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S patial Data Integration - 1 7 Spatial Data Integration Version 1 0.15 .0 0 , 20 1 3 -0 1 -09 This chapter will be updated when addition spatial data integration features are implemented. Much of the content at the end of this chapter is still relevant to the software, but will be updated significantly in the future . Although the main focus in TSTool is time series, many time series are associated with a location such as a station, area, or sensor. This chapter discusses the relationship between time series and spatial data and provides a n overview of using map -related features in TSTool. Time series concepts (such as time series identifiers) are discussed in detail in Chapter 2 – Introduction . Information about the built -in map display tool used in TSTool is provided in the GeoView Map ping Tools Appendix . The map capability in the TSTool user interface is limited and has not been fully developed. However, commands related to tables can be used to link time series to tables , f or example : • the ReadTableFromDBF() command can be used to r ead the attribute data from an E sri shapefile and attributes can be attached to time series using the SetTimeSeriesPropertiesFromTable() command • similarly, it is possible to use commands like CalculateTimeSeriesStatistic(), save to a table, and then join t he table in a spatial data layer using GIS tools • time series read from sources that provide location data typically have properties set during the read and these properties can be copied to a table with CopyTimeSeriesPropertiesToTable(), the table can be w ritten using WriteTableToDelimitedFile(), and then the file can be used by GIS software as a point layer It also is often possible to perform selections of time series based on spatial constraints, simply by using available attributes. For example USGS N WIS web services allow querying by county name and Hydrologic Unit Code. Of course, this requires that the locational properties for time series are available. The remainder of this chapter describes ma p -related features and concepts. Future TSTool enha ncements will build on features described in the above paragraph in order to allow automated processing of map data and products (similar to how the ProcessTSProduct() command processes time series products). 7.1 Time Series and Map Layer Relationships A n example is useful to provide an overview of the relationship between time series and map layers. Map layers often indicate physical features (e.g., rivers, cities, roads, data collection stations) or features that are overlaid on physical features (e.g., political boundaries, weather fronts, regions or points of interest). A layer’s data consist of: 1. Features – the coordinate information that defines the shape on the map. 2. Attributes – a tabular list of data valu es associated with the features. 3. Metadat a – data about the layer, including the source, coordinate system, history, etc. 4. Projection – the coordinate system for the coordinates, which is usually noted in metadata but may also be indicated by a projection file or similar. 99