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GitHub - opengeos/leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 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flex-lg-row flex-auto rounded rounded-lg-0"> <nav class="HeaderMenu-nav" aria-label="Global"> <ul class="d-lg-flex list-style-none"> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Product <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_advanced_security","context":"product","tag":"link","label":"github_advanced_security_link_product_navbar"}" href="https://github.com/security/advanced-security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Advanced Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" 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Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"codespaces","context":"product","tag":"link","label":"codespaces_link_product_navbar"}" href="https://github.com/features/codespaces"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-codespaces color-fg-subtle mr-3"> <path d="M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 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0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"github_skills","context":"product","tag":"link","label":"github_skills_link_product_navbar"}" href="https://skills.github.com"> GitHub Skills <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 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</div> </modal-dialog></div> </div> <div data-action="click:qbsearch-input#retract" class="dark-backdrop position-fixed" hidden data-target="qbsearch-input.darkBackdrop"></div> <div class="color-fg-default"> <dialog-helper> <dialog data-target="qbsearch-input.feedbackDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="feedback-dialog" aria-modal="true" aria-labelledby="feedback-dialog-title" aria-describedby="feedback-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="feedback-dialog-title"> Provide feedback </h1> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="feedback-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button 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seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" 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src=\"https://camo.githubusercontent.com/baac5085608e1285a422e373945e41e810144b009aaa69805aedde9c78a6f7b1/68747470733a2f2f7374617469632e706570792e746563682f62616467652f6c6561666d6170\" alt=\"image\" data-canonical-src=\"https://static.pepy.tech/badge/leafmap\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/conda-forge/leafmap-feedstock\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/39541d8c935edc21b897a2b432408f0ec2123f00c2eb181b9459f15a54fb20a8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f7265636970652d6c6561666d61702d677265656e2e737667\" alt=\"Conda Recipe\" data-canonical-src=\"https://img.shields.io/badge/recipe-leafmap-green.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://anaconda.org/conda-forge/leafmap\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/bb49f8121e1e79a929e5d8e92f931a959c8f725eb001321df41bc8d0439b8fc1/68747470733a2f2f696d672e736869656c64732e696f2f636f6e64612f766e2f636f6e64612d666f7267652f6c6561666d61702e737667\" alt=\"image\" data-canonical-src=\"https://img.shields.io/conda/vn/conda-forge/leafmap.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://anaconda.org/conda-forge/leafmap\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/5bc50a2f74deb83f9267eafc33fa171f49cb0c8c6873948f43860e5141dbe459/68747470733a2f2f696d672e736869656c64732e696f2f636f6e64612f646e2f636f6e64612d666f7267652f6c6561666d61702e737667\" alt=\"Conda Downloads\" data-canonical-src=\"https://img.shields.io/conda/dn/conda-forge/leafmap.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://leafmap.org\" rel=\"nofollow\"\u003e\u003cimg src=\"https://github.com/opengeos/leafmap/workflows/docs/badge.svg\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/opengeos/leafmap/actions\"\u003e\u003cimg src=\"https://github.com/opengeos/leafmap/workflows/Linux%20build/badge.svg\" alt=\"image\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://results.pre-commit.ci/latest/github/opengeos/leafmap/master\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/a07f03602fcfb3109c55f8048d0157a5da3217740d664946da05be7ffd7129d4/68747470733a2f2f726573756c74732e7072652d636f6d6d69742e63692f62616467652f6769746875622f6f70656e67656f732f6c6561666d61702f6d61737465722e737667\" alt=\"pre-commit.ci status\" data-canonical-src=\"https://results.pre-commit.ci/badge/github/opengeos/leafmap/master.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://opensource.org/licenses/MIT\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/6cd0120cc4c5ac11d28b2c60f76033b52db98dac641de3b2644bb054b449d60c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d79656c6c6f772e737667\" alt=\"image\" data-canonical-src=\"https://img.shields.io/badge/License-MIT-yellow.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://youtube.com/@giswqs\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/1b387ba63a9b3406fa71d142f54b6d762d25114b447ef916c4dbe43f81b2bd19/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f596f75547562652d4368616e6e656c2d726564\" alt=\"image\" data-canonical-src=\"https://img.shields.io/badge/YouTube-Channel-red\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://doi.org/10.21105/joss.03414\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/bad74b27fed5667de4ae849b37dfa6c417b051b6430968f17a16f0da00db00ef/68747470733a2f2f6a6f73732e7468656f6a2e6f72672f7061706572732f31302e32313130352f6a6f73732e30333431342f7374617475732e737667\" alt=\"status\" data-canonical-src=\"https://joss.theoj.org/papers/10.21105/joss.03414/status.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/opengeos/leafmap/blob/master/docs/assets/logo.png\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/opengeos/leafmap/master/docs/assets/logo_rect.png\" alt=\"logo\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eA Python package for geospatial analysis and interactive mapping in a Jupyter environment.\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eGitHub repo: \u003ca href=\"https://github.com/opengeos/leafmap\"\u003ehttps://github.com/opengeos/leafmap\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eDocumentation: \u003ca href=\"https://leafmap.org\" rel=\"nofollow\"\u003ehttps://leafmap.org\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003ePyPI: \u003ca href=\"https://pypi.org/project/leafmap\" rel=\"nofollow\"\u003ehttps://pypi.org/project/leafmap\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eConda-forge: \u003ca href=\"https://anaconda.org/conda-forge/leafmap\" rel=\"nofollow\"\u003ehttps://anaconda.org/conda-forge/leafmap\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eLeafmap tutorials on YouTube: \u003ca href=\"https://youtube.com/@giswqs\" rel=\"nofollow\"\u003ehttps://youtube.com/@giswqs\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eFree software: \u003ca href=\"https://opensource.org/licenses/MIT\" rel=\"nofollow\"\u003eMIT license\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eJoin our Discord server 👇\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://discord.gg/UgZecTUq5P\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/82cf8fce6ed9e61a8a802bd860d4c66dafbd8b6309a5a2758bc8f27f53314000/68747470733a2f2f646362616467652e6c696d65732e70696e6b2f6170692f7365727665722f68747470733a2f2f646973636f72642e67672f55675a65635455713550\" alt=\"\" data-canonical-src=\"https://dcbadge.limes.pink/api/server/https://discord.gg/UgZecTUq5P\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eIntroduction\u003c/h2\u003e\u003ca id=\"user-content-introduction\" class=\"anchor\" aria-label=\"Permalink: Introduction\" href=\"#introduction\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eLeafmap\u003c/strong\u003e is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the \u003ca href=\"https://geemap.org\" rel=\"nofollow\"\u003egeemap\u003c/a\u003e Python package, which was designed specifically to work with \u003ca href=\"https://earthengine.google.com\" rel=\"nofollow\"\u003eGoogle Earth Engine\u003c/a\u003e (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, JupyterLab, and \u003ca href=\"https://github.com/marimo-team/marimo\"\u003emarimo\u003c/a\u003e. Leafmap is built upon several open-source packages, such as \u003ca href=\"https://github.com/python-visualization/folium\"\u003efolium\u003c/a\u003e and \u003ca href=\"https://github.com/jupyter-widgets/ipyleaflet\"\u003eipyleaflet\u003c/a\u003e (for creating interactive maps), \u003ca href=\"https://github.com/jblindsay/whitebox-tools\"\u003eWhiteboxTools\u003c/a\u003e and \u003ca href=\"https://github.com/opengeos/whiteboxgui\"\u003ewhiteboxgui\u003c/a\u003e (for analyzing geospatial data), and \u003ca href=\"https://github.com/jupyter-widgets/ipywidgets\"\u003eipywidgets\u003c/a\u003e (for designing interactive graphical user interface [GUI]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains \u003cstrong\u003e500+\u003c/strong\u003e tools for advanced geospatial analysis, such as \u003ca href=\"https://jblindsay.github.io/wbt_book/available_tools/gis_analysis.html\" rel=\"nofollow\"\u003eGIS Analysis\u003c/a\u003e, \u003ca href=\"https://jblindsay.github.io/wbt_book/available_tools/geomorphometric_analysis.html\" rel=\"nofollow\"\u003eGeomorphometric Analysis\u003c/a\u003e, \u003ca href=\"https://jblindsay.github.io/wbt_book/available_tools/hydrological_analysis.html\" rel=\"nofollow\"\u003eHydrological Analysis\u003c/a\u003e, \u003ca href=\"https://jblindsay.github.io/wbt_book/available_tools/lidar_tools.html\" rel=\"nofollow\"\u003eLiDAR Data Analysis\u003c/a\u003e, \u003ca href=\"https://jblindsay.github.io/wbt_book/available_tools/mathand_stats_tools.html\" rel=\"nofollow\"\u003eMathematical and Statistical Analysis\u003c/a\u003e, and \u003ca href=\"https://jblindsay.github.io/wbt_book/available_tools/stream_network_analysis.html\" rel=\"nofollow\"\u003eStream Network Analysis\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAcknowledgments\u003c/h2\u003e\u003ca id=\"user-content-acknowledgments\" class=\"anchor\" aria-label=\"Permalink: Acknowledgments\" href=\"#acknowledgments\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis project is supported by Amazon Web Services (\u003ca href=\"https://aws.amazon.com\" rel=\"nofollow\"\u003eAWS\u003c/a\u003e).\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eStatement of Need\u003c/h2\u003e\u003ca id=\"user-content-statement-of-need\" class=\"anchor\" aria-label=\"Permalink: Statement of Need\" href=\"#statement-of-need\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThere is a plethora of Python packages for geospatial analysis, such as \u003ca href=\"https://geopandas.org\" rel=\"nofollow\"\u003egeopandas\u003c/a\u003e for vector data analysis and \u003ca href=\"https://docs.xarray.dev\" rel=\"nofollow\"\u003exarray\u003c/a\u003e for raster data analysis. As listed at \u003ca href=\"https://pyviz.org\" rel=\"nofollow\"\u003epyviz.org\u003c/a\u003e, there are also many options for plotting data on a map in Python, ranging from libraries focused specifically on maps like \u003ca href=\"https://ipyleaflet.readthedocs.io\" rel=\"nofollow\"\u003eipyleaflet\u003c/a\u003e and \u003ca href=\"https://python-visualization.github.io/folium\" rel=\"nofollow\"\u003efolium\u003c/a\u003e to general-purpose plotting tools that also support geospatial data types, such as \u003ca href=\"https://hvplot.pyviz.org\" rel=\"nofollow\"\u003ehvPlot\u003c/a\u003e, \u003ca href=\"http://bokeh.org\" rel=\"nofollow\"\u003ebokeh\u003c/a\u003e, and \u003ca href=\"https://plotly.com/python\" rel=\"nofollow\"\u003eplotly\u003c/a\u003e. While these tools provide powerful capabilities, displaying geospatial data from different file formats on an interactive map and performing basic analyses can be challenging, especially for users with limited coding skills. Furthermore, many tools lack bi-directional communication between the frontend (browser) and the backend (Python), limiting their interactivity and usability for exploring map data.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eLeafmap addresses these challenges by leveraging the bidirectional communication provided by ipyleaflet, enabling users to load and visualize geospatial datasets with just one line of code. Leafmap also provides an interactive graphical user interface (GUI) for loading geospatial datasets without any coding. It is designed for anyone who wants to analyze and visualize geospatial data interactively in a Jupyter environment, making it particularly accessible for novice users with limited programming skills. Advanced programmers can also benefit from leafmap for geospatial data analysis and building interactive web applications.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUsage\u003c/h2\u003e\u003ca id=\"user-content-usage\" class=\"anchor\" aria-label=\"Permalink: Usage\" href=\"#usage\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eLaunch the interactive notebook tutorial for the \u003cstrong\u003eleafmap\u003c/strong\u003e Python package with Google Colab, Binder, or Amazon Sagemaker Studio Lab now:\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://colab.research.google.com/github/opengeos/leafmap/blob/master\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/96889048f8a9014fdeba2a891f97150c6aac6e723f5190236b10215a97ed41f3/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667\" alt=\"image\" data-canonical-src=\"https://colab.research.google.com/assets/colab-badge.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://mybinder.org/v2/gh/opengeos/leafmap/HEAD\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/7861126a7eb56440456a50288331e87b9604edbaa125354195637561fd400014/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667\" alt=\"image\" data-canonical-src=\"https://mybinder.org/badge_logo.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://studiolab.sagemaker.aws/import/github/opengeos/leafmap/blob/master/examples/notebooks/00_key_features.ipynb\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/62c255fa4d4e987c38098a8b83903840f3ca78819803a335449c2ca35292790a/68747470733a2f2f73747564696f6c61622e736167656d616b65722e6177732f73747564696f6c61622e737667\" alt=\"Open In Studio Lab\" data-canonical-src=\"https://studiolab.sagemaker.aws/studiolab.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eCheck out this excellent article on Medium - \u003ca href=\"https://link.medium.com/HRRKDcynYgb\" rel=\"nofollow\"\u003eLeafmap a new Python Package for Geospatial data science\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTo learn more about leafmap, check out the leafmap documentation website - \u003ca href=\"https://leafmap.org\" rel=\"nofollow\"\u003ehttps://leafmap.org\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/0c0300b5e1c1e55ab6ae89a1e4bc1c3a28eb2699d8415fa71ca150528f01b3ec/68747470733a2f2f692e696d6775722e636f6d2f616264387054482e676966\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/0c0300b5e1c1e55ab6ae89a1e4bc1c3a28eb2699d8415fa71ca150528f01b3ec/68747470733a2f2f692e696d6775722e636f6d2f616264387054482e676966\" alt=\"\" data-animated-image=\"\" data-canonical-src=\"https://i.imgur.com/abd8pTH.gif\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eKey Features\u003c/h2\u003e\u003ca id=\"user-content-key-features\" class=\"anchor\" aria-label=\"Permalink: Key Features\" href=\"#key-features\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eLeafmap offers a wide range of features and capabilities that empower geospatial data scientists, researchers, and developers to unlock the potential of their data. Some of the key features include:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eCreating an interactive map with just one line of code:\u003c/strong\u003e Leafmap makes it easy to create an interactive map by providing a simple API that allows you to load and visualize geospatial datasets with minimal coding.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eSwitching between different mapping backends:\u003c/strong\u003e Leafmap supports multiple mapping backends, including ipyleaflet, folium, kepler.gl, pydeck, and bokeh. You can switch between these backends to create maps with different visualization styles and capabilities.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eChanging basemaps interactively:\u003c/strong\u003e Leafmap allows you to change basemaps interactively, providing a variety of options such as OpenStreetMap, Stamen Terrain, CartoDB Positron, and many more.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eAdding XYZ, WMS, and vector tile services:\u003c/strong\u003e You can easily add XYZ, WMS, and vector tile services to your map, allowing you to overlay additional geospatial data from various sources.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eDisplaying vector data:\u003c/strong\u003e Leafmap supports various vector data formats, including Shapefile, GeoJSON, GeoPackage, and any vector format supported by GeoPandas. You can load and display vector data on the map, enabling you to visualize and analyze spatial features.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eDisplaying raster data:\u003c/strong\u003e Leafmap allows you to load and display raster data, such as GeoTIFFs, on the map. This feature is useful for visualizing satellite imagery, digital elevation models, and other gridded datasets.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eCreating custom legends and colorbars:\u003c/strong\u003e Leafmap provides tools for customizing legends and colorbars on the map, allowing you to represent data values with different colors and corresponding labels.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eCreating split-panel maps and linked maps:\u003c/strong\u003e With Leafmap, you can create split-panel maps to compare different datasets side by side. You can also create linked maps that synchronize interactions between multiple maps, providing a coordinated view of different spatial data.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eDownloading and visualizing OpenStreetMap data:\u003c/strong\u003e Leafmap allows you to download and visualize OpenStreetMap data, providing access to detailed street maps, buildings, and other points of interest.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eCreating and editing vector data interactively:\u003c/strong\u003e Leafmap includes tools for creating and editing vector data interactively on the map. You can draw points, lines, and polygons, and modify them as needed.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eSearching for geospatial data:\u003c/strong\u003e Leafmap provides functionality for searching and accessing geospatial data from sources such as SpatialTemporal Asset Catalogs (STAC), Microsoft Planetary Computer, AWS Open Data Registry, and OpenAerialMap.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eInspecting pixel values interactively:\u003c/strong\u003e Leafmap allows you to interactively inspect pixel values in raster datasets, helping you analyze and understand the data at a more granular level.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eCreating choropleth maps and heat maps:\u003c/strong\u003e Leafmap supports the creation of choropleth maps, where colors represent different data values for specific geographic areas. You can also create heat maps to visualize data density.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eDisplaying data from a PostGIS database:\u003c/strong\u003e Leafmap provides tools for connecting to a PostGIS database and displaying spatial data stored in the database on the map.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eCreating time series animations:\u003c/strong\u003e Leafmap enables the creation of time series animations from both vector and raster data, allowing you to visualize temporal changes in your geospatial datasets.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eAnalyzing geospatial data with whitebox:\u003c/strong\u003e Leafmap integrates with WhiteboxTools and whiteboxgui, providing a suite of geospatial analyses, such as hydrological analysis, terrain analysis, and LiDAR processing.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eSegmenting and classifying remote sensing imagery:\u003c/strong\u003e Leafmap integrates the segment-geospatial package, which provides tools for segmenting and classifying remote sensing imagery using deep learning algorithms.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eBuilding interactive web apps:\u003c/strong\u003e Leafmap supports the development of interactive web applications using frameworks like Voila, Streamlit, and Solara. This allows you to share your geospatial analyses and visualizations with others in a user-friendly web interface.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eThese features and capabilities make leafmap a powerful tool for geospatial data exploration, analysis, and visualization. Whether you are a beginner or an experienced geospatial data scientist, leafmap provides an accessible and efficient way to work with geospatial data in Python.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCitations\u003c/h2\u003e\u003ca id=\"user-content-citations\" class=\"anchor\" aria-label=\"Permalink: Citations\" href=\"#citations\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you find \u003cstrong\u003eleafmap\u003c/strong\u003e useful in your research, please consider citing the following paper to support my work. Thank you for your support.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eWu, Q. (2021). Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. \u003cem\u003eJournal of Open Source Software\u003c/em\u003e, 6(63), 3414. \u003ca href=\"https://doi.org/10.21105/joss.03414\" rel=\"nofollow\"\u003ehttps://doi.org/10.21105/joss.03414\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDemo\u003c/h2\u003e\u003ca id=\"user-content-demo\" class=\"anchor\" aria-label=\"Permalink: Demo\" href=\"#demo\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/04f25d5eff3392305025db3da8cfd70b34feb9feecc46e30ce195d502017171a/68747470733a2f2f6173736574732e6769736875622e6f72672f696d616765732f6c6561666d61705f64656d6f2e676966\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/04f25d5eff3392305025db3da8cfd70b34feb9feecc46e30ce195d502017171a/68747470733a2f2f6173736574732e6769736875622e6f72672f696d616765732f6c6561666d61705f64656d6f2e676966\" alt=\"\" data-animated-image=\"\" data-canonical-src=\"https://assets.gishub.org/images/leafmap_demo.gif\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eYouTube Channel\u003c/h2\u003e\u003ca id=\"user-content-youtube-channel\" class=\"anchor\" aria-label=\"Permalink: YouTube Channel\" href=\"#youtube-channel\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eI have created a \u003ca href=\"https://youtube.com/@giswqs\" rel=\"nofollow\"\u003eYouTube Channel\u003c/a\u003e for sharing geospatial tutorials. You can subscribe to my channel for regular updates. Check out the following videos for 3D mapping with MapLibre and Leafmap.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://bit.ly/maplibre\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/508a7e8b29bf2d257fd01318745843eebe8ddd370658970a86d46f02dc461483/68747470733a2f2f6173736574732e6769736875622e6f72672f696d616765732f6d61706c696272652d7475746f7269616c732e706e67\" alt=\"MapLibre tutorials\" data-canonical-src=\"https://assets.gishub.org/images/maplibre-tutorials.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Welcome to leafmap","anchor":"welcome-to-leafmap","htmlText":"Welcome to leafmap"},{"level":2,"text":"Introduction","anchor":"introduction","htmlText":"Introduction"},{"level":2,"text":"Acknowledgments","anchor":"acknowledgments","htmlText":"Acknowledgments"},{"level":2,"text":"Statement of Need","anchor":"statement-of-need","htmlText":"Statement of Need"},{"level":2,"text":"Usage","anchor":"usage","htmlText":"Usage"},{"level":2,"text":"Key Features","anchor":"key-features","htmlText":"Key Features"},{"level":2,"text":"Citations","anchor":"citations","htmlText":"Citations"},{"level":2,"text":"Demo","anchor":"demo","htmlText":"Demo"},{"level":2,"text":"YouTube Channel","anchor":"youtube-channel","htmlText":"YouTube Channel"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fopengeos%2Fleafmap"}},{"displayName":"CODE_OF_CONDUCT.md","repoName":"leafmap","refName":"master","path":"CODE_OF_CONDUCT.md","preferredFileType":"code_of_conduct","tabName":"Code of 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d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://studiolab.sagemaker.aws/import/github/opengeos/leafmap/blob/master/examples/notebooks/00_key_features.ipynb" rel="nofollow"><img src="https://camo.githubusercontent.com/62c255fa4d4e987c38098a8b83903840f3ca78819803a335449c2ca35292790a/68747470733a2f2f73747564696f6c61622e736167656d616b65722e6177732f73747564696f6c61622e737667" alt="image" data-canonical-src="https://studiolab.sagemaker.aws/studiolab.svg" 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src="https://camo.githubusercontent.com/6cd0120cc4c5ac11d28b2c60f76033b52db98dac641de3b2644bb054b449d60c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d79656c6c6f772e737667" alt="image" data-canonical-src="https://img.shields.io/badge/License-MIT-yellow.svg" style="max-width: 100%;"></a> <a href="https://youtube.com/@giswqs" rel="nofollow"><img src="https://camo.githubusercontent.com/1b387ba63a9b3406fa71d142f54b6d762d25114b447ef916c4dbe43f81b2bd19/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f596f75547562652d4368616e6e656c2d726564" alt="image" data-canonical-src="https://img.shields.io/badge/YouTube-Channel-red" style="max-width: 100%;"></a> <a href="https://doi.org/10.21105/joss.03414" rel="nofollow"><img src="https://camo.githubusercontent.com/bad74b27fed5667de4ae849b37dfa6c417b051b6430968f17a16f0da00db00ef/68747470733a2f2f6a6f73732e7468656f6a2e6f72672f7061706572732f31302e32313130352f6a6f73732e30333431342f7374617475732e737667" alt="status" data-canonical-src="https://joss.theoj.org/papers/10.21105/joss.03414/status.svg" style="max-width: 100%;"></a></p> <p dir="auto"><a href="https://github.com/opengeos/leafmap/blob/master/docs/assets/logo.png"><img src="https://raw.githubusercontent.com/opengeos/leafmap/master/docs/assets/logo_rect.png" alt="logo" style="max-width: 100%;"></a></p> <p dir="auto"><strong>A Python package for geospatial analysis and interactive mapping in a Jupyter environment.</strong></p> <ul dir="auto"> <li>GitHub repo: <a href="https://github.com/opengeos/leafmap">https://github.com/opengeos/leafmap</a></li> <li>Documentation: <a href="https://leafmap.org" rel="nofollow">https://leafmap.org</a></li> <li>PyPI: <a href="https://pypi.org/project/leafmap" rel="nofollow">https://pypi.org/project/leafmap</a></li> <li>Conda-forge: <a href="https://anaconda.org/conda-forge/leafmap" rel="nofollow">https://anaconda.org/conda-forge/leafmap</a></li> <li>Leafmap tutorials on YouTube: <a href="https://youtube.com/@giswqs" rel="nofollow">https://youtube.com/@giswqs</a></li> <li>Free software: <a href="https://opensource.org/licenses/MIT" rel="nofollow">MIT license</a></li> </ul> <p dir="auto">Join our Discord server 👇</p> <p dir="auto"><a href="https://discord.gg/UgZecTUq5P" rel="nofollow"><img src="https://camo.githubusercontent.com/82cf8fce6ed9e61a8a802bd860d4c66dafbd8b6309a5a2758bc8f27f53314000/68747470733a2f2f646362616467652e6c696d65732e70696e6b2f6170692f7365727665722f68747470733a2f2f646973636f72642e67672f55675a65635455713550" alt="" data-canonical-src="https://dcbadge.limes.pink/api/server/https://discord.gg/UgZecTUq5P" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Introduction</h2><a id="user-content-introduction" class="anchor" aria-label="Permalink: Introduction" href="#introduction"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Leafmap</strong> is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the <a href="https://geemap.org" rel="nofollow">geemap</a> Python package, which was designed specifically to work with <a href="https://earthengine.google.com" rel="nofollow">Google Earth Engine</a> (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, JupyterLab, and <a href="https://github.com/marimo-team/marimo">marimo</a>. Leafmap is built upon several open-source packages, such as <a href="https://github.com/python-visualization/folium">folium</a> and <a href="https://github.com/jupyter-widgets/ipyleaflet">ipyleaflet</a> (for creating interactive maps), <a href="https://github.com/jblindsay/whitebox-tools">WhiteboxTools</a> and <a href="https://github.com/opengeos/whiteboxgui">whiteboxgui</a> (for analyzing geospatial data), and <a href="https://github.com/jupyter-widgets/ipywidgets">ipywidgets</a> (for designing interactive graphical user interface [GUI]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains <strong>500+</strong> tools for advanced geospatial analysis, such as <a href="https://jblindsay.github.io/wbt_book/available_tools/gis_analysis.html" rel="nofollow">GIS Analysis</a>, <a href="https://jblindsay.github.io/wbt_book/available_tools/geomorphometric_analysis.html" rel="nofollow">Geomorphometric Analysis</a>, <a href="https://jblindsay.github.io/wbt_book/available_tools/hydrological_analysis.html" rel="nofollow">Hydrological Analysis</a>, <a href="https://jblindsay.github.io/wbt_book/available_tools/lidar_tools.html" rel="nofollow">LiDAR Data Analysis</a>, <a href="https://jblindsay.github.io/wbt_book/available_tools/mathand_stats_tools.html" rel="nofollow">Mathematical and Statistical Analysis</a>, and <a href="https://jblindsay.github.io/wbt_book/available_tools/stream_network_analysis.html" rel="nofollow">Stream Network Analysis</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Acknowledgments</h2><a id="user-content-acknowledgments" class="anchor" aria-label="Permalink: Acknowledgments" href="#acknowledgments"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This project is supported by Amazon Web Services (<a href="https://aws.amazon.com" rel="nofollow">AWS</a>).</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Statement of Need</h2><a id="user-content-statement-of-need" class="anchor" aria-label="Permalink: Statement of Need" href="#statement-of-need"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">There is a plethora of Python packages for geospatial analysis, such as <a href="https://geopandas.org" rel="nofollow">geopandas</a> for vector data analysis and <a href="https://docs.xarray.dev" rel="nofollow">xarray</a> for raster data analysis. As listed at <a href="https://pyviz.org" rel="nofollow">pyviz.org</a>, there are also many options for plotting data on a map in Python, ranging from libraries focused specifically on maps like <a href="https://ipyleaflet.readthedocs.io" rel="nofollow">ipyleaflet</a> and <a href="https://python-visualization.github.io/folium" rel="nofollow">folium</a> to general-purpose plotting tools that also support geospatial data types, such as <a href="https://hvplot.pyviz.org" rel="nofollow">hvPlot</a>, <a href="http://bokeh.org" rel="nofollow">bokeh</a>, and <a href="https://plotly.com/python" rel="nofollow">plotly</a>. While these tools provide powerful capabilities, displaying geospatial data from different file formats on an interactive map and performing basic analyses can be challenging, especially for users with limited coding skills. Furthermore, many tools lack bi-directional communication between the frontend (browser) and the backend (Python), limiting their interactivity and usability for exploring map data.</p> <p dir="auto">Leafmap addresses these challenges by leveraging the bidirectional communication provided by ipyleaflet, enabling users to load and visualize geospatial datasets with just one line of code. Leafmap also provides an interactive graphical user interface (GUI) for loading geospatial datasets without any coding. It is designed for anyone who wants to analyze and visualize geospatial data interactively in a Jupyter environment, making it particularly accessible for novice users with limited programming skills. Advanced programmers can also benefit from leafmap for geospatial data analysis and building interactive web applications.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Usage</h2><a id="user-content-usage" class="anchor" aria-label="Permalink: Usage" href="#usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Launch the interactive notebook tutorial for the <strong>leafmap</strong> Python package with Google Colab, Binder, or Amazon Sagemaker Studio Lab now:</p> <p dir="auto"><a href="https://colab.research.google.com/github/opengeos/leafmap/blob/master" rel="nofollow"><img src="https://camo.githubusercontent.com/96889048f8a9014fdeba2a891f97150c6aac6e723f5190236b10215a97ed41f3/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667" alt="image" data-canonical-src="https://colab.research.google.com/assets/colab-badge.svg" style="max-width: 100%;"></a> <a href="https://mybinder.org/v2/gh/opengeos/leafmap/HEAD" rel="nofollow"><img src="https://camo.githubusercontent.com/7861126a7eb56440456a50288331e87b9604edbaa125354195637561fd400014/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667" alt="image" data-canonical-src="https://mybinder.org/badge_logo.svg" style="max-width: 100%;"></a> <a href="https://studiolab.sagemaker.aws/import/github/opengeos/leafmap/blob/master/examples/notebooks/00_key_features.ipynb" rel="nofollow"><img src="https://camo.githubusercontent.com/62c255fa4d4e987c38098a8b83903840f3ca78819803a335449c2ca35292790a/68747470733a2f2f73747564696f6c61622e736167656d616b65722e6177732f73747564696f6c61622e737667" alt="Open In Studio Lab" data-canonical-src="https://studiolab.sagemaker.aws/studiolab.svg" style="max-width: 100%;"></a></p> <p dir="auto">Check out this excellent article on Medium - <a href="https://link.medium.com/HRRKDcynYgb" rel="nofollow">Leafmap a new Python Package for Geospatial data science</a></p> <p dir="auto">To learn more about leafmap, check out the leafmap documentation website - <a href="https://leafmap.org" rel="nofollow">https://leafmap.org</a></p> <p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/0c0300b5e1c1e55ab6ae89a1e4bc1c3a28eb2699d8415fa71ca150528f01b3ec/68747470733a2f2f692e696d6775722e636f6d2f616264387054482e676966"><img src="https://camo.githubusercontent.com/0c0300b5e1c1e55ab6ae89a1e4bc1c3a28eb2699d8415fa71ca150528f01b3ec/68747470733a2f2f692e696d6775722e636f6d2f616264387054482e676966" alt="" data-animated-image="" data-canonical-src="https://i.imgur.com/abd8pTH.gif" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Key Features</h2><a id="user-content-key-features" class="anchor" aria-label="Permalink: Key Features" href="#key-features"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Leafmap offers a wide range of features and capabilities that empower geospatial data scientists, researchers, and developers to unlock the potential of their data. Some of the key features include:</p> <ul dir="auto"> <li> <p dir="auto"><strong>Creating an interactive map with just one line of code:</strong> Leafmap makes it easy to create an interactive map by providing a simple API that allows you to load and visualize geospatial datasets with minimal coding.</p> </li> <li> <p dir="auto"><strong>Switching between different mapping backends:</strong> Leafmap supports multiple mapping backends, including ipyleaflet, folium, kepler.gl, pydeck, and bokeh. You can switch between these backends to create maps with different visualization styles and capabilities.</p> </li> <li> <p dir="auto"><strong>Changing basemaps interactively:</strong> Leafmap allows you to change basemaps interactively, providing a variety of options such as OpenStreetMap, Stamen Terrain, CartoDB Positron, and many more.</p> </li> <li> <p dir="auto"><strong>Adding XYZ, WMS, and vector tile services:</strong> You can easily add XYZ, WMS, and vector tile services to your map, allowing you to overlay additional geospatial data from various sources.</p> </li> <li> <p dir="auto"><strong>Displaying vector data:</strong> Leafmap supports various vector data formats, including Shapefile, GeoJSON, GeoPackage, and any vector format supported by GeoPandas. You can load and display vector data on the map, enabling you to visualize and analyze spatial features.</p> </li> <li> <p dir="auto"><strong>Displaying raster data:</strong> Leafmap allows you to load and display raster data, such as GeoTIFFs, on the map. This feature is useful for visualizing satellite imagery, digital elevation models, and other gridded datasets.</p> </li> <li> <p dir="auto"><strong>Creating custom legends and colorbars:</strong> Leafmap provides tools for customizing legends and colorbars on the map, allowing you to represent data values with different colors and corresponding labels.</p> </li> <li> <p dir="auto"><strong>Creating split-panel maps and linked maps:</strong> With Leafmap, you can create split-panel maps to compare different datasets side by side. You can also create linked maps that synchronize interactions between multiple maps, providing a coordinated view of different spatial data.</p> </li> <li> <p dir="auto"><strong>Downloading and visualizing OpenStreetMap data:</strong> Leafmap allows you to download and visualize OpenStreetMap data, providing access to detailed street maps, buildings, and other points of interest.</p> </li> <li> <p dir="auto"><strong>Creating and editing vector data interactively:</strong> Leafmap includes tools for creating and editing vector data interactively on the map. You can draw points, lines, and polygons, and modify them as needed.</p> </li> <li> <p dir="auto"><strong>Searching for geospatial data:</strong> Leafmap provides functionality for searching and accessing geospatial data from sources such as SpatialTemporal Asset Catalogs (STAC), Microsoft Planetary Computer, AWS Open Data Registry, and OpenAerialMap.</p> </li> <li> <p dir="auto"><strong>Inspecting pixel values interactively:</strong> Leafmap allows you to interactively inspect pixel values in raster datasets, helping you analyze and understand the data at a more granular level.</p> </li> <li> <p dir="auto"><strong>Creating choropleth maps and heat maps:</strong> Leafmap supports the creation of choropleth maps, where colors represent different data values for specific geographic areas. You can also create heat maps to visualize data density.</p> </li> <li> <p dir="auto"><strong>Displaying data from a PostGIS database:</strong> Leafmap provides tools for connecting to a PostGIS database and displaying spatial data stored in the database on the map.</p> </li> <li> <p dir="auto"><strong>Creating time series animations:</strong> Leafmap enables the creation of time series animations from both vector and raster data, allowing you to visualize temporal changes in your geospatial datasets.</p> </li> <li> <p dir="auto"><strong>Analyzing geospatial data with whitebox:</strong> Leafmap integrates with WhiteboxTools and whiteboxgui, providing a suite of geospatial analyses, such as hydrological analysis, terrain analysis, and LiDAR processing.</p> </li> <li> <p dir="auto"><strong>Segmenting and classifying remote sensing imagery:</strong> Leafmap integrates the segment-geospatial package, which provides tools for segmenting and classifying remote sensing imagery using deep learning algorithms.</p> </li> <li> <p dir="auto"><strong>Building interactive web apps:</strong> Leafmap supports the development of interactive web applications using frameworks like Voila, Streamlit, and Solara. This allows you to share your geospatial analyses and visualizations with others in a user-friendly web interface.</p> </li> </ul> <p dir="auto">These features and capabilities make leafmap a powerful tool for geospatial data exploration, analysis, and visualization. Whether you are a beginner or an experienced geospatial data scientist, leafmap provides an accessible and efficient way to work with geospatial data in Python.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Citations</h2><a id="user-content-citations" class="anchor" aria-label="Permalink: Citations" href="#citations"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If you find <strong>leafmap</strong> useful in your research, please consider citing the following paper to support my work. Thank you for your support.</p> <ul dir="auto"> <li>Wu, Q. (2021). Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. <em>Journal of Open Source Software</em>, 6(63), 3414. <a href="https://doi.org/10.21105/joss.03414" rel="nofollow">https://doi.org/10.21105/joss.03414</a></li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Demo</h2><a id="user-content-demo" class="anchor" aria-label="Permalink: Demo" href="#demo"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/04f25d5eff3392305025db3da8cfd70b34feb9feecc46e30ce195d502017171a/68747470733a2f2f6173736574732e6769736875622e6f72672f696d616765732f6c6561666d61705f64656d6f2e676966"><img src="https://camo.githubusercontent.com/04f25d5eff3392305025db3da8cfd70b34feb9feecc46e30ce195d502017171a/68747470733a2f2f6173736574732e6769736875622e6f72672f696d616765732f6c6561666d61705f64656d6f2e676966" alt="" data-animated-image="" data-canonical-src="https://assets.gishub.org/images/leafmap_demo.gif" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">YouTube Channel</h2><a id="user-content-youtube-channel" class="anchor" aria-label="Permalink: YouTube Channel" href="#youtube-channel"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">I have created a <a href="https://youtube.com/@giswqs" rel="nofollow">YouTube Channel</a> for sharing geospatial tutorials. You can subscribe to my channel for regular updates. Check out the following videos for 3D mapping with MapLibre and Leafmap.</p> <p dir="auto"><a href="https://bit.ly/maplibre" rel="nofollow"><img src="https://camo.githubusercontent.com/508a7e8b29bf2d257fd01318745843eebe8ddd370658970a86d46f02dc461483/68747470733a2f2f6173736574732e6769736875622e6f72672f696d616765732f6d61706c696272652d7475746f7269616c732e706e67" alt="MapLibre tutorials" data-canonical-src="https://assets.gishub.org/images/maplibre-tutorials.png" style="max-width: 100%;"></a></p> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" value="hMy0DuxCzclat3z7Ol4Wb1h4f647ZY5E5sV570zyJF8810h+QFwt+54NV2qr4OLNR3wskAocZ8dCEZTaM/xsiQ==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment </p> <div class="my-3 d-flex flex-items-center"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link flex-shrink-0 mr-2"> <path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path> </svg> <span class="flex-auto min-width-0 css-truncate css-truncate-target width-fit"> <a title="https://leafmap.org" role="link" target="_blank" rel="noopener noreferrer nofollow" class="text-bold" href="https://leafmap.org">leafmap.org</a> </span> </div> <h3 class="sr-only">Topics</h3> <div class="my-3"> <div class="f6"> <a href="/topics/python" title="Topic: python" data-view-component="true" class="topic-tag topic-tag-link"> python </a> <a href="/topics/data-science" title="Topic: data-science" data-view-component="true" class="topic-tag topic-tag-link"> data-science </a> <a href="/topics/dataviz" title="Topic: dataviz" data-view-component="true" class="topic-tag topic-tag-link"> dataviz </a> <a href="/topics/jupyter" title="Topic: jupyter" data-view-component="true" class="topic-tag topic-tag-link"> jupyter </a> <a href="/topics/mapping" title="Topic: mapping" data-view-component="true" class="topic-tag topic-tag-link"> mapping </a> <a href="/topics/geospatial" title="Topic: geospatial" data-view-component="true" class="topic-tag topic-tag-link"> geospatial </a> <a href="/topics/plotly" title="Topic: plotly" data-view-component="true" class="topic-tag topic-tag-link"> plotly </a> <a href="/topics/jupyter-notebook" title="Topic: jupyter-notebook" data-view-component="true" class="topic-tag topic-tag-link"> jupyter-notebook </a> <a href="/topics/gis" title="Topic: gis" data-view-component="true" class="topic-tag topic-tag-link"> gis </a> <a href="/topics/folium" title="Topic: folium" data-view-component="true" class="topic-tag topic-tag-link"> folium </a> <a href="/topics/solara" title="Topic: solara" data-view-component="true" class="topic-tag topic-tag-link"> solara </a> <a href="/topics/geospatial-analysis" title="Topic: geospatial-analysis" data-view-component="true" class="topic-tag topic-tag-link"> geospatial-analysis </a> <a href="/topics/ipyleaflet" title="Topic: ipyleaflet" data-view-component="true" class="topic-tag topic-tag-link"> ipyleaflet </a> <a href="/topics/geopython" title="Topic: geopython" data-view-component="true" class="topic-tag topic-tag-link"> geopython </a> <a href="/topics/streamlit" title="Topic: streamlit" data-view-component="true" class="topic-tag topic-tag-link"> streamlit </a> <a href="/topics/streamlit-webapp" title="Topic: streamlit-webapp" data-view-component="true" class="topic-tag topic-tag-link"> streamlit-webapp </a> <a href="/topics/whiteboxtools" title="Topic: whiteboxtools" data-view-component="true" class="topic-tag topic-tag-link"> whiteboxtools </a> <a href="/topics/leafmap" title="Topic: leafmap" data-view-component="true" class="topic-tag topic-tag-link"> leafmap </a> <a href="/topics/geoparquet" title="Topic: geoparquet" data-view-component="true" class="topic-tag topic-tag-link"> geoparquet </a> </div> </div> <h3 class="sr-only">Resources</h3> <div class="mt-2"> <a class="Link--muted" data-analytics-event="{"category":"Repository Overview","action":"click","label":"location:sidebar;file:readme"}" href="#readme-ov-file"> <svg 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2.096-2.366 2.717ZM8 10a2 2 0 1 1-.001-3.999A2 2 0 0 1 8 10Z"></path> </svg> <strong>60</strong> watching</a> </div> <h3 class="sr-only">Forks</h3> <div class="mt-2"> <a href="/opengeos/leafmap/forks" data-view-component="true" class="Link Link--muted"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2"> <path d="M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z"></path> </svg> <strong>408</strong> forks</a> </div> <div class="mt-2"> <a class="Link--muted" href="/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fopengeos%2Fleafmap&report=opengeos+%28user%29"> Report repository </a> </div> </div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame"> <a href="/opengeos/leafmap/releases" data-view-component="true" class="Link--primary no-underline Link">Releases <span title="226" data-view-component="true" class="Counter">226</span></a></h2> <a class="Link--primary d-flex no-underline" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/opengeos/leafmap/releases/tag/v0.43.3"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-tag flex-shrink-0 mt-1 color-fg-success"> <path d="M1 7.775V2.75C1 1.784 1.784 1 2.75 1h5.025c.464 0 .91.184 1.238.513l6.25 6.25a1.75 1.75 0 0 1 0 2.474l-5.026 5.026a1.75 1.75 0 0 1-2.474 0l-6.25-6.25A1.752 1.752 0 0 1 1 7.775Zm1.5 0c0 .066.026.13.073.177l6.25 6.25a.25.25 0 0 0 .354 0l5.025-5.025a.25.25 0 0 0 0-.354l-6.25-6.25a.25.25 0 0 0-.177-.073H2.75a.25.25 0 0 0-.25.25ZM6 5a1 1 0 1 1 0 2 1 1 0 0 1 0-2Z"></path> </svg> <div class="ml-2 min-width-0"> <div class="d-flex"> <span class="css-truncate css-truncate-target text-bold mr-2" style="max-width: none;">v0.43.3</span> <span title="Label: Latest" data-view-component="true" class="Label Label--success flex-shrink-0"> Latest </span> </div> <div class="text-small color-fg-muted"><relative-time datetime="2025-04-07T01:49:56Z" class="no-wrap">Apr 7, 2025</relative-time></div> </div> </a> <div data-view-component="true" class="mt-3"> <a text="small" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/opengeos/leafmap/releases" data-view-component="true" class="Link">+ 225 releases</a></div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3">Sponsor this project</h2> <include-fragment src="/opengeos/leafmap/sponsors_list?block_button=false&current_repository=leafmap" aria-busy="true" aria-label="Loading sponsorable links"> <ul class="list-style-none"> <li class="mb-2 d-flex"> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> <div class="Skeleton Skeleton--text flex-1 flex-self-center f4"> </div> </li> </ul> </include-fragment> <ul class="list-style-none"> <li class="mb-2 d-flex"> <span class="mr-2 d-flex flex-items-center flex-justify-center" style="min-width:32px;height:32px;"> <svg class="octicon octicon-link color-fg-muted" alt="custom" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg> </span> <span class="flex-self-center flex-auto min-width-0 css-truncate css-truncate-target width-fit"> <a target="_blank" data-ga-click="Dashboard, click, Nav menu - item:org-profile context:organization" data-hydro-click="{"event_type":"sponsors.repo_funding_links_link_click","payload":{"platform":{"platform_type":"CUSTOM","platform_url":"buymeacoffee.com/giswqs"},"platforms":[{"platform_type":"GITHUB","platform_url":"https://github.com/giswqs"},{"platform_type":"CUSTOM","platform_url":"buymeacoffee.com/giswqs"}],"repo_id":346188421,"owner_id":129896036,"user_id":null,"originating_url":"https://github.com/opengeos/leafmap"}}" data-hydro-click-hmac="d3469f6f3f9b1fec97ce9c6f07688eafa698f4ad1e0f8111ad3e938cc910a2f1" rel="noopener noreferrer" href="http://buymeacoffee.com/giswqs">buymeacoffee.com/giswqs</a> </span> </li> </ul> <div class="text-small mt-3"> <a href="/sponsors">Learn more about GitHub Sponsors</a> </div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <include-fragment src="/opengeos/leafmap/packages_list?current_repository=leafmap" aria-busy="true" aria-label="Loading latest packages"> <h2 class="h4 mb-3"> <a href="/orgs/opengeos/packages?repo_name=leafmap" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center">Packages <span title="0" hidden="hidden" data-view-component="true" class="Counter ml-1">0</span></a></h2> <div class="mb-2 d-flex flex-items-center"> <div class="Skeleton mr-2" style="width:20px;height:20px;"></div> <div class="Skeleton Skeleton--text flex-auto"> </div> </div> <div class="mb-2 d-flex flex-items-center"> <div class="Skeleton mr-2" style="width:20px;height:20px;"></div> <div class="Skeleton Skeleton--text flex-auto"> </div> </div> <div class="mb-2 d-flex flex-items-center"> <div class="Skeleton mr-2" style="width:20px;height:20px;"></div> <div class="Skeleton Skeleton--text flex-auto"> </div> </div> </include-fragment> </div> </div> <div class="BorderGrid-row" > <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/opengeos/leafmap/network/dependents" data-view-component="true" class="Link--primary no-underline Link">Used by <span title="2,125" data-view-component="true" class="Counter">2.1k</span></a> </h2> <a class="d-flex flex-items-center" href="/opengeos/leafmap/network/dependents"> <ul class="hx_flex-avatar-stack list-style-none min-width-0"> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/5016453?s=64&v=4" width="32" height="32" alt="@giswqs" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/5016453?s=64&v=4" width="32" height="32" alt="@giswqs" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/203485752?s=64&v=4" width="32" height="32" alt="@KwasiKodie" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/150359596?s=64&v=4" width="32" height="32" alt="@Strelok047" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/12206163?s=64&v=4" width="32" height="32" alt="@slimane-lakehal" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/71163693?s=64&v=4" width="32" height="32" alt="@Thaliavch" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/196350245?s=64&v=4" width="32" height="32" alt="@eafriyie28" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/50613424?s=64&v=4" width="32" height="32" alt="@GGweelplay" /> </li> </ul> <span class="px-2 text-bold text-small no-wrap"> + 2,117 </span> </a> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/opengeos/leafmap/graphs/contributors" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center">Contributors <span title="38" data-view-component="true" class="Counter ml-1">38</span></a></h2> <ul class="list-style-none d-flex flex-wrap mb-n2"> <li class="mb-2 mr-2" > <a href="https://github.com/giswqs" class="" data-hovercard-type="user" data-hovercard-url="/users/giswqs/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/5016453?s=64&v=4" alt="@giswqs" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/apps/pre-commit-ci" class="" > <img src="https://avatars.githubusercontent.com/in/68672?s=64&v=4" alt="@pre-commit-ci[bot]" size="32" height="32" width="32" data-view-component="true" class="avatar" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/slowy07" class="" data-hovercard-type="user" data-hovercard-url="/users/slowy07/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/40540262?s=64&v=4" alt="@slowy07" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/apps/dependabot" class="" > <img src="https://avatars.githubusercontent.com/in/29110?s=64&v=4" alt="@dependabot[bot]" size="32" height="32" width="32" data-view-component="true" class="avatar" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/rowheat02" class="" data-hovercard-type="user" data-hovercard-url="/users/rowheat02/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/40065760?s=64&v=4" alt="@rowheat02" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/darrenwiens" class="" data-hovercard-type="user" data-hovercard-url="/users/darrenwiens/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/13876814?s=64&v=4" alt="@darrenwiens" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/lopezvoliver" class="" data-hovercard-type="user" data-hovercard-url="/users/lopezvoliver/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/14804652?s=64&v=4" alt="@lopezvoliver" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/sdruskat" class="" data-hovercard-type="user" data-hovercard-url="/users/sdruskat/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/3007126?s=64&v=4" alt="@sdruskat" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/neteler" class="" data-hovercard-type="user" data-hovercard-url="/users/neteler/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/1295172?s=64&v=4" alt="@neteler" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/1tylermitchell" class="" data-hovercard-type="user" data-hovercard-url="/users/1tylermitchell/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/518729?s=64&v=4" alt="@1tylermitchell" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/prusswan" class="" data-hovercard-type="user" data-hovercard-url="/users/prusswan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/671970?s=64&v=4" alt="@prusswan" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/junjiez" class="" data-hovercard-type="user" data-hovercard-url="/users/junjiez/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/1124502?s=64&v=4" alt="@junjiez" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/jbednar" class="" data-hovercard-type="user" data-hovercard-url="/users/jbednar/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/1695496?s=64&v=4" alt="@jbednar" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/MikeBeller" class="" data-hovercard-type="user" data-hovercard-url="/users/MikeBeller/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/1700778?s=64&v=4" alt="@MikeBeller" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> </ul> <div data-view-component="true" class="mt-3"> <a text="small" href="/opengeos/leafmap/graphs/contributors" data-view-component="true" class="Link--inTextBlock Link">+ 24 contributors</a></div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3">Languages</h2> <div class="mb-2"> <span data-view-component="true" class="Progress"> <span style="background-color:#3572A5 !important;;width: 99.5%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#ededed !important;;width: 0.5%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> </span></div> <ul class="list-style-none"> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/opengeos/leafmap/search?l=python" data-ga-click="Repository, language stats 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data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> You can’t perform that action at this time. </div> <template id="site-details-dialog"> <details class="details-reset details-overlay details-overlay-dark lh-default color-fg-default hx_rsm" open> <summary role="button" aria-label="Close dialog"></summary> <details-dialog class="Box Box--overlay d-flex flex-column anim-fade-in fast hx_rsm-dialog hx_rsm-modal"> <button class="Box-btn-octicon m-0 btn-octicon position-absolute right-0 top-0" type="button" aria-label="Close dialog" data-close-dialog> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> <div class="octocat-spinner my-6 js-details-dialog-spinner"></div> </details-dialog> </details> </template> <div class="Popover js-hovercard-content position-absolute" style="display: none; outline: none;"> <div class="Popover-message Popover-message--bottom-left Popover-message--large Box color-shadow-large" style="width:360px;"> </div> </div> <template id="snippet-clipboard-copy-button"> <div class="zeroclipboard-container position-absolute right-0 top-0"> <clipboard-copy aria-label="Copy" class="ClipboardButton btn js-clipboard-copy m-2 p-0" data-copy-feedback="Copied!" data-tooltip-direction="w"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon m-2"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z"></path><path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none m-2"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> <template id="snippet-clipboard-copy-button-unpositioned"> <div class="zeroclipboard-container"> <clipboard-copy aria-label="Copy" class="ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center" data-copy-feedback="Copied!" data-tooltip-direction="w"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z"></path><path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> </div> <div id="js-global-screen-reader-notice" class="sr-only mt-n1" aria-live="polite" aria-atomic="true" ></div> <div id="js-global-screen-reader-notice-assertive" class="sr-only mt-n1" aria-live="assertive" aria-atomic="true"></div> </body> </html>