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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
收藏
  |  
浏览/下载:43/0
  |  
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
Investigating the compounding effects of environmental factors on ecosystem services relationships for Ecological Conservation Red Line areas
期刊论文
LAND DEGRADATION & DEVELOPMENT, 2021, 页码: 15
作者:
Zuo, Liyuan
;
Gao, Jiangbo
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  |  
浏览/下载:47/0
  |  
提交时间:2021/11/05
Beijing
ecological conservation red line
ecosystem services
quantitative attribution
trade-offs and synergies
Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi-A Case Study of Shenzhen
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 7, 页码: 18
作者:
He, Bing
;
Liu, Kang
;
Xue, Zhe
;
Liu, Jiajun
;
Yuan, Diping
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/11/05
tourist flow
spatial-temporal dynamic
taxi trajectory data
spatial structure
Shenzhen
The varying effects of accessing high-speed rail system on China's county development: A geographically weighted panel regression analysis
期刊论文
LAND USE POLICY, 2021, 卷号: 100, 页码: 11
作者:
Yu Danlin
;
Zhang Yaojun
;
Wu Xiwei
;
Li Ding
;
Li Guangdong
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/03/15
High-speed rail
County level analysis
Geographically weighted panel regression
Spatial analysis
China
Environmental determinants impacting the spatial heterogeneity of karst ecosystem services in Southwest China
期刊论文
LAND DEGRADATION & DEVELOPMENT, 2020, 页码: 14
作者:
Gao, Jiangbo
;
Zuo, Liyuan
;
Liu, Wanlu
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  |  
浏览/下载:44/0
  |  
提交时间:2021/03/15
environmental determinants
karst ecosystem services
quantitative attribution
regional differentiation
spatial heterogeneity
The varying driving forces of PM2.5 concentrations in Chinese cities: Insights from a geographically and temporally weighted regression model
期刊论文
ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 10
作者:
Liu, Qianqian
;
Wu, Rong
;
Zhang, Wenzhong
;
Li, Wan
;
Wang, Shaojian
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/03/16
PM2.5 concentrations
Geographically and temporally weighted regression
Natural conditions
Socioeconomic determinants
Spatial heterogeneity
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during COVID-19
期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 卷号: 17, 期号: 20, 页码: 19
作者:
He, Hongbin
;
Shen, Yonglin
;
Jiang, Changmin
;
Li, Tianqi
;
Guo, Mingqiang
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  |  
浏览/下载:19/0
  |  
提交时间:2021/03/16
spatiotemporal big data
empirical orthogonal function (EOF)
geographic weighted regression (GWR)
population distribution
COVID-19
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data
期刊论文
GISCIENCE & REMOTE SENSING, 2020, 页码: 17
作者:
Song, Yongze
;
Wang, Jinfeng
;
Ge, Yong
;
Xu, Chengdong
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2021/03/23
GIS
spatial analysis
geographical detector
spatial stratified heterogeneity
spatial factors exploration
R package GD
Spatial Relationships of Water Resources with Energy Consumption at Coal Mining Operations in China
期刊论文
MINE WATER AND THE ENVIRONMENT, 2020, 页码: 9
作者:
Lin, Gang
;
Jiang, Dong
;
Fu, Jingying
;
Dong, Donglin
;
Sun, Wenjie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/05/19
Water use
Sustainable energy and water
GWR model
Big geodata mining: Objective, connotations and research issues
期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 2, 页码: 251-266
作者:
Pei, Tao
;
Song, Ci
;
Guo, Sihui
;
Shu, Hua
;
Liu, Yaxi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/05/19
big earth observation data
big human behavior data
geographical spatiotemporal pattern
spatio-temporal heterogeneity
knowledge discovery
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