Methods for visualising complex water quality data

 

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dc.contributor.advisor Day, Jenny en_ZA
dc.contributor.author Silberbauer, Michael John en_ZA
dc.date.accessioned 2015-01-13T04:06:17Z
dc.date.available 2015-01-13T04:06:17Z
dc.date.issued 2009 en_ZA
dc.identifier.citation Silberbauer, M. 2009. Methods for visualising complex water quality data. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/12148
dc.description Includes abstract. en_ZA
dc.description Includes bibliographical references (leaves 157-173). en_ZA
dc.description.abstract The quality of South Africa’s over-stretched water resources is a matter of concern for all who depend on them for their survival and prosperity, so access to the relevant monitoring data is essential. Visualisation is a powerful method for analysing these data and communicating the results, because it unloads complex cognitive processes from the fairly restricted human numerical processing structures onto the highly developed visual perception system. Developments in the field of visualisation during the past two decades have yielded many practical methods that are applicable to the analysis and presentation of water quality data. Judicious use of visualisation aids aquatic scientists, water resource managers and ordinary consumers in assessing the quality of their water and deciding on remedial measures. To provide some insight into the possibilities of visualisation techniques, I analyse and discuss five visual methods that I have developed or contributed to: multivariate time-series inventory plots; multivariate map symbols; spatially-referenced inventory of water quality data; mass transfer summary plots; and the use of visual methods in communicating the ecological status of rivers to a wide audience. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Zoology en_ZA
dc.title Methods for visualising complex water quality data en_ZA
dc.type Doctoral Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Biological Sciences en_ZA
dc.type.qualificationlevel Doctoral
dc.type.qualificationname PhD en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Silberbauer, M. J. (2009). <i>Methods for visualising complex water quality data</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Biological Sciences. Retrieved from http://hdl.handle.net/11427/12148 en_ZA
dc.identifier.chicagocitation Silberbauer, Michael John. <i>"Methods for visualising complex water quality data."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Biological Sciences, 2009. http://hdl.handle.net/11427/12148 en_ZA
dc.identifier.vancouvercitation Silberbauer MJ. Methods for visualising complex water quality data. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Biological Sciences, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12148 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Silberbauer, Michael John AB - The quality of South Africa’s over-stretched water resources is a matter of concern for all who depend on them for their survival and prosperity, so access to the relevant monitoring data is essential. Visualisation is a powerful method for analysing these data and communicating the results, because it unloads complex cognitive processes from the fairly restricted human numerical processing structures onto the highly developed visual perception system. Developments in the field of visualisation during the past two decades have yielded many practical methods that are applicable to the analysis and presentation of water quality data. Judicious use of visualisation aids aquatic scientists, water resource managers and ordinary consumers in assessing the quality of their water and deciding on remedial measures. To provide some insight into the possibilities of visualisation techniques, I analyse and discuss five visual methods that I have developed or contributed to: multivariate time-series inventory plots; multivariate map symbols; spatially-referenced inventory of water quality data; mass transfer summary plots; and the use of visual methods in communicating the ecological status of rivers to a wide audience. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Methods for visualising complex water quality data TI - Methods for visualising complex water quality data UR - http://hdl.handle.net/11427/12148 ER - en_ZA


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