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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing

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Quantitative Methods and Applications in GIS (Hardcover) Loot Price: R914 Discovery Miles 9 140 You Save: R225 (20%)
Quantitative Methods and Applications in GIS (Hardcover): Fahui Wang
Quantitative Methods and Applications in GIS (Hardcover): Fahui Wang

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Quantitative Methods and Applications in GIS (Hardcover)

Fahui Wang

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List price R1,139 Loot Price R914 Discovery Miles 9 140 You Save R225 (20%)

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Quantitative Methods and Applications in GIS integrates GIS, spatial analysis, and quantitative methods to address various issues in socioeconomic studies and public policy. Methods range from basic regression analysis to advanced topics such as linear programming and system of equations. Applications vary from typical themes in urban and regional analysis - trade area analysis, accessibility measures, analysis of regional growth patterns, land use simulation - to issues related to crime and health analyses. The book covers common tasks such as distance and travel time estimation, spatial smoothing and interpolation, and accessibility measures. It also covers the major issues that are encountered in spatial analysis including modifiable areal unit problems, rate estimate of rare events in small populations, and spatial autocorrelation. Each chapter has one subject theme, introduces the method (or a group of related methods) most relevant to the theme, and then uses case studies to implement the method in a GIS environment.

General

Imprint: Crc Press
Country of origin: United States
Release date: April 2006
First published: April 2006
Authors: Fahui Wang
Dimensions: 234 x 156 x 21mm (L x W x T)
Format: Hardcover - Unsewn / adhesive bound
Pages: 304
ISBN-13: 978-0-8493-2795-7
Barcode: 9780849327957
Categories: Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN: 0-8493-2795-4

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