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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... [11]
采集方式
OAI收割 [11]
内容类型
期刊论文 [11]
发表日期
2024 [1]
2022 [2]
2020 [2]
2019 [3]
2018 [3]
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The spatio-temporal evolution and transformation mode of human settlement quality from the perspective of "production-living-ecological" spaces--a case study of Jilin Province
期刊论文
OAI收割
HABITAT INTERNATIONAL, 2024, 卷号: 145, 页码: 18
作者:
Qin, Yujia
;
Wang, Lingzhi
;
Yu, Ming
;
Meng, Xiaowan
;
Fan, Yeting
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2024/04/29
Human settlement quality
Production -living -ecological spaces
Spatial -temporal evolution
Transformation mode
Jilin province
The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province
期刊论文
OAI收割
LAND, 2022, 卷号: 11, 期号: 11, 页码: 16
作者:
Li, Xinyao
;
Wang, Lingzhi
;
Pijanowski, Bryan
;
Pan, Lingpeng
;
Omrani, Hichem
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2023/01/09
recessive cultivated land use transition
spatio-temporal pattern
point mutations detection
transition mode
Huaibei region of Jiangsu Province
The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province
期刊论文
OAI收割
LAND, 2022, 卷号: 11, 期号: 11, 页码: 16
作者:
Li, Xinyao
;
Wang, Lingzhi
;
Pijanowski, Bryan
;
Pan, Lingpeng
;
Omrani, Hichem
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2023/01/09
recessive cultivated land use transition
spatio-temporal pattern
point mutations detection
transition mode
Huaibei region of Jiangsu Province
Analysis on residential density dynamics in USA-a case study in southeast Wisconsin
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2020, 卷号: 52, 页码: 16
作者:
Wang, Lingzhi
;
Wei, Ye
;
Omrani, Hichem
;
Pijanowski, Bryan
;
Doucette, Jarrod
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/05/19
Residential density dynamics
Livability of city
Binary logistic regression
Stepwise linear regression
Southeastern Wisconsin
Analysis on residential density dynamics in USA-a case study in southeast Wisconsin
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2020, 卷号: 52, 页码: 16
作者:
Wang, Lingzhi
;
Wei, Ye
;
Omrani, Hichem
;
Pijanowski, Bryan
;
Doucette, Jarrod
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/05/19
Residential density dynamics
Livability of city
Binary logistic regression
Stepwise linear regression
Southeastern Wisconsin
Analysis on urban densification dynamics and future modes in southeastern Wisconsin, USA
期刊论文
OAI收割
PLOS ONE, 2019, 卷号: 14, 期号: 3, 页码: 22
作者:
Wang, Lingzhi
;
Omrani, Hichem
;
Zhao, Zhao
;
Francomano, Dante
;
Li, Ke
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/05/22
Analysis on urban densification dynamics and future modes in southeastern Wisconsin, USA
期刊论文
OAI收割
PLOS ONE, 2019, 卷号: 14, 期号: 3, 页码: 22
作者:
Wang, Lingzhi
;
Omrani, Hichem
;
Zhao, Zhao
;
Francomano, Dante
;
Li, Ke
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/05/22
Analysis on urban densification dynamics and future modes in southeastern Wisconsin, USA
期刊论文
OAI收割
PLOS ONE, 2019, 卷号: 14, 期号: 3, 页码: 22
作者:
Wang, Lingzhi
;
Omrani, Hichem
;
Zhao, Zhao
;
Francomano, Dante
;
Li, Ke
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/05/22
Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China
期刊论文
OAI收割
HABITAT INTERNATIONAL, 2018, 卷号: 82, 页码: 48-61
作者:
Wang, Lingzhi
;
Pijanowski, Bryan
;
Yang, Weishi
;
Zhai, Ruixue
;
Omrani, Hichem
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/05/23
Multiple land use transitions
Urbanization
Artificial neural networks
Land use management
Urban planning
China
Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China
期刊论文
OAI收割
HABITAT INTERNATIONAL, 2018, 卷号: 82, 页码: 48-61
作者:
Wang, Lingzhi
;
Pijanowski, Bryan
;
Yang, Weishi
;
Zhai, Ruixue
;
Omrani, Hichem
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2019/05/23
Multiple land use transitions
Urbanization
Artificial neural networks
Land use management
Urban planning
China