Open AccessIdentifying core driving factors of urban land use change from global land cover products and POI data using the random forest method
Author(s) -
Hao Wu,
Anqi Lin,
Xudong Xing,
DanXia Song,
Yan Li
Publication year - 2021
Publication title -
international journal of applied earth observation and geoinformation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.623
H-Index - 98
eISSN - 1872-826X
pISSN - 1569-8432
DOI - 10.1016/j.jag.2021.102475
Subject(s) - urbanization , driving factors , land cover , land use , land use, land use change and forestry , geography , climate change , margin (machine learning) , urban planning , identification (biology) , environmental resource management , environmental science , physical geography , ecology , computer science , civil engineering , engineering , archaeology , china , biology , machine learning
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