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Exploring global food security pattern from the perspective of spatio-temporal evolution 期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 2, 页码: 179-196
Authors:  Cai, Jianming;  Ma, Enpu;  Lin, Jing;  Liao, Liuwen;  Han, Yan
Favorite  |  View/Download:5/0  |  Submit date:2020/05/19
food security assessment  spatial pattern  changing characteristics  multi-nonlinear regression  influencing factors  
A multi-factor weighted regression approach for estimating the spatial distribution of soil organic carbon in grasslands 期刊论文
CATENA, 2019, 卷号: 174, 页码: 248-258
Authors:  Wang, SuiZi;  Fan, JiangWen;  Zhong, HuaPing;  Li, YuZhe;  Zhu, HuaZhong;  Qiao, YuXin;  Zhang, HaiYan
Favorite  |  View/Download:16/0  |  Submit date:2019/10/11
Soil organic carbon  Spatial distribution  Multi-factor weighted regression model  Soil layer  Grasslands  
Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 650, 页码: 661-670
Authors:  Wang, Tianye;  Wu, Tonghua;  Wang, Ping;  Li, Ren;  Xie, Changwei;  Zou, Defu
Favorite  |  View/Download:13/0  |  Submit date:2019/05/23
Permafrost distribution  Permafrost changes  Qinghai-Tibet Plateau  Logistic regression model  Multi-criteria analysis  
Improvements to the calibration of a geographically weighted regression with parameter-specific distance metrics and bandwidths 期刊论文
Authors:  Lu, Binbin;  Yang, Wenbai;  Ge, Yong;  Harris, Paul
Favorite  |  View/Download:13/0  |  Submit date:2019/05/23
Local regression  Spatial heterogeneity  Bandwidth selection  Multi-scale  GWmodel  
Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014 期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 卷号: 27, 期号: 6, 页码: 661-680
Authors:  Chen Xuejuan;  Mo Xingguo;  Hu Shi;  Liu Suxia
Favorite  |  View/Download:6/0  |  Submit date:2019/09/25
evapotranspiration  gross primary production  contribution  process-based model  multi-regression  North China Plain  
Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China SCI/SSCI论文
Authors:  Jiang Y.;  Liu C. M.;  Zheng H. X.;  Li X. Y.;  Wu X. N.
Favorite  |  View/Download:126/6  |  Submit date:2012/06/08
River Runoff  Runoff Forecast  Nonlinear Mixed Regression Model  Linear  Multi-regression Model  Linear Mixed Regression Model  Bp Neural Network  Bone