The book aims to investigate methods and techniques for spatial
statistical analysis suitable to model spatial information in
support of decision systems. Over the last few years there has been
a considerable interest in these tools and in the role they can
play in spatial planning and environmental modelling.
One of the earliest and most famous definition of spatial
planning was a geographical expression to the economic, social,
cultural and ecological policies of society: borrowing from this
point of view, this text shows how an interdisciplinary approach is
an effective way to an harmonious integration of national policies
with regional and local analysis.
A wide range of spatial models and techniques is, also, covered:
spatial data mining, point processes analysis, nearest neighbor
statistics and cluster detection, Fuzzy Regression model and local
indicators of spatial association; all of these tools provide the
policy-maker with a valuable support to policy development.
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