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

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Spatial Modeling in GIS and R for Earth and Environmental Sciences (Paperback) Loot Price: R4,001
Discovery Miles 40 010
Spatial Modeling in GIS and R for Earth and Environmental Sciences (Paperback): Hamid Reza Pourghasemi, Candan Gokceoglu

Spatial Modeling in GIS and R for Earth and Environmental Sciences (Paperback)

Hamid Reza Pourghasemi, Candan Gokceoglu

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Loot Price R4,001 Discovery Miles 40 010 | Repayment Terms: R375 pm x 12*

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Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling.

General

Imprint: Elsevier Science Publishing Co Inc
Country of origin: United States
Release date: 2019
First published: 2019
Editors: Hamid Reza Pourghasemi • Candan Gokceoglu
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 798
ISBN-13: 978-0-12-815226-3
Categories: Books > Earth & environment > Earth sciences > General
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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LSN: 0-12-815226-5
Barcode: 9780128152263

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