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Citizen Empowered Mapping (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R2,549
Discovery Miles 25 490
You Save: R201 (7%)
Citizen Empowered Mapping (Paperback, Softcover reprint of the original 1st ed. 2017): Michael Leitner, Jamal Jokar Arsanjani

Citizen Empowered Mapping (Paperback, Softcover reprint of the original 1st ed. 2017)

Michael Leitner, Jamal Jokar Arsanjani

Series: Geotechnologies and the Environment, 18

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List price R2,750 Loot Price R2,549 Discovery Miles 25 490 | Repayment Terms: R239 pm x 12* You Save R201 (7%)

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This book promotes the exploitation of novel and emerging approaches for mapping environmental and urban informatics empowered by citizens. Chapters are grouped in three sections representing the main subjects. The first section describes data acquisition and modeling. The second section focuses on the quality and reliability of data. The final section presents different methods of environmental monitoring and perception. The book includes diverse case studies from Mexico, the United States and Czech Republic. Topics covered in Citizen Empowered Mapping are of interest for research scholars, practitioners, postgraduates, and professionals from a variety of disciplines including geography, environmental science, geographic information science, social science, and computer science.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Geotechnologies and the Environment, 18
Release date: August 2018
First published: 2017
Editors: Michael Leitner • Jamal Jokar Arsanjani
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 300
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-3-319-84704-7
Categories: Books > Earth & environment > Earth sciences > General
Books > Computing & IT > Computer communications & networking > 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: 3-319-84704-X
Barcode: 9783319847047

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