Statistical Methods for Spatial Planning and Monitoring

✍ Scribed by Massimo Bilancia, Giusi Graziano (auth.), Silvestro Montrone, Paola Perchinunno (eds.)

• Publisher: Springer-Verlag Mailand
• Year: 2013
• Tongue: English
• Leaves: 166
• Series: Contributions to Statistics
• Edition: 1
• Category: Library

✦ Synopsis

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

Front Matter....Pages i-ix
Geographical Disparities in Mortality Rates: Spatial Data Mining and Bayesian Hierarchical Modeling....Pages 1-29
A Fuzzy Approach to Ward’s Method of Classification: An Application Case to the Italian University System....Pages 31-46
Geostatistics and the Role of Variogram in Time Series Analysis: A Critical Review....Pages 47-75
GIS and Geostatistics for Supporting Environmental Analyses in Space-Time....Pages 77-92
Socioeconomic Zoning: Comparing Two Statistical Methods....Pages 93-118
A Geostatistical Approach to Measure Shrinking Cities: The Case of Taranto....Pages 119-142
Social Identity as Determinant of Real Estate Economy in Manhattan....Pages 143-158

✦ Subjects

Statistics, general; Computer Imaging, Vision, Pattern Recognition and Graphics