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Spatial Analysis

Contents 1 Spatial Analysis 2 References 3 Subsections of this Article 4 Information about this article 5 Contact

Spatial Analysis

Spatial analysis is an integral component of a GIS. It is a process by which raw data can be turned into useful information through the use of tools to support a broad range of spatial modeling and application requirements. These include:

• Surface creation (create grid themes from existing geographic data)
• Surface analysis (create buffers of distance from features, determine the proximity to a feature, derive density surfaces, and perform site suitability analysis)
• Terrain analysis (slope, aspect, hill shade, watershed delineation, visibility analysis, contour generation, and view-shed analysis)
• Overlay vectors on rasters, apply masks, and group raster areas inside vector polygons
• Map algebra (reclassify values, assign weighted values to grids, sum grid values within polygons, and sum grid values in multiple grids)
  

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References

Subsections of this Article

	Pagename	Short title	Description
Map Algebra	Map Algebra	Map Algebra	Map algebra provides tools to perform spatial analysis operations. Map algebra is based on matrix algebra which is the algebraic manipulation of matrices or grid networks
Map Interpolation	Map Interpolation	Interpolation	Interpolation is process by which a surface is created, usually a raster dataset, through the input of data collected at a number of sample points and those computed points
Map Overlay	Map Overlay	Overlay	Overlay operations are some of the most fundamental and most used processes in GIS applications

Information about this article

Short title: Spatial Analysis

Description: none

Expertise level: beginner

Author: Greg Reed

Approval status: approved

Approved by: Greg Reed

Last change: 2010-4-22

Subsection of: Geographic Information Systems (GIS)

Contact

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