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Spatial Data Analysis: Problems, Techniques and Applications (English, German, Hardcover, Edition. ed.)
Loot Price: R2,259
Discovery Miles 22 590
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Spatial Data Analysis: Problems, Techniques and Applications (English, German, Hardcover, Edition. ed.)
Series: Advances in Geographic Information Science
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Applications of spatial data, coupled with geographic information
systems, are finding increasing use in the disciplines of geography
and geology, as well as environmental science, ecology,
epidemiology, economics and the social sciences. Disciplines that
are concerned with spatial variations and patterns and the
relationships between such patterns. Spatial data is defined here
as data where the absolute locations and/or relative spatial
locations of the observations are taken into account, in addition
to the values relating to the phenomena of interest. This textbook
is aimed at students seeking to apply GIS and spatial data analysis
and statistics to their fields of study and focuses on detecting
patterns and exploring and modeling relationships between such
patterns in order to understand the processes responsible for the
observed patterns. It avoids an exhaustive presentation of the
whole of spatial data analysis, providing instead a subset of
techniques that are both accessible and of practical use. The
spatial analysis techniques presented include: visualisation tools,
exploratory devices and more formal model-based approaches. The
data used are subdivided into four broad data types: those
concerned with the location of point events (spatial point
patterns); with measurements made over a set of areal units (area
data); with attributes measured at sampled point locations
(geostatistical data); and with the spatial interaction of flow
data consisting of measurements which are associated with a link or
pair of locations representing points or areas. Each chapter is
accompanied by a set of examples, case studies and computer based
exercises which involve real world data sets and reflect a range of
applications across disciplines. A package of specially prepared
software tools accompanies the book, incorporating the data sets
used in the text.
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