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.