.png){kind=icon}
返回
High resolution population estimates from telecommunications data
.png){kind=icon}
OA
AI
DOI：10.1140/epjds/s13688-015-0040-6.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Spatial variations in the distribution and composition of populations inform urban development, health-risk analyses, disaster relief, and more. Despite the broad relevance and importance of such data, acquiring local census estimates in a timely and accurate manner is challenging because population counts can change rapidly, are often politically charged, and suffer from logistical and administrative challenges. These limitations necessitate the development of alternative or complementary approaches to population mapping. In this paper we develop an explicit connection between telecommunications data and the underlying population distribution of Milan, Italy. We go on to test the scale invariance of this connection and use telecommunications data in conjunction with high-resolution census data to create easily updated and potentially real time population estimates in time and space.
Keyword:
cell phone network
gravity model
scale invariance
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
693
被引数:
1.6K
机构
引用论文
.png){kind=icon}
Community composition and collective action: Analyzing initial mail response to the 2000 Census
PREAI
分享收藏
查看更多内容