Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data

Published:2017-02-08 Issue: Volume: Page:1-25
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Yao Yao,Liu Xiaoping,Li Xia,Zhang Jinbao,Liang Zhaotang,Mai Ke,Zhang Yatao

Funder

National Natural Science Foundation of China

National Science Fund for Excellent Young Scholars of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Reference52 articles.

1. Internal migration and urbanization in China: Impacts on population exposure to household air pollution (2000–2010)

2. Spatial refinement of census population distribution using remotely sensed estimates of impervious surfaces in Haiti

3. Fine-resolution population mapping using OpenStreetMap points-of-interest

4. LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics

5. LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics

Cited by 188 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HashGAT-VCA: A vector cellular automata model with hash function and graph attention network for urban land-use change simulation;Landscape and Urban Planning;2024-10

2. Enhancing population data granularity: A comprehensive approach using LiDAR, POI, and quadratic programming;Cities;2024-09

3. Revealing urban greenspace accessibility inequity using the carrying capacity-based 3SFCA method and location big data;Sustainable Cities and Society;2024-08

4. How does evacuation risk change over time? Influences on evacuation strategies during accidental toxic gas releases;International Journal of Disaster Risk Reduction;2024-06

5. Multi-scale population analysis unit construction method considering scene feature variability and long/short-term patterns in spatiotemporal population activities;International Journal of Digital Earth;2024-05-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3