Statistical Methods for Spatial Planning and Monitoring

Paola Perchinunno

ISBN 10: 8847056071 / ISBN 13: 9788847056077

Verlag: Springer Milan, 2014

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9788847056077

Bibliografische Details

• Titel: Statistical Methods for Spatial Planning and Monitoring
• Verlag: Springer Milan
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 8847056071
• ISBN-13: 9788847056077
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.