Summary
Contents
Subject index
The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realize they are dealing with spatial data, the demand for specialized statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The SAGE Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of spatial data analysis.
Introduction
Introduction
What is Spatial Analysis?
Spatial data contain locational information as well as attribute information. That is, they are data for which some attribute is recorded at different locations and these locations are coded as part of the data. Spatial analysis is a general term to describe a technique that uses this locational information in order to better understand the processes generating the observed attribute values.
Spatial analysis is important because it is increasingly recognized that most data are spatial. Examples of common types of spatial data include census data, traffic counts, patient records, the incidence of a disease, the location of facilities and services, the addresses of school pupils, customer databases, and the distributions of animal, insect or plant species. Along with various attributes collected by ...
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