Spatial Video Health Risk Mapping in Informal Settlements: Correcting GPS Error
Informal settlements pose a continuing health concern. While spatial methodologies have proven to be valuable tools to support health interventions, several factors limit their widespread use in these challenging environments. One such technology, spatial video, has been used for fine-scale contextu...
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| Veröffentlicht in: | International journal of environmental research and public health 2018-12, Vol.16 (1), p.33 |
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| creator | Curtis, Andrew Bempah, Sandra Ajayakumar, Jayakrishnan Mofleh, Dania Odhiambo, Lorriane |
| description | Informal settlements pose a continuing health concern. While spatial methodologies have proven to be valuable tools to support health interventions, several factors limit their widespread use in these challenging environments. One such technology, spatial video, has been used for fine-scale contextualized mapping. In this paper, we address one of the limitations of the technique: the global positioning system (GPS) coordinate error. More specifically, we show how spatial video coordinate streams can be corrected and synced back to the original video to facilitate risk mapping. Past spatial video collections for the Mathare informal settlement of Kenya are used as an illustration as these data had been previously discarded because of excessive GPS error. This paper will describe the bespoke software that makes these corrections possible, and then will go on to investigate patterns in the coordinate error. |
| doi_str_mv | 10.3390/ijerph16010033 |
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While spatial methodologies have proven to be valuable tools to support health interventions, several factors limit their widespread use in these challenging environments. One such technology, spatial video, has been used for fine-scale contextualized mapping. In this paper, we address one of the limitations of the technique: the global positioning system (GPS) coordinate error. More specifically, we show how spatial video coordinate streams can be corrected and synced back to the original video to facilitate risk mapping. Past spatial video collections for the Mathare informal settlement of Kenya are used as an illustration as these data had been previously discarded because of excessive GPS error. 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| subjects | Cameras Community involvement Community participation Data collection Defecation Digitization Disease Disease control Dumping Environmental factors Epidemiology Error correction Geographic Information Systems Global positioning systems GPS Health risks Health Status Humans Informal Sector Kenya Living conditions Mapping Population Surveillance - methods Public health Quality Researchers Risk Assessment - methods Sanitation Satellite imagery Spatial data Toilet facilities Unmanned aerial vehicles |
| title | Spatial Video Health Risk Mapping in Informal Settlements: Correcting GPS Error |
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