Statistical Methods for Spatial Planning and Monitoring
By: edited by Silvestro Montrone, Paola Perchinunno
Contributors: Perchinunno, Paola; SpringerLink (Online service)
Series: Contributions to Statistics
Publisher: Springer Milan; Imprint: Springer
Published: 2013
Place of publication: Milano
Language: eng
Format: [electronic resource] /
Number of pages: 158
ISBN-13: 9788847027510
Subjects: Computer Imaging, Vision, Pattern Recognition and Graphics; Computer vision; Statistics; Statistics, general
Description: <p>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.</p><p>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.</p><p>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.</p>
Table of contents: title: <p>1. Geographical Disparities in Mortality Rates: Spatial Data Mining and Bayesian Hierarchical Modeling; title: 2. A Fuzzy Approach to Ward’s Method of Classification: an Application Case To the Italian University System; title: 3. Geostatistics and the Role of Variogram in Time Series Analysis: a Critical Review; title: 4. Geostatistics and <i>GIS</i>: Tools for Environmental Risk Assessment; title: 5. Socio-Economic Zoning: Comparing Two Statistical Methods; title: 6. A Geostatistical Approach to Measure Shrinking Cities: the Case of Taranto; title: 7. Social Identity as Determinant of Real Estate Economy in Manhattan.  </p>.