An Online Viewer for Geospatial Space- Time Themes James Seppi GISWR2009 University of Texas.

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Presentation transcript:

An Online Viewer for Geospatial Space- Time Themes James Seppi GISWR2009 University of Texas

At CRWR we use the ODM Time Series Analyst (TSA) for viewing and downloading time series data However, the TSA requires a single ODM database, which are organized by provider (TCEQ, TCOON, TPWD, etc.) What if we want to aggregate data for a specific variable across a variety of providers? BACKGROUND

We can define a Theme for the variable of interest Idea and design from Dr. Tim Whiteaker Represented by a feature class called a Thematic Dataset Catalog A Thematic Dataset Catalog contains: Geospatial information – i.e., the measurement sites for the variable of interest All the information required to call a WaterOneFlow webservice to get the time series data WSDL URL, Location (site code), Variable Other relevant information Start and end date, value count, etc. THEMES

Explore the ArcGIS Server Javascript API Learn more about using webservices, particularly WaterOneFlow Create a rich web application to view Themes Useful Reusable Intuitive OBJECTIVES

INTRODUCING…

ArcGIS Server Map Services ArcGIS Server API for Javascript Dojo Javascript Toolkit, including Dijit and DojoX PHP, including PHP_Soap extension ~500 lines of Javascript, 250 lines of PHP, 200 lines of HTML and CSS TECHNOLOGIES

Search by site name, site code, etc. Quickly see site information and representative time series statistics View a plot of the time series for any site Download time series data for a specific site Code is easily reused, so making a page for a new Theme only requires setting a few parameters FEATURES

DEMO

Takeaway: Standardized, documented services can be combined to create useful mash-up applications. Future Enhancements: Create a “site basket”, so multiple sites can be selected and quickly compared Better statistical methods (ie., take nondetects into account); add a cumulative frequency plot Transform XML values file into more easily used CSV file Automatically build ThemeViewer pages from a listing of published themes CONCLUSIONS & FUTURE WORK