Cloud-based integration and standardization of address data for disaster management – a South African case study

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dc.contributor.author Tredrea, G.
dc.contributor.author Coetzee, Serena Martha
dc.contributor.author Rautenbach, Victoria
dc.date.accessioned 2021-05-11T07:46:10Z
dc.date.available 2021-05-11T07:46:10Z
dc.date.issued 2020
dc.description.abstract Addresses are essential for disaster risk management and response because they are used to locate people affected by a disaster or at risk of being affected. South Africa is vulnerable to disasters, however, despite a legislative framework for supporting disaster risk management that meets international standards, implementation falls short due to underfunding, poor interdepartmental coordination and lack of political support. The importance of cross jurisdictional address data was highlighted by the COVID-19 pandemic of 2020 when the geocoding of positive cases was hindered due to the lack of such address data in South Africa. In this paper, we present first results about a cloud-based tool for integrating address data from multiple municipalities into a single address dataset that conforms to the South African National Standard, SANS 1883-2:2017, Geographic information – Addresses: Part 2: Address data exchange. We reviewed and evaluated three cloud platforms for the prototype implementation. The integrated dataset is maintained in the cloud and therefore readily accessible by relevant organizations. At the same time, processing in the cloud can handle changing volumes of data with elasticity, i.e. computing power can be increased or decreased at short notice, as necessary during a disaster response. Furthermore, processing can be automated, thereby mitigating the risk of reduced manpower due to a disaster. Overall, a properly maintained cloudbased tool can result in more efficient use of resources presenting a viable and interesting alternative for underfunded disaster risk management centres in South Africa and other parts of the world. en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en_ZA
dc.description.librarian pm2021 en_ZA
dc.description.uri https://www.isprs.org/publications/archives.aspx en_ZA
dc.identifier.citation Tredrea, G., Coetzee, S., and Rautenbach, V.: Cloud-based integration and standardization of address data for disaster management – A South African case study, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIV-3/W1-2020, 145–150, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-145-2020, 2020. en_ZA
dc.identifier.issn 1682-1750 (print)
dc.identifier.issn 2194-9034 (online)
dc.identifier.other 10.5194/isprs-archives-XLIV-3-W1-2020-145-2020, 2020.
dc.identifier.uri http://hdl.handle.net/2263/79823
dc.language.iso en en_ZA
dc.publisher Copernicus Publications en_ZA
dc.rights © Authors 2020. CC BY 4.0 License. en_ZA
dc.subject Data integration en_ZA
dc.subject Address data en_ZA
dc.subject Standardisation en_ZA
dc.subject Cloud computing en_ZA
dc.subject Cross jurisdiction semantics en_ZA
dc.subject South Africa (SA) en_ZA
dc.title Cloud-based integration and standardization of address data for disaster management – a South African case study en_ZA
dc.type Article en_ZA


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