Urban Spatial Structure Analysis | An Alternative Approach using Remote Sensing & GIS: A Case Study in Battaramulla, Sri Lanka

K. A. M. Perera (u. a.)

ISBN 10: 3846511366 / ISBN 13: 9783846511367

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Urban Spatial Structure Analysis | An Alternative Approach using Remote Sensing & GIS: A Case Study in Battaramulla, Sri Lanka | K. A. M. Perera (u. a.) | Taschenbuch | 88 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846511367 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 106770008

Bibliographic Details

• Title: Urban Spatial Structure Analysis | An Alternative Approach using Remote Sensing & GIS: A Case Study in Battaramulla, Sri Lanka
• Publisher: LAP LAMBERT Academic Publishing
• 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
• Seller catalogs:
  • Bücher

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.