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Spatial Data Analysis - Models, Methods and Techniques (Paperback, Edition.)
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Spatial Data Analysis - Models, Methods and Techniques (Paperback, Edition.)
Series: SpringerBriefs in Regional Science
Expected to ship within 10 - 15 working days
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The availability of spatial databases and widespread use of
geographic information systems has stimulated increasing interest
in the analysis and modelling of spatial data. Spatial data
analysis focuses on detecting patterns, and on exploring and
modelling relationships between them in order to understand the
processes responsible for their emergence. In this way, the role of
space is emphasised , and our understanding of the working and
representation of space, spatial patterns, and processes is
enhanced. In applied research, the recognition of the spatial
dimension often yields different and more meaningful results and
helps to avoid erroneous conclusions. This book aims to provide an
introduction into spatial data analysis to graduates interested in
applied statistical research. The text has been structured from a
data-driven rather than a theory-based perspective, and focuses on
those models, methods and techniques which are both accessible and
of practical use for graduate students. Exploratory techniques as
well as more formal model-based approaches are presented, and both
area data and origin-destination flow data are considered.
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