Urban Spatial Structure Analysis

K. A. M. Perera

ISBN 10: 3846511366 / ISBN 13: 9783846511367

Published by LAP LAMBERT Academic Publishing Okt 2011, 2011

About this Item

Neuware -Uncontrolled rapid urban growth due to built-up area expansion over the last few decades has created critical problems to urban planners. Therefore, it is worth to identify spatial distribution pattern of built-up area in a town. Remote Sensing (RS) and Geographical Information System (GIS) provide a great potential for urban data collection & spatial analysis and not much academic literature exists on how to best utilize these technologies for urban studies. Traditional approaches to data collection and analysis no longer adequate to provide updated information for urban planners. This book, therefore, introduces alternative techniques for data collection, updating, detection of built-up area change and unauthorised constructions, identifying urban spatial distribution pattern considering built-up area density. New GIS spatial analysis techniques such as weighted mean centre and spatial autocorrelation tools introduced. These analysis techniques should help to shed light on the field of urban planning, and should be especially useful to students and professionals in urban planning or anyone else who may be considering utilizing RS and GIS for urban spatial structure analysis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.

Seller Inventory # 9783846511367

Bibliographic Details

• Title: Urban Spatial Structure Analysis
• Publisher: LAP LAMBERT Academic Publishing Okt 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3846511366
• ISBN 13: 9783846511367
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 149 grams

About this title

Synopsis

Uncontrolled rapid urban growth due to built-up area expansion over the last few decades has created critical problems to urban planners. Therefore, it is worth to identify spatial distribution pattern of built-up area in a town. Remote Sensing (RS) and Geographical Information System (GIS) provide a great potential for urban data collection & spatial analysis and not much academic literature exists on how to best utilize these technologies for urban studies. Traditional approaches to data collection and analysis no longer adequate to provide updated information for urban planners. This book, therefore, introduces alternative techniques for data collection, updating, detection of built-up area change and unauthorised constructions, identifying urban spatial distribution pattern considering built-up area density. New GIS spatial analysis techniques such as weighted mean centre and spatial autocorrelation tools introduced. These analysis techniques should help to shed light on the field of urban planning, and should be especially useful to students and professionals in urban planning or anyone else who may be considering utilizing RS and GIS for urban spatial structure analysis.

About the Author

K.A.M.Perera, MBCS,CITP(U.K.), PGDip. (Geoinformatics): Studied RS at IIRS, India & AIT, Geoinformatics at Univ. of Colombo, Sri Lanka. Database Administrator at Urban Development Authority, Sri Lanka.Lasantha Manawadu, BA, MSc: Studied Geography at Univ. of Colombo and GIS at AIT, Thailand. Senior Lecturer, Dept. of Geography, Univ. of Colombo.