A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data

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 disadv...

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Bibliographic Details
Main Authors:	Day, Jennifer, Chen, Yiqun, Ellis, Peter, Roberts, Mark
Format:	Journal Article
Language:	en_US
Published:	Taylor and Francis 2015
Subjects:	urbanization urban extents point data metropolitan region
Online Access:	http://hdl.handle.net/10986/23537

id	okr-10986-23537
recordtype	oai_dc
spelling	okr-10986-235372021-04-23T14:04:15Z A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data Day, Jennifer Chen, Yiqun Ellis, Peter Roberts, Mark urbanization urban extents point data metropolitan region 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. 2015-12-29T16:12:59Z 2015-12-29T16:12:59Z 2015-10-29 Journal Article Spatial Economic Analysis 1742-1772 http://hdl.handle.net/10986/23537 en_US CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Taylor and Francis Publications & Research :: Journal Article Publications & Research Sri Lanka
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	en_US
topic	urbanization urban extents point data metropolitan region
spellingShingle	urbanization urban extents point data metropolitan region Day, Jennifer Chen, Yiqun Ellis, Peter Roberts, Mark A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data
geographic_facet	Sri Lanka
description	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.
format	Journal Article
author	Day, Jennifer Chen, Yiqun Ellis, Peter Roberts, Mark
author_facet	Day, Jennifer Chen, Yiqun Ellis, Peter Roberts, Mark
author_sort	Day, Jennifer
title	A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data
title_short	A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data
title_full	A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data
title_fullStr	A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data
title_full_unstemmed	A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data
title_sort	free, open-source tool for identifying urban agglomerations using point data
publisher	Taylor and Francis
publishDate	2015
url	http://hdl.handle.net/10986/23537
_version_	1764454124969000960

A Free, Open-Source Tool for Identifying Urban Agglomerations Using Point Data

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