Statistical Methods for Spatial Planning and Monitoring

Silvestro Montrone, Paola Perchinunno

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English

Springer Verlag
24 October 2012

Probability & statistics; Computer vision

Series: Contributions to Statistics

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.

Edited by: Silvestro Montrone, Paola Perchinunno
Imprint: Springer Verlag
Country of Publication: Italy
Edition: 2013 ed.
Volume: 34
Dimensions: Height: 235mm, Width: 155mm, Spine: 11mm
Weight: 454g
ISBN: 9788847027503
ISBN 10: 8847027500
Series: Contributions to Statistics
Pages: 158
Publication Date: 24 October 2012
Audience: College/higher education , Further / Higher Education
Format: Hardback
Publisher's Status: Active

1. Geographical Disparities in Mortality Rates: Spatial Data Mining and Bayesian Hierarchical Modeling.- 2. A Fuzzy Approach to Ward’s Method of Classification: an Application Case To the Italian University System.- 3. Geostatistics and the Role of Variogram in Time Series Analysis: a Critical Review.- 4. Geostatistics and GIS: Tools for Environmental Risk Assessment.- 5. Socio-Economic Zoning: Comparing Two Statistical Methods.- 6. A Geostatistical Approach to Measure Shrinking Cities: the Case of Taranto.- 7. Social Identity as Determinant of Real Estate Economy in Manhattan.

Reviews for Statistical Methods for Spatial Planning and Monitoring

From the book reviews: The book presents solid and accessible strategies and provides the policy maker with a valued support to policy development. ... All the chapters in this book are organized and well presented. Each paper begins with an introduction and concludes with a list of references. The intended audience for this book is presumably policy makers. However, researchers and graduate students who are involved with spatial modeling can also benefit from this book. (S. E. Ahmed, Technometrics, Vol. 56 (1), January, 2014)