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Identifying the key factors influencing spatial and temporal variations of regional coastal fishing activities
期刊论文
OCEAN & COASTAL MANAGEMENT, 2024, 卷号: 248, 页码: 11
作者:
Chen, Renli
;
Wang, Yueqi
;
Wu, Xiaoqing
;
Gao, Zhiqiang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/23
Coastal fishing activity
Marine environment
Marine policy
Influence factors
Automatic Identification System (AIS)
Ecosystem sensitivity and landscape vulnerability of debris flow waste-shoal land under development and utilization changes
期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 14
作者:
He, Songtang
;
Yang, Hongfei
;
Chen, Xiaoqing
;
Wang, Daojie
;
Lin, Yongming
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/19
Debris flow area
Land use change
Ecological sensitivity
Landscape vulnerability
Spatial autocorrelation
Identifying Key Factors Influencing Regional Fishing Footprints in Coastal Waters
期刊论文
SSRN, 2023
作者:
Chen, Renli
;
Wang, Yueqi
;
Wu, Xiaoqing
;
Gao, Zhiqiang
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  |  
浏览/下载:0/0
  |  
提交时间:2024/01/26
Automation
Environmental management
Environmental technology
Information management
Oceanography
Remote sensing
Surface temperature
Surface waters
Sustainable development
Spatiotemporal variations and driving factors of habitat quality in the loess hilly area of the Yellow River Basin: A case study of Lanzhou City, China
期刊论文
JOURNAL OF ARID LAND, 2022, 卷号: 14, 期号: 6, 页码: 637-652
作者:
Dong, Jianhong
;
Zhang, Zhibin
;
Liu, Benteng
;
Zhang, Xinhong
;
Zhang, Wenbin
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/19
Habitat quality
spatiotemporal variations
driving factors
InVEST-HQ model
Geodetector model
Lanzhou City
Yellow River Basin
China's surface urban heat island drivers and its spatial heterogeneity
期刊论文
Zhongguo Huanjing Kexue/China Environmental Science, 2022, 卷号: 42, 期号: 2, 页码: 945-953
作者:
Niu, Lu
;
Zhang, Zheng-Feng
;
Peng, Zhong
;
Jiang, Ya-Zhen
;
Liu, Meng
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  |  
浏览/下载:44/0
  |  
提交时间:2022/04/21
Atmospheric temperature
Land use
Landforms
Radiometers
Regression analysis
Remote sensing
Spatial distribution
Vegetation
Driver
Geographically weighted regression
Geographically Weighted Regression modelling
Moderate res-olution imaging spectrometers
Spatial heterogeneity
Surface urban heat islands
Thermal infrared remote sensing
Urban environments
Urban heat island
Urban heat island intensities
Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 8, 页码: 22
作者:
Zhao, Ruifang
;
Xie, Xiaolan
;
Zhang, Xun
;
Jin, Min
;
Hao, Mengmeng
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  |  
浏览/下载:17/0
  |  
提交时间:2021/11/05
assessment
terrorist attack types
I-MLKNN
multi-source factors
County-level estimates of population and economic scenarios under the shared socioeconomic pathways: A case study in Inner Mongolia, China
期刊论文
PHYSICS AND CHEMISTRY OF THE EARTH, 2021, 卷号: 122, 页码: 13
作者:
Bai, Yuping
;
Wang, Wenxuan
;
Hu, Yecui
;
Wang, Zehao
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  |  
浏览/下载:39/0
  |  
提交时间:2021/08/19
Population projection
GDP Projection
Shared socioeconomic pathways
County-level
Inner Mongolia
Spatiotemporal Features of Storm Surge Activity and Its Response to Climate Change in the Southeastern Coastal Area of China in the Past 60 years
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 卷号: 126, 期号: 4, 页码: 19
作者:
Ji, Tao
;
Li, Guosheng
;
Liu, Yangxiaoyue
;
Liu, Rui
;
Zhu, Yunqiang
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/06/10
ASPI
climate change
spatiotemporal features
storm surge
the southeastern coastal area of China
Spatiotemporal changes of land desertification sensitivity in northwest China from 2000 to 2017
期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 卷号: 31, 期号: 1, 页码: 46-68
作者:
Wei Wei
;
Guo Zecheng
;
Shi Peiji
;
Zhou Liang
;
Wang Xufeng
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/03/15
desertification sensitivity
spatiotemporal change
geographical detector
GIS
northwest China
Spatial Distribution of China's Industrial Output Values under Global Warming Scenarios RCP4.5 and RCP8.5
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 19
作者:
Xue, Qian
;
Song, Wei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/03/15
climate change
industrial output value
RCP4
5 and RCP8
5
machine learning
random forest algorithm
China
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