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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
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MD5: 40cdf5889f1d463dd7cb056fd11da34a
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 85.4 KB -
MD5: 5ee6093dd4024a4899df16900fcb1cbf
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 85.1 KB -
MD5: efa900b6142680731211edd0bbe8dade
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 236.5 KB -
MD5: 225dbea90925d106f177239ebaaf13e9
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 236.2 KB -
MD5: cfddd602db310697fea7e7224353a314
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 17.4 KB -
MD5: d5bb6c9f6db2a054736333b47ba10382
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 17.7 KB -
MD5: 50872df5d136abd9e51483e8f6ffe3af
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 5.2 KB -
MD5: 9931459636f08bee06a76145b64f6746
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Jun 28, 2022 -
Data for: Towards a progressive understanding of informal settlements: the contribution of the fringe belt concept
Shapefile as ZIP Archive - 5.5 KB -
MD5: d236d6af068c8c7a89afaaff9b5321e6
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Jun 28, 2022 - urbe. Revista Brasileira de Gestão Urbana
Donegan, Lucy; da Silva, Felipe Tavares, 2022, "Data for: Depicting routes and centralities: preparing and investigating Road Centre Lines for Angular Segment Analysis in two Brazilian cities", https://doi.org/10.48331/scielodata.VMBYJL, SciELO Data, V1
Data used in paper that is not already openly accessible or fully disclosed in the paper. Data included in this Dataverse repository are the OSM roads 2020 files as used in this paper, dowloaded from goefabrik.de and then cleaned. Please find more descriptions in.txt file. |