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dc.date.accessioned2018-02-05T12:53:18Z
dc.date.available2018-02-05T12:53:18Z
dc.date.issued2017-11-21
dc.identifier.issn2071-1050
dc.identifier.uriurn:nbn:de:hebis:34-2018020554429
dc.identifier.urihttp://hdl.handle.net/123456789/2018020554429
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kassel
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectland use transitioneng
dc.subjectlandscape structureeng
dc.subjectperi-urban agricultureeng
dc.subjectvillage morphologyeng
dc.subjectstratified random sampleeng
dc.subjectcorrelation analysiseng
dc.subjectfrequency distributioneng
dc.subjectdiscontinuity analysiseng
dc.subjectsocial–ecological systemeng
dc.subject.ddc630
dc.titleConstruction and Use of a Simple Index of Urbanisation in the Rural–Urban Interface of Bangalore, Indiaeng
dc.typeAufsatz
dcterms.abstractUrbanisation is a global trend rapidly transforming the biophysical and socioeconomic structures of metropolitan areas. To better understand (and perhaps control) these processes, more interdisciplinary research must be dedicated to the rural–urban interface. This also calls for a common reference system describing intermediate stages along a rural–urban gradient. The present paper constructs a simple index of urbanisation for villages in the Greater Bangalore Area, using GIS analysis of satellite images, and combining basic measures of building density and distance. The correlation of the two parameters and discontinuities in the frequency distribution of the combined index indicate highly dynamic stages of transformation, spatially clustered in the rural–urban interface. This analysis is substantiated by a qualitative assessment of village morphologies. The index presented here serves as a starting point in a large, coordinated study of rural–urban transitions. It was used to stratify villages for random sampling in order to perform a representative socioeconomic household survey, along with agricultural experiments and environmental assessments in various subsamples. Later on, it will also provide a matrix against which the results can be aligned and evaluated. In this process, the measures and classification systems themselves can be further refined and elaborated.eng
dcterms.accessRightsopen access
dcterms.bibliographicCitationIn: Sustainability. - Basel : MDPI, 2017, 9, 2146, 1-21
dcterms.creatorHoffmann, Ellen M.
dcterms.creatorJose, Monish
dcterms.creatorNölke, Nils
dcterms.creatorMöckel, Thomas
dc.relation.doidoi:10.3390/su9112146


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