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Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China

Overview of attention for article published in Stochastic Environmental Research and Risk Assessment, July 2015
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Title
Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China
Published in
Stochastic Environmental Research and Risk Assessment, July 2015
DOI 10.1007/s00477-015-1128-z
Authors

Yongjiu Feng, Yan Liu, Michael Batty

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Ghana 1 <1%
Unknown 137 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Student > Master 24 17%
Researcher 10 7%
Student > Bachelor 8 6%
Lecturer 7 5%
Other 21 15%
Unknown 35 25%
Readers by discipline Count As %
Earth and Planetary Sciences 29 21%
Environmental Science 18 13%
Engineering 17 12%
Computer Science 11 8%
Social Sciences 7 5%
Other 13 9%
Unknown 44 32%