IGSNRR OpenIR

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method 期刊论文
GEODERMA, 2020, 卷号: 369, 页码: 15
Authors:  Yang, Lin;  Li, Xinming;  Shi, Jingjing;  Shen, Feixue;  Qi, Feng;  Gao, Binbo;  Chen, Ziyue;  Zhu, A-Xing;  Zhou, Chenghu
Favorite  |  View/Download:15/0  |  Submit date:2020/05/19
Conditioned Latin hypercube sampling  Soil mapping  Representativeness  Sample randomness  
A representativeness heuristic for mitigating spatial bias in existing soil samples for digital soil mapping 期刊论文
GEODERMA, 2019, 卷号: 351, 页码: 130-143
Authors:  Zhang, Guiming;  Zhu, A-Xing
Favorite  |  View/Download:28/0  |  Submit date:2019/09/24
Sample representativeness  Existing soil samples  Spatial bias  Digital soil mapping (DSM)  
A representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 33, 期号: 9, 页码: 1873-1893
Authors:  Zhang, Guiming;  Zhu, A-Xing
Favorite  |  View/Download:8/0  |  Submit date:2020/03/23
Volunteered geographic information (VGI)  spatial bias  sample representativeness  predictive mapping  habitat suitability mapping