This book provides an introduction to spatial analyses concerning
disaggregated (or micro) spatial data. Particular emphasis is put
on spatial data compilation and the structuring of the connections
between the observations. Descriptive analysis methods of spatial
data are presented in order to identify and measure the spatial,
global and local dependency. The authors then focus on
autoregressive spatial models, to control the problem of spatial
dependency between the residues of a basic linear statistical
model, thereby contravening one of the basic hypotheses of the
ordinary least squares approach. This book is a popularized
reference for students looking to work with spatialized data, but
who do not have the advanced statistical theoretical basics.
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