Time Series data display and analysis

<!DOCTYPE html> <html> <head> <title>Time Series data display and analysis</title> <link rel="STYLESHEET" href="/main.css"> <meta name="keywords" content="time series data, monitoring data"> <script language="JavaScript">  </script> </head> <body bgcolor="white" text="black" link="blue" vlink="gray" alink="blue"> <font face="Arial,Helvetica"></font> <center> <font face="Arial,Helvetica"></font> <table cellpadding="0" cellspacing="0" width="980" border="0" valign="top"> <tr> <td valign="top" width="780"> <center> <map name="header" id="header"> <area shape="rect" coords="5,70,40,115" href="/" onmouseover="window.status='ESS - Return to Homepage'; return true" onmouseout="window.status='ESS - Enviromental Software & Services'; return true"> <area shape="rect" coords="40,70,76,115" href="mailto:info@ess.co.at" onmouseover="window.status='Send your mail to info@ess.co.at'; return true" onmouseout="window.status='ESS - Enviromental Software & Services'; return true"> <area shape="rect" coords="76,70,113,115" href="search.html" onmouseover="window.status='Keyword Search'; return true" onmouseout="window.status='ESS - Enviromental Software & Services'; return true"> <area shape="rect" coords="113,70,150,115" href="/TOOLKIT" onmouseover="window.status='Back'; return true" onmouseout="window.status='ESS - Enviromental Software & Services'; return true"> </map> <img src="/GIF/780_toolkit.jpg" width="780" height="120" border="0" alt="" usemap="#header"><br> </center> </td> <td width="200" align="right"><font size="5">Real-time data<br> Acquisition<br> and Analysis</font></td> </tr> </table> <center> <font face="Arial,Helvetica"></font> <table cellpadding="10" cellspacing="0" width="980" border="0" valign="top"> <tr> <td valign="top" width="980"> <font size="6">Monitoring data analysis: real-time capture and processing</font> <p><img src="/docs/GIFs/tsmain.gif" align="right" hspace="15" border="1" width="160" height="128" alt=""> Environmental information systems have to manage time series of monitoring data efficiently.<br> All ESS model and information systems share a set of generic functions with a common data structure to<br> <br></p> <table cellpadding="6" cellspacing="0" width="960" border="0" valign="top"> <tr> <td valign="top"><img src="/docs/GIFs/reddot.gif"></td> <td valign="top">integrate on-line monitoring data including real-time links</td> </tr> <tr> <td valign="top"><img src="/docs/GIFs/reddot.gif"></td> <td valign="top">display and analyse time series of monitoring data</td> </tr> <tr> <td valign="top"><img src="/docs/GIFs/reddot.gif"></td> <td valign="top">link the monitoring data to other system components such as the GIS<br> (spatial interpolation functions) and the simulation models<br> (initial and boundary conditions, real-time data assimilation, comparison and calibration)</td> </tr> </table> <p></p> <table cellpadding="0" cellspacing="0" width="980" border="0" valign="top"> <tr> <td width="980" bgcolor="#6666BB">  <font color="white" size="+1">A web-based ToolKit for monitoring data:   capture, processing, model integration, statistical analysis, display, storage</font></td> </tr> </table><br> Web-based, real-time system such as <a href="/AIRWARE">AirWare</a> and <a href="/WATERWARE">WaterWare</a> include a a set of functions for the capture, display, and analysis of time series of observation and monitoring data, model validation (direct comparison of model results and monitoring data) as well as the animation of dynamic model results. <p>Examples of this data management tools and their integration with simulation models are <b><a href="/WATERWARE/">WaterWare</a></b> and <a href="/AIRWARE/">AirWare</a>. The on-line manuals describe the features of a number of new <a href="/EUREKA/MANUAL/TS_format.html">time series</a> display and analysis functions.</p> <table cellpadding="6" cellspacing="0" width="960" border="0" valign="top"> <tr> <td width="660" valign="top"> The basic functionality includes the <b>display</b> of time series data, scrolling, zooming, aggregation, unit conversions, and reading back numerical values for individual dates and time stamps from the graphical display. <p>Data are shown for individual observation stations (or station objects), that can be selected either from a list of stations, or from the map.</p> </td> <td width="120" valign="top"> <a href="/WATERWARE/ww/ts1.html"><img src="/WATERWARE/GIF/ts1.gif" width="120" height="100" border="0"></a> </td> </tr> <tr> <td valign="top"> The <b>analysis</b> for a station's data is performed in the spatial context defined for the station, for example, a measurement network or a watershed. <p>While the data of an individual station are displayed in the time series graph, a list of neighbouring stations can be used to switch on or off other stations for the analysis.</p> </td> <td valign="top"> <a href="/WATERWARE/ww/ts2.html"><img src="/WATERWARE/GIF/ts2.gif" width="120" height="100" border="0"></a> </td> </tr> <tr> <td valign="top"> A date selector allows to define sub-periods of the time series, or find the maximum common temporal coverage for a set of stations. <p>Test include a test for <b>spatial homogeneity</b>, where the data from one station are compared against the average of its neighbouring stations, and deviations from a user-defined threshold around that mean are indicated.</p> </td> <td valign="top"> <a href="/WATERWARE/ww/ts3.html"><img src="/WATERWARE/GIF/ts4a.gif" width="120" height="100" border="0"></a> </td> </tr> <tr> <td valign="top">In a related test, the exceedance of individual values (raw data or aggregates for a specific period like a day, week, or month) are shown against an upper and lower limit drawn around the arithmetic mean of the variable analysed. A similar test shows the data against an upper threshold, for example and air quality standard, and counts the number of instances when the standard is violated. These frequencies are then compared against the substance specific rules for <b>compliance</b> with the respective environmental legislation.</td> <td valign="top"> <a href="/WATERWARE/ww/ts4.html"><img src="/WATERWARE/GIF/ts4.gif" width="120" height="100" border="0"></a> </td> </tr> <tr> <td valign="top"> Another test for the comparison of stations, in particular for cumulative variables like precipitation or runoff, is the comparison of mass curves. <p>Here the cumulative distributions are compared for two stations or groups of stations to highlight both absolute and relative differences between the data sets.</p> </td> <td valign="top"> <a href="/WATERWARE/ww/ts5.html"><img src="/WATERWARE/GIF/ts5.gif" width="120" height="100" border="0"></a> </td> </tr> <tr> <td valign="top">To analyse the seasonality of temporal variability of time series, a simple display of temporal auto-correlation values with increasing time shifts can be used. The resulting pattern, in this example monthly shifts of precipitation data, show a clear annual pattern. Depending on the temporal resolution or aggregation of the data, daily (hourly), weekly (daily), monthly (daily), and inter-annual (monthly) patterns can be analysed and displayed.</td> <td valign="top"> <a href="/WATERWARE/ww/ts6.html"><img src="/WATERWARE/GIF/ts6.gif" width="120" height="100" border="0"></a> </td> </tr> <tr> <td valign="top"> <b>Spatial interpolation</b> of oberservation data uses a distance-weighted interpolation function; depending on the type of variable, alternative methods can be used. <p>Interactive control over the display style, isoline display, and animation features are additional features of this module.</p> </td> <td valign="top"> <a href="/WATERWARE/ww/ts6.html"><img src="/WATERWARE/GIF/ts7.gif" width="120" height="100" border="0"></a> </td> </tr> </table> <p></p> </td> </tr> <tr> <td align='center' colspan="99"><img src="/GIF/780_divider.gif" width="920" border="0" alt=""><br> <font class="footer">© Copyright 1995-2018 by:   ESS   Environmental Software and Services GmbH AUSTRIA</font> | <b><a style='font-size:8pt;color:gray;' href="javascript:window.print();">print page</a></b></td> </tr> </table> </center> </center> </body> </html>

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Time Series data display and analysis