A Free, Open-Source Tool for Identifying Urban Agglomerations using Point Data
Jennifer Day,
Yiqun Chen,
Peter Ellis and
Mark Roberts
Spatial Economic Analysis, 2016, vol. 11, issue 1, 67-91
Abstract:
This paper describes a software tool for identifying urban agglomerations in low-information settings. The framework outlined in this paper is designed to work using point data. Our tool and all required data are provided free and in open-source format. This paper describes the advantages and disadvantages of using point-based geographies in regional analysis, discusses the practical and ethical challenges of distinguishing urban from rural regions, details the function of our software, and directs the interested reader to the source code. The paper also examines the tool's outputs for Sri Lanka and compares them with published United Nations urbanization figures. Our outputs indicate that Sri Lanka's urban population is significantly undercounted in official statistics.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/17421772.2016.1102957 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:specan:v:11:y:2016:i:1:p:67-91
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20
DOI: 10.1080/17421772.2016.1102957
Access Statistics for this article
Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori
More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().