Mastering Spatial Analyst with ArcGIS 9.2
The Spatial Analyst extension brings powerful raster data analysis and spatial modeling to ArcGIS. This course takes the ArcGIS user through the different functions of Spatial Analyst by using a scenario-based approach. This scenario approach means that users can learn how functions can solve or provide better understanding of real-World issues.
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Course Sections
Section 1 : Introduction to Spatial Analyst and GridsThe Spatial Analyst extension, Grid data structure, Grids & vector Data, Grid resolution, Surface interpolation, Integer grids, Floating point grids, Value attribute tables, Grid location & projection, Grid properties, Grid symbology, Spatial Analyst help
Section 2 : Managing and Creating GridsGrid data structure, Managing grids, Creating grids from existing data, Creating grids in ArcToolbox, Analysis Extent and Analysis Mask, Cell Size, Snap To option, Analysis options via ArcToolbox, Converting point, line, polygon data to grids, Converting grids to features, The generalize line option
Section 3 : Selecting & Reclassifying GridsGrid selection, Floating point to integer grid, Int function results, Selection options with grids, Reclassify function, Reclassify & floating point grids, Reclassify methods, Reclassify & integer grids, Saving remap tables, Grid histograms, Histograms & selections, Methods for defining cells for Histograms, Managing histograms
Section 4 : The Raster Calculator & Cell Statistic FunctionsRaster Calculator, Local, Focal, Global & Zonal functions, Simple arithmetic, Grids & arithmetic operators, Grids & comparison operators, Grids & logical operators, Advanced operators, Usage instructions, Cell statistics, Neighbourhood statistics, Rectangle, annulus, circle & wedge neighbourhoods
Section 5 : Spatial InterpolationSurface interpolation, Inverse Distance Weighted interpolation, Variable & Fixed radius, Interpolation barrier, Spline interpolation, Kriging: Ordinary and Universal methods, Trend interpolator, Contour layers, Interactive contours, Surface functions, Slope calculation, Hillshading
Section 6 : Distance & Density FunctionsDistance methods, Straight line distance, Distance between features, Distance between grid cells, Buffer grids, Allocation, Cost distance, Shortest paths, Density, Density & zonal statistics
Section 7 : The Viewshed FunctionThe Viewshed function, Observer properties, Observer viewing angles, Visibility of objects, Use of screening, Identifying problem cells
Section 8 : Hydrologic FunctionsElevation surface considerations, Flow direction, Identifying sinks, Imprinting lakes, Filling sinks, Flow accumulation, Stream channels, Stream features, Weighted flow accumulation, Stream ordering, Stream links, Watersheds, Drainage basins
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