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Identifying Urban Areas by Combining Data from the Ground and from Outer Space: An Application to India

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dc.contributor.authorGaldo, Virgilio
dc.contributor.authorLi, Yue
dc.contributor.authorRama, Martin
dc.date.accessioned2018-11-01T18:44:00Z
dc.date.available2018-11-01T18:44:00Z
dc.date.issued2018-10
dc.description.abstractThis paper develops a tractable method to identify urban areas and applies it to India, where urbanization is messy. Google Earth images are assessed subjectively to determine whether a stratified large sample of Indian cities, towns and villages, as officially defined, are urban or rural in practice. Based on these assessments, a regression analysis combines two sources of information—data from georeferenced population censuses and data from satellite imagery—to identify the correlates of units in the sample being urban. The resulting model is used to predict whether the other units in the country are urban or rural in practice. Contrary to frequent claims, India is not substantially more urban than implied by census data. And the speed of urbanization is only marginally higher than official statistics suggest. But a considerable number of locations are misclassified in the midrange between villages and state capitals. The results confirm the value of combining subjective assessments with data from these different sources.en
dc.identifierhttp://documents.worldbank.org/curated/en/892371540833795715/Identifying-Urban-Areas-by-Combining-Data-from-the-Ground-and-from-Outer-Space-An-Application-to-India
dc.identifier.doi10.1596/1813-9450-8628
dc.identifier.urihttps://hdl.handle.net/10986/30648
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 8628
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectURBANIZATION
dc.subjectURBAN EXTENT
dc.subjectURBAN SPRAWL
dc.subjectSATELLITE IMAGERY
dc.subjectGEOSPATIAL ECONOMICS
dc.subjectGEOREFERENCED DATA
dc.titleIdentifying Urban Areas by Combining Data from the Ground and from Outer Spaceen
dc.title.subtitleAn Application to Indiaen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleIdentifying Urban Areas By Combining Data From The Ground And From Outer Space: An Application To India
okr.date.disclosure2018-10-29
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/892371540833795715/Identifying-Urban-Areas-by-Combining-Data-from-the-Ground-and-from-Outer-Space-An-Application-to-India
okr.guid892371540833795715
okr.identifier.doi10.1596/1813-9450-8628
okr.identifier.doihttps://doi.org/10.1596/1813-9450-8628
okr.identifier.externaldocumentum090224b08651faec_1_0
okr.identifier.internaldocumentum30557010
okr.identifier.reportWPS8628
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/892371540833795715/pdf/WPS8628.pdfen
okr.region.administrativeSouth Asia
okr.region.countryIndia
okr.statistics.combined2054
okr.statistics.dr892371540833795715
okr.statistics.drstats1698
okr.topicMacroeconomics and Economic Growth::Spatial and Local Economic Development
okr.topicScience and Technology Development::Earth Sciences & GIS
okr.topicUrban Development::Rural Urban Linkages
okr.topicUrban Development::Urban Economic Development
okr.unitOffice of the Chief Economist, South Asia Region
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relation.isAuthorOfPublication.latestForDiscovery10ae4f7d-00f2-5094-bedc-333c3ad8abe7
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