中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究... [18]
采集方式
OAI收割 [18]
内容类型
期刊论文 [18]
发表日期
2020 [18]
学科主题
筛选
浏览/检索结果:
共18条,第1-10条
帮助
限定条件
存缴方式:oaiharvest
发表日期:2020
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
发表日期升序
发表日期降序
A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13
作者:
Zhang, Qiang
;
Wu, Shun
;
Wang, Xiangwen
;
Sun, Binzhen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/03/16
PM(2.5)prediction
Multi-task deep learning
Artificial intelligence
Intensive monitoring stations
Lanzhou city
Examining the soil erosion responses to ecological restoration programs and landscape drivers: A spatial econometric perspective
期刊论文
OAI收割
JOURNAL OF ARID ENVIRONMENTS, 2020, 卷号: 183, 页码: 16
作者:
Jiang, Chong
;
Zhao, Lingling
;
Dai, Jialing
;
Liu, Haimeng
;
Li, Zhouyuan
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/03/16
Land degradation
Soil erosion
Landscape metric
Spatial econometric model
Loess plateau
A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13
作者:
Zhang, Qiang
;
Wu, Shun
;
Wang, Xiangwen
;
Sun, Binzhen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/03/16
PM(2.5)prediction
Multi-task deep learning
Artificial intelligence
Intensive monitoring stations
Lanzhou city
Evaluating the Real-Time Impact of COVID-19 on Cities: China as a Case Study
期刊论文
OAI收割
COMPLEXITY, 2020, 卷号: 2020, 页码: 11
作者:
Liu, Haimeng
;
Fang, Chuanglin
;
Gao, Qian
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/03/16
Evaluating the Real-Time Impact of COVID-19 on Cities: China as a Case Study
期刊论文
OAI收割
COMPLEXITY, 2020, 卷号: 2020, 页码: 11
作者:
Liu, Haimeng
;
Fang, Chuanglin
;
Gao, Qian
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/03/16
The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 16, 页码: 19
作者:
Yuan, Huaxi
;
Feng, Yidai
;
Lee, Jay
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/03/16
financial agglomeration
green development
spatial autocorrelation
spatio-temporal heterogeneity
GTWR
China
Big data analysis on the spatial networks of urban agglomeration
期刊论文
OAI收割
CITIES, 2020, 卷号: 102, 页码: 16
作者:
Fang, Chuanglin
;
Yu, Xiaohua
;
Zhang, Xiaoling
;
Fang, Jiawen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/23
Social network big data
Strength of spatial networks
Spatial connectivity
Urban network
Integrated measurement model
Beijing-Tianjin-Hebei urban agglomeration
Big data analysis on the spatial networks of urban agglomeration
期刊论文
OAI收割
CITIES, 2020, 卷号: 102, 页码: 16
作者:
Fang, Chuanglin
;
Yu, Xiaohua
;
Zhang, Xiaoling
;
Fang, Jiawen
;
Liu, Haimeng
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/03/23
Social network big data
Strength of spatial networks
Spatial connectivity
Urban network
Integrated measurement model
Beijing-Tianjin-Hebei urban agglomeration
Beautiful China Initiative: Human-nature harmony theory, evaluation index system and application
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 5, 页码: 691-704
作者:
Fang Chuanglin
;
Wang Zhenbo
;
Liu Haimeng
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/03/23
Beautiful China Initiative
theoretical basis
theory of human-nature harmonious coexistence
evaluation index system
Chinese Academy of Sciences Beauty Index
evaluation plan
Beautiful China Initiative: Human-nature harmony theory, evaluation index system and application
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 5, 页码: 691-704
作者:
Fang Chuanglin
;
Wang Zhenbo
;
Liu Haimeng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/03/23
Beautiful China Initiative
theoretical basis
theory of human-nature harmonious coexistence
evaluation index system
Chinese Academy of Sciences Beauty Index
evaluation plan