Statistical methods for spatial planning and monitoring
Author(s)
Bibliographic Information
Statistical methods for spatial planning and monitoring
(Contributions to statistics)
Springer , Physica-Verlag, c2013
Available at 4 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical reference
Description and Table of Contents
Description
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.
Table of Contents
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.
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