Mapping non - wood forest product, matsutake mushrooms, using logistic regression and a GIS expert system

X.F. Yang; A.K. Skidmore; David R. Melick; Z. Zhou; Jianchu Xu

doi:10.1016/j.ecolmodel.2006.04.011

Mapping non - wood forest product, matsutake mushrooms, using logistic regression and a GIS expert system

X.F. Yang, A.K. Skidmore, David R. Melick, Z. Zhou, Jianchu Xu

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	208-218
Journal	Ecological modelling
Volume	198
Issue number	1-2-2017
DOIs	https://doi.org/10.1016/j.ecolmodel.2006.04.011
Publication status	Published - 2006

Keywords

ADLIB-ART-2517
NRS
ITC-ISI-JOURNAL-ARTICLE

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10.1016/j.ecolmodel.2006.04.011

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@article{62d1f76bf777472fa7cb653224854f67,

title = "Mapping non - wood forest product, matsutake mushrooms, using logistic regression and a GIS expert system",

keywords = "ADLIB-ART-2517, NRS, ITC-ISI-JOURNAL-ARTICLE",

author = "X.F. Yang and A.K. Skidmore and Melick, {David R.} and Z. Zhou and Jianchu Xu",

year = "2006",

doi = "10.1016/j.ecolmodel.2006.04.011",

language = "English",

volume = "198",

pages = "208--218",

journal = "Ecological modelling",

issn = "0304-3800",

publisher = "Elsevier",

number = "1-2-2017",

}

TY - JOUR

T1 - Mapping non - wood forest product, matsutake mushrooms, using logistic regression and a GIS expert system

AU - Yang, X.F.

AU - Skidmore, A.K.

AU - Melick, David R.

AU - Zhou, Z.

AU - Xu, Jianchu

PY - 2006

Y1 - 2006

KW - ADLIB-ART-2517

KW - NRS

KW - ITC-ISI-JOURNAL-ARTICLE

UR - https://ezproxy2.utwente.nl/login?url=http://dx.doi.org/10.1016/j.ecolmodel.2006.04.011

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2006/isi/skidmore_map.pdf

U2 - 10.1016/j.ecolmodel.2006.04.011

DO - 10.1016/j.ecolmodel.2006.04.011

M3 - Article

VL - 198

SP - 208

EP - 218

JO - Ecological modelling

JF - Ecological modelling

SN - 0304-3800

IS - 1-2-2017

ER -

Mapping non - wood forest product, matsutake mushrooms, using logistic regression and a GIS expert system

Keywords

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