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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所 [6]
成都山地灾害与环境研... [1]
烟台海岸带研究所 [1]
采集方式
OAI收割 [8]
内容类型
期刊论文 [8]
发表日期
2024 [1]
2020 [2]
2019 [3]
2002 [2]
学科主题
Environmen... [2]
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浏览/检索结果:
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Fine-scale population mapping on Tibetan Plateau using the ensemble machine learning methods and multisource data
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 166, 页码: 13
作者:
Zhang, Huiming
;
Fu, Jingqiao
;
Li, Feixiang
;
Chen, Qian
;
Ye, Tao
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/10/08
Population spatialization
Ensemble model
Nighttime light
Tibetan Plateau
Location -based services data
基于多源数据的中国海岸带地区人口空间化模拟
期刊论文
OAI收割
地球信息科学学报, 2020, 卷号: 22, 期号: 2, 页码: 207-217
作者:
杜培培
;
侯西勇
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2020/07/08
人口
阈值
动态分区
空间化
人居指数
海岸带
中国
Population
Threshold
Dynamic Partitioning
Spatialization
Human Settlements Index
Coastal Zone
China
基于多源数据融合的北京市人口时空动态分析
期刊论文
OAI收割
地球信息科学学报, 2020, 卷号: 22, 期号: 11, 页码: 2199
作者:
崔晓临
;
张佳蓓
;
吴锋
;
张倩
;
吴尧慧
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/15
population spatialization
grid scale
spatio-temporal dynamics
multi-source data
nighttime light
spatial analysis
population redistribution
Beijing
人口空间化
格网尺度
时空动态
多源数据
夜间灯光
空间分析
人口疏解
北京市
A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 11, 页码: 19
作者:
Xiong, Junnan
;
Li, Kun
;
Cheng, Weiming
;
Ye, Chongchong
;
Zhang, Hao
  |  
收藏
  |  
浏览/下载:124/0
  |  
提交时间:2020/05/19
population spatialization
spatial stationarity
geographically weighted regression
DMSP/OLS
land use
A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 11, 页码: 19
作者:
Xiong, Junnan
;
Li, Kun
;
Cheng, Weiming
;
Ye, Chongchong
;
Zhang, Hao
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/05/19
population spatialization
spatial stationarity
geographically weighted regression
DMSP/OLS
land use
A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 11, 页码: 495
作者:
Xiong Junnan
;
Li Kun
;
Cheng Weiming
;
Ye Chongchong
;
Zhang Hao
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2020/02/28
population spatialization
spatial stationarity
geographically weighted regression
DMSP/OLS
land use
SPATIALIZATION MODEL OF POPULATION BASED ON DATASET OF LAND USE AND LAND COVER CHANGE IN CHINA
期刊论文
OAI收割
The spatialization of population of counties in China is significant. Firstly, we can gain the estimated values of population density adaptive to different kinds of regions. Secondly, we can integrate effectively population data with other data including natural resources, environment, society and economy, build I km GRIDs of natural resources reserves per person, population density and other economic and environmental data, which are necessary to the national management and macro adjustment and control of natural resources and dynamic monitoring of population. In order to establish population information system serving national decision-making, three steps ought to be followed: 1) establishing complete geographical spatial data foundation infrastructure including the establishment of electric map of residence with high resolution using topographical map with large scale and high resolution satellite remote sensing data, the determination of attribute information of housing and office buildings, and creating complete set of attribute database and rapid data updating; 2) establishing complete census systems including improving the transformation efficiency from census data to digital database and strengthening the link of census database and geographical spatial database, meanwhile, the government should attach great importance to the establishment and integration of population migration database; 3) considering there is no GIS software specially serving the analysis and management of population data, a practical approach is to add special modules to present software system, which works as a bridge actualizing the digitization and spatialization of population geography research., 2002, 卷号: 12, 期号: 2, 页码: 114-119
作者:
Deng Xiang-zheng
收藏
  |  
浏览/下载:283/81
  |  
提交时间:2011/06/10
spatialization models
population models
LUCC dataset
population spatialization
Deqing County
SPATIALIZATION MODEL OF POPULATION BASED ON DATASET OF LAND USE AND LAND COVER CHANGE IN CHINA
期刊论文
OAI收割
CHINESE GEOGRAPHICAL SCIENCE, 2002, 卷号: 12, 期号: 2, 页码: 114-119
作者:
Zhuang Da-fang(庄大方)
;
Liu Ming-liang
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2011/06/10
Spatialization Models
Population Models
Lucc Dataset
Population Spatialization
Deqing County