Guidelines for creating framework data for GIS analysis in low- and middle-income countries
Health sciences research is increasingly incorporating geographic methods and spatial data. Accessing framework data is an essential pre-requisite for conducting health-related geographic information systems (GIS) research. However, in low- and middle-income countries (LMICs) these data are not read...
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| Format: | Article |
| Language: | English |
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Wiley
2021
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| Online Access: | https://doi.org/10.1111/cag.12295 http://hdl.handle.net/11408/4493 |
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| author | Makanga, Prestige Tatenda Nadine, Schuurman Sacoor, Charfudin Helena, Boene von Dadelszen, Peter Firoz, Tabassum |
| author_facet | Makanga, Prestige Tatenda Nadine, Schuurman Sacoor, Charfudin Helena, Boene von Dadelszen, Peter Firoz, Tabassum |
| author_sort | Makanga, Prestige Tatenda |
| collection | DSpace |
| description | Health sciences research is increasingly incorporating geographic methods and spatial data. Accessing framework data is an essential pre-requisite for conducting health-related geographic information systems (GIS) research. However, in low- and middle-income countries (LMICs) these data are not readily available—and there is a lack of coordinated data creation and sharing. This paper describes a simple set of strategies for creating high-resolution framework data in LMICs, based on lessons from a maternal health GIS project—“Mapping Outcomes for Mothers”—conducted in southern Mozambique. Data gathering involved an extensive search through public online data warehouses and mapping agencies. Freely available satellite image services were used to create road centrelines, while GPS coordinates of households in the study area were used to create community boundaries. Our experience from this work shows that manual digitizing is becoming cheaper and faster, due to increased availability of free satellite image services and open mapping standards that allow for distributed data capture. Involving mapping agencies in data capture processes will likely promote the scaling up of framework data creation in LMICs. This will benefit health GIS research in these settings |
| format | Article |
| id | ir-11408-4493 |
| institution | My University |
| language | English |
| publishDate | 2021 |
| publisher | Wiley |
| record_format | dspace |
| spelling | ir-11408-44932022-06-27T13:49:06Z Guidelines for creating framework data for GIS analysis in low- and middle-income countries Makanga, Prestige Tatenda Nadine, Schuurman Sacoor, Charfudin Helena, Boene von Dadelszen, Peter Firoz, Tabassum Health-related geographic information systems Health sciences research is increasingly incorporating geographic methods and spatial data. Accessing framework data is an essential pre-requisite for conducting health-related geographic information systems (GIS) research. However, in low- and middle-income countries (LMICs) these data are not readily available—and there is a lack of coordinated data creation and sharing. This paper describes a simple set of strategies for creating high-resolution framework data in LMICs, based on lessons from a maternal health GIS project—“Mapping Outcomes for Mothers”—conducted in southern Mozambique. Data gathering involved an extensive search through public online data warehouses and mapping agencies. Freely available satellite image services were used to create road centrelines, while GPS coordinates of households in the study area were used to create community boundaries. Our experience from this work shows that manual digitizing is becoming cheaper and faster, due to increased availability of free satellite image services and open mapping standards that allow for distributed data capture. Involving mapping agencies in data capture processes will likely promote the scaling up of framework data creation in LMICs. This will benefit health GIS research in these settings 2021-11-10T11:24:19Z 2021-11-10T11:24:19Z 2016 Article 0008-3658 1541-0064 https://doi.org/10.1111/cag.12295 http://hdl.handle.net/11408/4493 en The Canadian Geographer;Vol. 60; No. 3: p. 320-332 open Wiley |
| spellingShingle | Health-related geographic information systems Makanga, Prestige Tatenda Nadine, Schuurman Sacoor, Charfudin Helena, Boene von Dadelszen, Peter Firoz, Tabassum Guidelines for creating framework data for GIS analysis in low- and middle-income countries |
| title | Guidelines for creating framework data for GIS analysis in low- and middle-income countries |
| title_full | Guidelines for creating framework data for GIS analysis in low- and middle-income countries |
| title_fullStr | Guidelines for creating framework data for GIS analysis in low- and middle-income countries |
| title_full_unstemmed | Guidelines for creating framework data for GIS analysis in low- and middle-income countries |
| title_short | Guidelines for creating framework data for GIS analysis in low- and middle-income countries |
| title_sort | guidelines for creating framework data for gis analysis in low- and middle-income countries |
| topic | Health-related geographic information systems |
| url | https://doi.org/10.1111/cag.12295 http://hdl.handle.net/11408/4493 |
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