机构

• 地理科学与资源研究所 [4]
• 生态环境研究中心 [1]
• 地球环境研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [4]
• SCI/SSCI论文 [2]

发表日期

• 2020 [2]
• 2016 [1]
• 2015 [2]
• 2014 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 721, 页码: 11 作者:  Wang, Shuai;  Adhikari, Kabindra;  Zhuang, Qianlai;  Gu, Hanlong;  Jin, Xinxin   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/03/23 Urbanization  Soil organic carbon stocks  Spatial variability  Auxiliary variables  Random forest   Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 721, 页码: 11 作者:  Wang, Shuai;  Adhikari, Kabindra;  Zhuang, Qianlai;  Gu, Hanlong;  Jin, Xinxin   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/03/23 Urbanization  Soil organic carbon stocks  Spatial variability  Auxiliary variables  Random forest   Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method SCI/SSCI论文  OAI收割 2016 作者:  Zeng C. Y.;  Yang, L.;  Zhu, A. X.;  Rossiter, D. G.;  Liu, J. 收藏  |  浏览/下载：62/0  |  提交时间：2016/12/16 Mixed geographically weighted regression (MGWR)  Geographically weighted  regression (GWR)  Multiple linear regression (MLR)  Soil organic matter  concentration (SOM)  multiple-linear-regression  spatial prediction  auxiliary information  carbon  variables  patterns  region  model  catchment  australia   Mapping soil organic carbon using auxiliary environmental covariates in a typical watershed in the Loess Plateau of China: a comparative study based on three kriging methods and a soil land inference model (SoLIM) 期刊论文  OAI收割 ENVIRONMENTAL EARTH SCIENCES, 2015, 卷号: 73, 期号: 1, 页码: 239-251 作者:  Wen, Wen;  Wang, Yafeng;  Yang, Lin;  Liang, Di;  Chen, Liding 收藏  |  浏览/下载：16/0  |  提交时间：2016/03/03 Spatial interpolation method  Soil organic carbon  Auxiliary environmental variables  The Loess Plateau regions   Mapping soil organic carbon using auxiliary environmental covariates in a typical watershed in the Loess Plateau of China: a comparative study based on three kriging methods and a soil land inference model (SoLIM) SCI/SSCI论文  OAI收割 2015 作者:  Wen W.;  Wang, Y. F.;  Yang, L.;  Liang, D.;  Chen, L. D.   |  收藏  |  浏览/下载：18/0  |  提交时间：2017/11/09 Spatial interpolation method  Soil organic carbon  Auxiliary  environmental variables  The Loess Plateau regions  reflectance spectroscopy  interpolation methods  southwestern china  spatial prediction  moisture  erosion  patterns  scale  maps  productivity   Mapping soil organic carbon using auxiliary environmentalcovariates in a typical watershed in the Loess Plateau of China:a comparative study based on three kriging methods and a soilland inference model (SoLIM) 期刊论文  OAI收割 Environ Earth Sci, 2014, 卷号: 73, 期号: 2015, 页码: 239-251 作者:  Liu,J(Liu,Jing)[6];  Zhu,AX(Zhu,Axing)[4,6,7];  Wen,W(Wen,Wen)[1,2];  Wang,YF(Wang,Yafeng)[1,3];  Yang,L(Yang,Lin)[4]   |  收藏  |  浏览/下载：32/0  |  提交时间：2018/11/13 Spatial Interpolation Method  Soil Organiccarbon  Auxiliary Environmental Variables  The Loessplateau Regions