ArcGIS Spatial Analyst

ArcGIS Spatial Analyst for Geospatial Intelligence

Raster data and ArcGIS Spatial Analyst: Why raster?; Discrete and continuous data; ArcGIS raster tools and capabilities; ArcGIS Spatial Analyst; Map algebra and the Raster Calculator.
Raster concepts: Input and output formats; Grid data model; Raster coordinate systems; Raster generalization; NGA data formats and coordinate systems; Registration and georeferencing; Cell coincidence; Resampling; Zones and regions; Grid attributes; Analysis environment; Setting projection, cell size, extent, and mask.
Map algebra: Language components; Syntax and rules; Objects; Operators; Commands; Functions.
Building a raster database: Data management and storage; Locating data; Data conversion; Raster processing; Storage; Georeferencing process; Setting links; Assessing accuracy; Saving the transformation; Projecting rasters.
Surface creation: Sampling methods; Creating continuous surfaces; Interpolation; Density surfaces in GIS; Interpolators (Inverse Distance Weighted, Spline, Trend, Kriging); PointInterp.
Topographic analysis: Data sources; Surface conversion; Contouring; Derive slope; Derive aspect; Curvature; Hillshade; Visibility analysis; Controlling visibility in a viewshed.
Hydrologic modeling (optional): Creating hydrologically correct topographic surfaces; Processing flow; Identifying and filling sinks; Flow direction; Stream networks; Drainage basins; Flow length; Tracing raindrops.
Distance tools: Euclidean distance, direction, and allocation; Weighted distance inputs, cost distance, cost path, and corridors.
Building models: Types of models; Binary suitability; Weighted suitability; Methodology; Defining the model; Developing measures and weights; Reclassifying layers into suitability; Weighting and combining the layers; Postprocessing the output.
Security threat exercise: Description; Relevant concepts; Analysis environment; CON function; POW function; Creating the risk surface; New intelligence; Building a viewshed; Controlling visibility in the viewshed; Euclidean distance; Weighted distance; Finding paths; Setting the analysis mask.
Presenting results: ArcGIS 3D Analyst; 3D data; Creating 3D data; ArcScene navigation; Displaying 3D data; Scene properties; Layer properties; TIN symbology.

Basics of ArcGIS Spatial Analyst: Overview of the extension; Understanding raster concepts; ArcGIS Spatial Analyst interface; Comparing rasters and feature layers; Querying rasters.
Structure of rasters: How to create raster datasets; Raster storage and management.
Aligning data: Raster registration and georeferencing; How projection affects analysis; Importing and exporting raster datasets.
Conducting surface analyses: Calculating density; Choosing an interpolation method; Interpolating a continuous raster from sample points; Contours and hillshading; Visibility analysis.
Map algebra functions: Writing expressions; Expression syntax.
Calculating distance measurements: Euclidean distance; Cost–distance; Finding the least-cost path.
Surface hydrology: Identifying watershed basins; Determining surface runoff characteristics.
Designing and implementing GIS models: Spatial modeling concepts and issues.

Audience : Town Planners, Ecologists, Oceanographers, Geographers, Geologists, Foresters, Agriculturalists
Prerequisites : Completion of course on Introduction to ArcGIS 9
Duration : 24 hours
Course Contents:
Understand the raster data model
Learn the ArcGIS Spatial Analyst interface
Convert data to raster format and build raster databases
Learn the map algebra functions
Interpolate surfaces from sample points
Density Surfaces
Perform Surface Hydrology functions
Apply basic modeling concepts
Weighted Overlay Analysis
Cross Country Mobility Model
Implement models

ArcGIS Spatial Analyst software provides tools for conducting sophisticated spatial analyses and creating different types of spatial models. This course covers fundamental raster data concepts and shows how to use ArcGIS Spatial Analyst tools to create, process, and analyze spatial data. Students focus on problems that are best solved in a raster environment such as surface analysis and distance measurement. The use of ArcGIS Spatial Analyst tools in the ArcGIS 9 geoprocessing framework is emphasized.

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