The Resource Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors
Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors
Resource Information
The item Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- "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."--Publisher's website
- Language
- eng
- Extent
- 1 online resource (ix, 158 pages)
- 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
- Isbn
- 9788847027510
- Label
- Statistical methods for spatial planning and monitoring
- Title
- Statistical methods for spatial planning and monitoring
- Statement of responsibility
- Silvestro Montrone, Paola Perchinunno, editors
- Language
- eng
- Summary
- "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."--Publisher's website
- Cataloging source
- E7B
- Dewey number
- 519.5
- Illustrations
- illustrations
- Index
- no index present
- LC call number
- QA278.2
- LC item number
- .S73 2012eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- NLM call number
- Online Book
- http://library.link/vocab/relatedWorkOrContributorName
-
- Montrone, Silvestro
- Perchinunno, Paola
- Series statement
- Contributions to statistics,
- http://library.link/vocab/subjectName
-
- Spatial analysis (Statistics)
- Mathematical statistics
- Statistics as Topic
- MATHEMATICS
- Mathematical statistics
- Spatial analysis (Statistics)
- Label
- Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Control code
- 820818716
- Dimensions
- unknown
- Extent
- 1 online resource (ix, 158 pages)
- Form of item
- online
- Isbn
- 9788847027510
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-88-470-2751-0
- Other physical details
- illustrations.
- Specific material designation
- remote
- System control number
- (OCoLC)820818716
- Label
- Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Control code
- 820818716
- Dimensions
- unknown
- Extent
- 1 online resource (ix, 158 pages)
- Form of item
- online
- Isbn
- 9788847027510
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-88-470-2751-0
- Other physical details
- illustrations.
- Specific material designation
- remote
- System control number
- (OCoLC)820818716
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Statistical-methods-for-spatial-planning-and/fBJD4-2YLgo/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Statistical-methods-for-spatial-planning-and/fBJD4-2YLgo/">Statistical methods for spatial planning and monitoring, Silvestro Montrone, Paola Perchinunno, editors</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
