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ArcGIS Spatial Analyst - spatial modeling and analysis tools
Features > Key Features of ArcGIS Spatial Analyst 

Key Features of ArcGIS Spatial Analyst

ArcGIS Spatial Analyst adds a comprehensive set of advanced spatial modeling and analysis tools to the ArcGIS Desktop.

 

A key benefit of GIS is the ability to apply spatial operators to GIS data to derive new information. ArcGIS Spatial Analyst adds a comprehensive, wide range of raster and vector GIS operators to ArcGIS.
This site selection map is the result of a model to find suitable locations for building a new school, considering factors such as distance to existing schools, slope, and land use. 

As a GIS modeler, this is the central tool set you'll use for analysis and modeling. These tools form the foundation for all spatial modeling and geoprocessing. Of the three main types of GIS data (raster, vector, and TIN), the raster data structure provides the richest modeling environment and operators for spatial analysis.

The following operations and more are possible using the tools available with ArcGIS Spatial Analyst.

  • Provide analysis on all raster and vector formats supported by ArcGIS
  • Offer support for selection on raster and feature inputs (on-the-fly masking)
  • Deliver on-the-fly reprojection during analysis
  • Provide graphical modeling environment

  • Offer numerous graphic user interface and customization approaches to analysis tools
  • Create raster buffers based on distance or proximity from features or rasters
  • Generate density maps from point features
  • Create continuous surfaces from scattered points or contours
  • Derive contour, slope, and aspect maps and hillshades of surface
This site selection model illustrates the process used to create the map above. It combines several different variables using a weighted overlay technique to arrive at an index of suitability. 

  • Perform cell-based map analysis
  • Simultaneously execute Boolean queries and algebraic calculations on multiple inputs
  • Perform neighborhood and zonal analyses
  • Do discrete cell-by-cell analysis
  • Perform grid classification and display
  • Derive surface and groundwater hydrologic parameters
  • Perform generalization and data cleanup
  • Provide great developer tools


Detailed key features


Next: Query and Data Exploration


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