Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species.
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%0 Journal Article
%1 journals/ecoi/ZhangHLSYZM19
%A Zhang, Lei
%A Huettmann, Falk
%A Liu, Shirong
%A Sun, Pengsen
%A Yu, Zhen
%A Zhang, Xudong
%A Mi, Chunrong
%D 2019
%J Ecol. Informatics
%K dblp
%P 46-56
%T Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species.
%U http://dblp.uni-trier.de/db/journals/ecoi/ecoi52.html#ZhangHLSYZM19
%V 52
@article{journals/ecoi/ZhangHLSYZM19,
added-at = {2023-08-28T00:00:00.000+0200},
author = {Zhang, Lei and Huettmann, Falk and Liu, Shirong and Sun, Pengsen and Yu, Zhen and Zhang, Xudong and Mi, Chunrong},
biburl = {https://www.bibsonomy.org/bibtex/20e45520baf1314eafc5b233af57b5117/dblp},
ee = {https://www.wikidata.org/entity/Q114188902},
interhash = {00b5898166931f0f2bfafa2e61f40c7f},
intrahash = {0e45520baf1314eafc5b233af57b5117},
journal = {Ecol. Informatics},
keywords = {dblp},
pages = {46-56},
timestamp = {2024-04-09T03:32:04.000+0200},
title = {Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species.},
url = {http://dblp.uni-trier.de/db/journals/ecoi/ecoi52.html#ZhangHLSYZM19},
volume = 52,
year = 2019
}