Road Access Deprivation Modelled Dataset in Pasto, Colombia
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2025
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| _version_ | 1866901989101666304 |
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| author | Hafner, Sebastian Zhao, Qunshan Alugbin, Bunmi Baruwa, Kehinde Cheruiyot, Caleb Sa'adu Da'u, Sabitu Du, Xingyi Elias, Peter Elsey, Helen Engstrom, Ryan Girgin, Serkan Pajarito Grajales, Diego Fabian Judith, Esther Kabaria, Caroline Kuffer, Monika Oluwatoyin, Odulana Onyambu, Francis C. Shonowo, Adenike Thomson, Dana R Zhu, Mingyu Porto de Albuquerque, João |
| author_facet | Hafner, Sebastian Zhao, Qunshan Alugbin, Bunmi Baruwa, Kehinde Cheruiyot, Caleb Sa'adu Da'u, Sabitu Du, Xingyi Elias, Peter Elsey, Helen Engstrom, Ryan Girgin, Serkan Pajarito Grajales, Diego Fabian Judith, Esther Kabaria, Caroline Kuffer, Monika Oluwatoyin, Odulana Onyambu, Francis C. Shonowo, Adenike Thomson, Dana R Zhu, Mingyu Porto de Albuquerque, João |
| contents | <pre>This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of road access deprivation are related to more deprived areas.<br><br>Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.<br><br>Computational resources for this work were provided by the Geospatial Computing Platform at the Center of Expertise in Big Geodata Science (CRIB), Faculty ITC, University of Twente. The authors thank the CRIB staff for maintaining the infrastructure and supporting scientific computing activities.</pre> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17858586 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Road Access Deprivation Modelled Dataset in Pasto, Colombia Hafner, Sebastian Zhao, Qunshan Alugbin, Bunmi Baruwa, Kehinde Cheruiyot, Caleb Sa'adu Da'u, Sabitu Du, Xingyi Elias, Peter Elsey, Helen Engstrom, Ryan Girgin, Serkan Pajarito Grajales, Diego Fabian Judith, Esther Kabaria, Caroline Kuffer, Monika Oluwatoyin, Odulana Onyambu, Francis C. Shonowo, Adenike Thomson, Dana R Zhu, Mingyu Porto de Albuquerque, João IDEAMAPS Urban Deprivation Road Accesibility Pasto Colombia Paticipatory Mapping <pre>This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of road access deprivation are related to more deprived areas.<br><br>Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.<br><br>Computational resources for this work were provided by the Geospatial Computing Platform at the Center of Expertise in Big Geodata Science (CRIB), Faculty ITC, University of Twente. The authors thank the CRIB staff for maintaining the infrastructure and supporting scientific computing activities.</pre> |
| title | Road Access Deprivation Modelled Dataset in Pasto, Colombia |
| topic | IDEAMAPS Urban Deprivation Road Accesibility Pasto Colombia Paticipatory Mapping |
| url | https://doi.org/10.5281/zenodo.17858586 |