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" Statistical Methods for Spatial Planning and Monitoring "
edited by Silvestro Montrone, Paola Perchinunno.
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BL
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| Record Number
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616895
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dltt
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| Main Entry
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Montrone, Silvestro.
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| Title & Author
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Statistical Methods for Spatial Planning and Monitoring\ edited by Silvestro Montrone, Paola Perchinunno.
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| Publication Statement
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Milano :: Springer Milan :: Imprint: Springer,, 2013.
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| Series Statement
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Contributions to Statistics,
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IX, 158 p. 47 illus.: digital.
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| ISBN
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9788847027510
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| Contents
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<p>1. Geographical Disparities in Mortality Rates: Spatial Data Mining and Bayesian Hierarchical Modeling -- 2. A Fuzzy Approach to Ward\U+2019\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.\U+00a0\\U+00a0\</p>.
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| Abstract
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<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":\ص+٠٠ف٠\ 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>
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Statistics.
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Computer vision.
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Statistics.
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Statistics, general.
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Computer Imaging, Vision, Pattern Recognition and Graphics.
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| Added Entry
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Perchinunno, Paola.
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SpringerLink (Online service)
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