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Learning Objectives:

Compare and contrast spatial statistical analysis, spatial data analysis, and spatial modeling

Compare and contrast the methods of analyzing aggregate data as opposed to methods of analyzing a set of individual observations

Define the terms spatial analysis, spatial modeling, geostatistics, spatial econometrics, spatial statistics, qualitative analysis, map algebra, and network analysis

Differentiate between geostatistics and spatial statistics

Discuss situations when it is desirable to adopt a spatial approach to the analysis of data

Explain what is added to spatial analysis to make it spatio-temporal analysis

Explain what is special (i.e., difficult) about geospatial data analysis and why some traditional statistical analysis techniques are not suited to geographic problems

Outline the sequence of tasks required to complete the analytical process for a given spatial problem

Compare and contrast spatial statistics and map algebra as two very different kinds of data analysis

You are currently viewing an archived version of Topic . If updates or revisions have been published you can find them at .