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.
Spatial Weights
Spatial Weights
Weight Matrices
A weight matrix summarizes the spatial relationships in the data. In particular, the i'th row of a weight matrix shows observation i's relationship to all of the other observations. By convention, the main diagonal of this matrix consists of zeros. Because the weight matrix shows the relationships between all of the observations, its dimension is always N × N, where N is the number of observations. In most applications, the weight matrix itself is treated as exogenous; that is, it is assumed that the researcher knows how the observations are related to each other. Note that the space in which the observations are located need not be geographic; any type of space is acceptable, as long as the researcher can specify ...
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