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Preferences for forest proximity and recreational amenities revealed by the random bidding model 期刊论文
LANDSCAPE AND URBAN PLANNING, 2019, 189: 181-188
作者:  Tuffery, Laetitia
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/27
Forest proximity  Recreational amenity  Random bidding model  Heterogeneous preference  
Integration in the European electricity market: A machine learning-based convergence analysis for the Central Western Europe region 期刊论文
ENERGY POLICY, 2019, 132: 549-566
作者:  Saez, Yago;  Mochon, Asuncion;  Corona, Luis;  Isasi, Pedro
收藏  |  浏览/下载：12/0  |  提交时间：2019/11/27
European electricity market  CWE region  Flow-based market coupling  Random forest  Machine learning  Decision trees  
Beyond the park and city dichotomy: Land use and land cover change in the northern coast of Sao Paulo (Brazil) 期刊论文
LANDSCAPE AND URBAN PLANNING, 2019, 189: 352-361
作者:  Pierri Daunt, Ana Beatriz;  Freire Silva, Thiago Sanna
收藏  |  浏览/下载：1/0  |  提交时间：2019/11/27
Do forest property characteristics reveal landowners' willingness to accept payments for ecosystem services contracts in southeast Georgia, US? 期刊论文
ECOLOGICAL ECONOMICS, 2019, 161: 144-152
作者:  Kang, Moon Jeong;  Siry, Jacek P.;  Colson, Gregory;  Ferreira, Susana
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/27
Choice experiment  Forest types  Ownership objectives  Revealed preference  Family forest owners  
Machine learning to analyze the social-ecological impacts of natural resource policy: insights from community forest management in the Indian Himalaya 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (2)
作者:  Rana, Pushpendra;  Miller, Daniel C.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
forest policy  community forest management  forest livelihoods  deforestation  machine learning  impact evaluation  
Tree Shade, Temperature, and Human Health: Evidence from Invasive Species-induced Deforestation 期刊论文
ECOLOGICAL ECONOMICS, 2019, 156: 12-23
作者:  Jones, Benjamin A.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Temperature  Tree shade  Mortality and morbidity  Emerald ash borer  Bioeconomic models  
Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 632-655
作者:  Yan, Jiabao;  Jia, Shaofeng;  Lv, Aifeng;  Zhu, Wenbin
收藏  |  浏览/下载：13/0  |  提交时间：2019/04/09
water resources  runoff coefficient  machine learning  transboundary river  China