Details
Statistical Methods for Spatial Planning and Monitoring
Contributions to Statistics
CHF 59.00 |
|
Verlag: | Springer |
Format: | |
Veröffentl.: | 23.10.2012 |
ISBN/EAN: | 9788847027510 |
Sprache: | englisch |
Anzahl Seiten: | 158 |
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Beschreibungen
<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><p>
<p>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 <i>GIS</i>: 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. </p>
<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>
Direct correspondence between the proposal statistical methods and land related problems Illustration of several techniques of spatial data analysis Real estate valuation and related support and planning policies