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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [14]
新疆生态与地理研究所 [4]
成都山地灾害与环境研... [1]
新疆理化技术研究所 [1]
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OAI收割 [20]
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期刊论文 [18]
SCI/SSCI论文 [1]
学位论文 [1]
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2025 [4]
2024 [8]
2023 [2]
2017 [1]
2013 [3]
2010 [1]
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学科主题
生物学::植物学::... [2]
水土保持与荒漠化防治 [1]
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Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning
期刊论文
OAI收割
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 卷号: 114, 页码: 107897
作者:
Xu, Gang
;
Liu, Haimeng
;
Jia, Chunwang
;
Zhou, Tianyu
;
Shang, Jing
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2025/04/21
Public environmental concern
Air quality
Environmental perception
Machine learning
XGBoost-SHAP
Environmental assessment
Environmental governance
Spatiotemporal variations of private e-bike trips with explainable data-driven technologies
期刊论文
OAI收割
CITIES, 2025, 卷号: 158, 页码: 105712
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Zhang, Beibei
;
Cheng, Shifen
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2025/03/18
Private e -bike trips
Trip patterns
Spatiotemporal variations
Driving mechanisms
Spatiotemporal random forest
Improved SHAP
Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2025, 卷号: 15, 期号: 3, 页码: 22
作者:
Li, Mengyuan
;
Tian, Hongling
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/03/24
landslide susceptibility mapping
landslide susceptibility prediction
machine learning
non-landslide sampling strategy
SHAP
Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods
期刊论文
OAI收割
LAND, 2025, 卷号: 14, 期号: 2, 页码: 386
作者:
Zhang, Zuopei
;
Hu, Yunfeng
;
Batunacun
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2025/04/21
machine learning
grassland degradation
driving factors
SHAP method
climate change
Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 卷号: 13, 期号: 12, 页码: 426
作者:
Cui, Chenxi
;
Hu, Yunfeng
;
Bao, Yuhai
;
Li, Hao
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2025/02/24
Inner Mongolia
population density
machine learning
SHAP
Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
期刊论文
OAI收割
CITIES, 2024, 卷号: 155, 页码: 105493
作者:
Chen, Liangkan
;
Chen, Mingxing
;
Fan, Chao
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/01/17
Commuting distance
Age disparity
Mobile signaling data
XGBoost
SHAP
Beijing
Spatial patterns and mechanism of the impact of soil salinity on potentially toxic elements in coastal areas
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 951, 页码: 175802
作者:
Zhou, Mengge
;
Li, Yonghua
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/10/21
Soil salinity
Soil PTEs
CatBoost-SHAP
MGWR
Pb
Spatiotemporal change of PM2.5 concentration in Beijing-Tianjin-Hebei and its prediction based on machine learning
期刊论文
OAI收割
URBAN CLIMATE, 2024, 卷号: 58, 页码: 102167
作者:
Liu, Nanjian
;
Hao, Zhixin
;
Zhao, Peng
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/11/19
Machine learning
SHAP
Driving factors
Topographical regulation
Accurate prediction of spatial distribution of soil potentially toxic elements using machine learning and associated key influencing factors identification: A case study in mining and smelting area in southwestern China
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 478, 页码: 135454
作者:
Li, Kai
;
Guo, Guanghui
;
Zhang, Degang
;
Lei, Mei
;
Wang, Yingying
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/09/19
Potentially toxic elements
Machine learning
Predictive accuracy
SHAP analysis
Relative importance analysis
Optimizing cropland use to reduce groundwater arsenic hazards in a naturally arsenic-enriched grain-producing region
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 368, 页码: 122237
作者:
Yin, Shuhui
;
Yang, Linsheng
;
Yu, Jiangping
;
Ban, Ruxin
;
Wen, Qiqian
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/10/21
Cropland use
Groundwater As
RF classification
SHAP