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Developing spatial indicators using a uniform tessellation to measure urban transformation

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dc.contributor.author Maritz, Johan
dc.contributor.author Le Roux, Alize
dc.contributor.author Mans, Gerbrand G
dc.date.accessioned 2018-07-10T08:07:20Z
dc.date.available 2018-07-10T08:07:20Z
dc.date.issued 2017-07
dc.identifier.citation Maritz, J., Le Roux, A. and Mans, G.G. 2017. Developing spatial indicators using a uniform tessellation to measure urban transformation. 2017 International Conference on Computational Science and Its Applications (ICCSA), 3-6 July 2017, Trieste, Italy, pp. 408-421 en_US
dc.identifier.isbn 978-3-319-62400-6
dc.identifier.uri DOI: 10.1007/978-3-319-62401-3_30
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-3-319-62401-3_30
dc.identifier.uri http://hdl.handle.net/10204/10298
dc.description © Springer International Publishing AG 2017. Due to copyright restrictions, the attached PDF file only contains the author's proof version of the item. For access to the published item, please consult the publisher's website. en_US
dc.description.abstract South Africa’s largest cities are subjected to high rates of urbanization with a projected 8 million people migrating to these urban spaces by 2030 [ 1]. Managing and guiding this growth is made more difficult due to the countries ‘apartheid city’ past - a segregated city form inherited from the pre-democratic order in 1994 where towns and cities were spatially engineered along racial divides. With the advent of a democratic order in South Africa in 1994 a number of policy frameworks have seen the light all of which have indicated the need to spatially transform cities and settlements – to break from the pre-1994 apartheid city. Measuring the progress made in spatial and socio-economic transformation has proven difficult as some information have only been provided at city or Local Municipal scale. To measure spatial outcomes, city performance, quality of life etc. a series of local and international city scale indicators has been developed. These however are only useful when comparing cities; it does not convey sub-city scale change or transformation. This paper profiles an approach that uses a single-sized uniform tessellation to create demographic and economic indicators for nine cities and explores the utilisation of this tessellated framework to analyse and depict demographic and economic change over time. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Worklist;19665
dc.subject City indicators en_US
dc.subject Spatial framework en_US
dc.subject Tessellation en_US
dc.subject Transformation of cities en_US
dc.title Developing spatial indicators using a uniform tessellation to measure urban transformation en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Maritz, J., Le Roux, A., & Mans, G. G. (2017). Developing spatial indicators using a uniform tessellation to measure urban transformation. Springer. http://hdl.handle.net/10204/10298 en_ZA
dc.identifier.chicagocitation Maritz, Johan, Alize Le Roux, and Gerbrand G Mans. "Developing spatial indicators using a uniform tessellation to measure urban transformation." (2017): http://hdl.handle.net/10204/10298 en_ZA
dc.identifier.vancouvercitation Maritz J, Le Roux A, Mans GG, Developing spatial indicators using a uniform tessellation to measure urban transformation; Springer; 2017. http://hdl.handle.net/10204/10298 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Maritz, Johan AU - Le Roux, Alize AU - Mans, Gerbrand G AB - South Africa’s largest cities are subjected to high rates of urbanization with a projected 8 million people migrating to these urban spaces by 2030 [ 1]. Managing and guiding this growth is made more difficult due to the countries ‘apartheid city’ past - a segregated city form inherited from the pre-democratic order in 1994 where towns and cities were spatially engineered along racial divides. With the advent of a democratic order in South Africa in 1994 a number of policy frameworks have seen the light all of which have indicated the need to spatially transform cities and settlements – to break from the pre-1994 apartheid city. Measuring the progress made in spatial and socio-economic transformation has proven difficult as some information have only been provided at city or Local Municipal scale. To measure spatial outcomes, city performance, quality of life etc. a series of local and international city scale indicators has been developed. These however are only useful when comparing cities; it does not convey sub-city scale change or transformation. This paper profiles an approach that uses a single-sized uniform tessellation to create demographic and economic indicators for nine cities and explores the utilisation of this tessellated framework to analyse and depict demographic and economic change over time. DA - 2017-07 DB - ResearchSpace DP - CSIR KW - City indicators KW - Spatial framework KW - Tessellation KW - Transformation of cities LK - https://researchspace.csir.co.za PY - 2017 SM - 978-3-319-62400-6 T1 - Developing spatial indicators using a uniform tessellation to measure urban transformation TI - Developing spatial indicators using a uniform tessellation to measure urban transformation UR - http://hdl.handle.net/10204/10298 ER - en_ZA


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