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Vernacular Cartography: Urban Participatory Mapping in Las Flores of Barranquilla, Colombia.

Timothy B Norris, University of Miami Libraries / Center for Computational Science. Christopher Mader, University of Miami Center for Computational Science

Abstract: More than half of the world population lives in cities. Nearly one billion people within this urban population live in informal communities that are generally not documented, lack land tenure, and are often beyond the reach of government services and infrastructure. Concurrent to this trend, maps and geospatial databases are now recognized as powerful tools to aid community planning, mitigate poverty, assist in public health initiatives, and establish land tenure. This paper explores how drone survey technology in conjunction with established participatory mapping methodologies can facilitate the self-documentation of the informal urban community of Las Flores in Barranquilla, Colombia. We ask how insights from participatory mapping, cartografía social, urban planning and indigenous data governance come together in this informal urban setting. Our goal is to outline an interdisciplinary approach to “map the vernacular” which can enable more environmentally sustainable and socially just development during periods of intense urbanization. Keywords: participatory mapping, drone survey, Colombia, data governance, cartografía social

This repository contains a short presentation for the participatory mapping session of the CLAG 2018 meeting in Costa Rica.

If you are not looking for the repository, but simply the presentation, please see the hosted version.


Copyrighted material

Please contact Tim Norris, tnorris at miami.edu


Credits and Attributions

The repository was created by Timothy B Norris.
Materials in this repository were created by: Christopher Mader, University of Miami Center for Computational Science
Timothy Norris, University of Miami Libraries and Center for Computational Science. Adib Cure, University of Miami School of Architecture. Carie Penabad, University of Miami School of Architecture. Amin Sarafraz, University of Miami Center for Computational Science.


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