Where is Everyone? The Importance of Population Density Data: A Data Artefact Study of the Facebook Population Density Map

S. Verhulst, A. Ramesh, Andrew Young, A. Zahuranec
{"title":"Where is Everyone? The Importance of Population Density Data: A Data Artefact Study of the Facebook Population Density Map","authors":"S. Verhulst, A. Ramesh, Andrew Young, A. Zahuranec","doi":"10.2139/ssrn.3937599","DOIUrl":null,"url":null,"abstract":"In this paper, we explore new and traditional approaches to measuring population density, and ways in which density information has frequently been used by humanitarian, private-sector and government actors to advance a range of private and public goals. We explain how new innovations are leading to fresh ways of collecting data—and fresh forms of data—and how this may open up new avenues for using density information in a variety of contexts. Section III examines one particular example: Facebook’s High-Resolution Population Density Maps (also referred to as HRSL, or high resolution settlement layer). This recent initiative, created in collaboration with a number of external organizations, shows not only the potential of mapping innovations but also the potential benefits of inter-sectoral partnerships and sharing. We examine three particular use cases of HRSL, and we follow with an assessment and some lessons learned. These lessons are applicable to HRSL in particular, but also more broadly. We conclude with some thoughts on avenues for future research.","PeriodicalId":433005,"journal":{"name":"Econometrics: Data Collection & Data Estimation Methodology eJournal","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometrics: Data Collection & Data Estimation Methodology eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3937599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we explore new and traditional approaches to measuring population density, and ways in which density information has frequently been used by humanitarian, private-sector and government actors to advance a range of private and public goals. We explain how new innovations are leading to fresh ways of collecting data—and fresh forms of data—and how this may open up new avenues for using density information in a variety of contexts. Section III examines one particular example: Facebook’s High-Resolution Population Density Maps (also referred to as HRSL, or high resolution settlement layer). This recent initiative, created in collaboration with a number of external organizations, shows not only the potential of mapping innovations but also the potential benefits of inter-sectoral partnerships and sharing. We examine three particular use cases of HRSL, and we follow with an assessment and some lessons learned. These lessons are applicable to HRSL in particular, but also more broadly. We conclude with some thoughts on avenues for future research.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大家在哪里?人口密度数据的重要性:Facebook人口密度地图的数据伪影研究
在本文中,我们探讨了测量人口密度的新方法和传统方法,以及人道主义、私营部门和政府行为体经常使用密度信息来推进一系列私人和公共目标的方法。我们解释了新的创新如何导致收集数据的新方法和新形式的数据,以及这如何为在各种情况下使用密度信息开辟新的途径。第三部分考察了一个特殊的例子:Facebook的高分辨率人口密度地图(也称为HRSL,或高分辨率定居层)。最近与一些外部组织合作发起的这一倡议不仅显示了制图创新的潜力,也显示了部门间伙伴关系和分享的潜在好处。我们研究了HRSL的三个特定用例,然后进行了评估和一些经验教训。这些经验教训特别适用于HRSL,但也适用于更广泛的领域。最后,对今后的研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Where is Everyone? The Importance of Population Density Data: A Data Artefact Study of the Facebook Population Density Map Asynchronous Fieldwork in Cross-Country Surveys: An Application to Physical Activity Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data The Perils of Working with Big Data and a SMALL Framework You Can Use to Avoid Them Fighting the Learning Crisis in Developing Countries: A Randomized Experiment of Self-Learning at the Right Level
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1