The ArcView Spatial Analyst is an ArcView 3.x extension includes ESRI's ModelBuilder technology for building and sharing spatial models.
ArcView Spatial Analyst provides a broad range of powerful spatial modeling and analysis features previously not available to desktop users. This extension allows you to create, query, map, and analyze cell-based raster data and to perform integrated vector-raster analysis.
With Spatial Analyst you can:
* Convert feature themes (point, line, or polygon) to grid themes
* Create raster buffers based on distance or proximity from feature or grid themes
* Create density maps from themes containing point features
* Create continuous surfaces from scattered point features
* Create contour, slope, and aspect maps and hillshades of these surfaces
* Do cell-based map analysis
* Perform Boolean queries and algebraic calculations on multiple grid themes simultaneously
* Perform neighborhood and zone analysis
* Do grid classification and display, and more
Unique to ArcView Spatial Analyst is the ability not only to work with raster-based data (including the ability to overlay, query, and display multiple raster themes) but also to do integrated raster-vector theme analysis such as aggregating properties of a raster theme based on an overlaid vector theme. For example, direct mail campaigns can be focused on customers within complex polygon areas that are determined by spatial analysis of drive time and proximity to service centers.
ArcView Spatial Analyst is particularly well suited for providing solutions to problems that require distance or other continuous surface modeling information to be considered as part of the analysis. For example, site suitability analysis often requires combining information about slope (information best represented as raster data), as well as the location of roads and property boundaries (information best represented as vector data) to arrive at the best location for a new facility. Spatial Analyst can not only generate the appropriate surface representation of information from a variety of existing data sources, but it can also derive new information from the overlay of multiple theme types. The results are then used to suggest possible solutions to the original problem.
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