Using spatiotemporal analysis in urban sprawl assessment and prediction

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Serval ID
serval:BIB_135F6E8DC9FC
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
Production externe
Title
Using spatiotemporal analysis in urban sprawl assessment and prediction
Title of the book
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Author(s)
Amato Federico, Pontrandolfi Piergiuseppe, Murgante Beniamino
Publisher
Springer Verlag
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Language
english
DOI
10.1007/978-3-319-09129-7_55
Publisher's website
http://www.scopus.com/inward/record.url?eid=2-s2.0-84904865663&partnerID=MN8TOARS
Create date
22/02/2019 16:24
Last modification date
20/08/2019 13:41
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