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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... [12]
中国科学院大学 [2]
烟台海岸带研究所 [2]
新疆生态与地理研究所 [1]
遥感与数字地球研究所 [1]
国家天文台 [1]
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OAI收割 [17]
iSwitch采集 [2]
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期刊论文 [18]
SCI/SSCI论文 [1]
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2024 [2]
2023 [1]
2022 [2]
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2020 [3]
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Physical G... [1]
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Influence of vegetation phenological carryover effects on plant autumn phenology under climate change
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2024, 卷号: 359, 页码: 110284
作者:
Yuan, Huanhuan
;
Yan, Jiabao
;
Liu, Ying
;
Peng, Jie
;
Wang, Xiaoyue
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/20
Autumn phenology
Climate change
Phenological carryover effects
Multisource remote sensing
Variable importance in projection
Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 21, 页码: 3939
作者:
Zhang, Mo
;
Ge, Yong
;
Wang, Jianghao
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/20
spatial prediction
machine learning
random forest
variable importance
digital soil mapping
Understanding and extending the geographical detector model under a linear regression framework
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 页码: 17
作者:
Zhang, Hang
;
Dong, Guanpeng
;
Wang, Jinfeng
;
Zhang, Tong-Lin
;
Meng, Xiaoyu
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/10/30
Spatial autocorrelation
geographical detector model
variable importance decomposition
The legacy effect of microplastics on aquatic animals in the depuration phase: Kinetic characteristics and recovery potential
期刊论文
OAI收割
ENVIRONMENT INTERNATIONAL, 2022, 卷号: 168, 页码: 10
作者:
Sun, Tao
;
Ji, Chenglong
;
Li, Fei
;
Shan, Xiujuan
;
Wu, Huifeng
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2022/11/07
Microplastics
Depuration
Retention time
Variable importance
Recovery
The legacy effect of microplastics on aquatic animals in the depuration phase: Kinetic characteristics and recovery potential
期刊论文
OAI收割
ENVIRONMENT INTERNATIONAL, 2022, 卷号: 168, 页码: 10
作者:
Sun, Tao
;
Ji, Chenglong
;
Li, Fei
;
Shan, Xiujuan
;
Wu, Huifeng
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/15
Microplastics
Depuration
Retention time
Variable importance
Recovery
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 308, 页码: 12
作者:
Li, Linchao
;
Wang, Bin
;
Feng, Puyu
;
Wang, Huanhuan
;
He, Qinsi
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2021/11/05
Crop yield forecast
Climate extremes
Remote sensing
Random forest
Lead time
Variable importance
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 308, 页码: 12
作者:
Li, Linchao
;
Wang, Bin
;
Feng, Puyu
;
Wang, Huanhuan
;
He, Qinsi
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/11/05
Crop yield forecast
Climate extremes
Remote sensing
Random forest
Lead time
Variable importance
Using multiple linear regression and random forests to identify spatial poverty determinants in rural China
期刊论文
OAI收割
SPATIAL STATISTICS, 2021, 卷号: 42, 页码: 19
作者:
Liu, Mengxiao
;
Hu, Shan
;
Ge, Yong
;
Heuvelink, Gerard B. M.
;
Ren, Zhoupeng
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/06/10
Poverty
Spatial
Determinants
LMG
Random forest
Variable importance
Using multiple linear regression and random forests to identify spatial poverty determinants in rural China
期刊论文
OAI收割
SPATIAL STATISTICS, 2021, 卷号: 42, 页码: 19
作者:
Liu, Mengxiao
;
Hu, Shan
;
Ge, Yong
;
Heuvelink, Gerard B. M.
;
Ren, Zhoupeng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/06/10
Poverty
Spatial
Determinants
LMG
Random forest
Variable importance
Roles of horizontal and vertical tree canopy structure in mitigating daytime and nighttime urban heat island effects
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 89, 页码: 11
作者:
Chen, Jike
;
Jin, Shuangen
;
Du, Peijun
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/12/06
Land surface temperature
Urban tree canopy
Vertical structure
Landscape pattern
Variable importance