Identification and apportionment of the drivers of land use change on a regional scale: Unbiased recursive partitioning-based stochastic model application

Agriculture, Ecosystems and Environment

Volumn 217, Issue , 2016, Pages 99-110

  Wang, Qi ^a   Ren, Qingfu ^b,c   Liu, Jianfeng ^d  

^a GUANGDONG INSTITUTE OF ECO ENVIRONMENTAL AND SOIL SCIENCES   (China)

^b BEIJING FORESTRY UNIVERSITY   (China)

^c CHINA INSTITUTE OF WATER RESOURCES AND HYDROPOWER RESEARCH   (China)

^d RESEARCH INSTITUTE OF FORESTRY   (China)

Author keywords

Conditional inference tree; Driver; Land use change; Random forest; Regional scale; Stochastic model

Indexed keywords

AGRICULTURAL LAND; ENVIRONMENTAL ASSESSMENT; GIS; LAND USE CHANGE; MACHINE LEARNING; QUANTITATIVE ANALYSIS; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY; TELECOMMUNICATION; URBAN AREA;

CHINA; JIANGXI;

EID: 84947070909     PISSN: 01678809     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agee.2015.11.004     Document Type: Article

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