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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... [55]
地质与地球物理研究所 [5]
成都山地灾害与环境研... [3]
计算技术研究所 [3]
长春光学精密机械与物... [2]
自动化研究所 [2]
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OAI收割 [79]
内容类型
期刊论文 [76]
项目 [3]
发表日期
2020 [79]
学科主题
Materials ... [1]
Science & ... [1]
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共79条,第1-10条
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发表日期:2020
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An Adaptive Cutoff Frequency Selection Approach for Fast Fourier Transform Method and Its Application into Short-Term Traffic Flow Forecasting
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 23
作者:
Wang, Runjie
;
Shi, Wenzhong
;
Liu, Xianglei
;
Li, Zhiyuan
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/09/29
sequential data assimilation system
noises separation
fast Fourier transform method
cutoff frequency
Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 13
作者:
Wu, Lin
;
Xu, Yongjun
;
Wang, Fei
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/12/01
uncertainty reasoning
port mining
automatic identification system
origin-destination
trajectory data
Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic Regression Analyses in Fujian Province, China
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 22
作者:
Cao, Yifan
;
Jia, Hongliang
;
Xiong, Junnan
;
Cheng, Weiming
;
Li, Kun
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/03/15
flash flood susceptibility
GIS
Geodetector
certainty factor
logistic regression
Fujian Province
Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 19
作者:
Yin, Lingzhi
;
Wang, Yafei
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/03/15
Chinese railway network
complex network
linear reference
earthquake disasters
vulnerability analysis
Spatial Distribution of China's Industrial Output Values under Global Warming Scenarios RCP4.5 and RCP8.5
期刊论文
OAI收割
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:16/0
  |  
提交时间:2021/03/15
climate change
industrial output value
RCP4
5 and RCP8
5
machine learning
random forest algorithm
China
Exploring the Attractiveness of Residential Areas for Human Activities Based on Shared E-Bike Trajectory Data
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 20
作者:
Cheng, Xiaoqian
;
Du, Weibing
;
Li, Chengming
;
Yang, Leiku
;
Xu, Linjuan
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/03/15
shared e-bike trajectory
commuting activity
urban residential area
machine learning
urban hot spots
Spatial Pattern of Construction Land Distribution in Bays along the Coast of Vietnam
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 21
作者:
Zhang, Junjue
;
Su, Fenzhen
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/03/15
bay type
construction land
landscape index
spatial pattern
sea–
land gradient
Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 1-13
作者:
Zhao, Xuan
;
Liu, Jianjun
;
Hao, Hongke
;
Yang, Yanzheng
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2021/08/31
urban forest
forest biomass
biomass distribution
geographic detector
Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest Biomass in the Urban Area of Xi'an, China
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 1-13
作者:
Zhao, Xuan
;
Liu, Jianjun
;
Hao, Hongke
;
Yang, Yanzheng
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/08/31
urban forest
forest biomass
biomass distribution
geographic detector
Spatial Pattern of Construction Land Distribution in Bays along the Coast of Vietnam
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 21
作者:
Zhang, Junjue
;
Su, Fenzhen
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/03/15
bay type
construction land
landscape index
spatial pattern
sea–
land gradient