Methods for visualising complex water quality data

Includes abstract. === Includes bibliographical references (leaves 157-173). === 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...

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Bibliographic Details
Main Author: Silberbauer, Michael John
Other Authors: Day, Jenny
Format: Doctoral Thesis
Language:English
Published: University of Cape Town 2015
Subjects:
Online Access:http://hdl.handle.net/11427/12148
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-121482020-07-22T05:07:58Z Methods for visualising complex water quality data Silberbauer, Michael John Day, Jenny Zoology Includes abstract. Includes bibliographical references (leaves 157-173). 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. 2015-01-13T04:06:17Z 2015-01-13T04:06:17Z 2009 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/12148 eng application/pdf University of Cape Town Faculty of Science Department of Biological Sciences
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Zoology
spellingShingle Zoology
Silberbauer, Michael John
Methods for visualising complex water quality data
description Includes abstract. === Includes bibliographical references (leaves 157-173). === 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.
author2 Day, Jenny
author_facet Day, Jenny
Silberbauer, Michael John
author Silberbauer, Michael John
author_sort Silberbauer, Michael John
title Methods for visualising complex water quality data
title_short Methods for visualising complex water quality data
title_full Methods for visualising complex water quality data
title_fullStr Methods for visualising complex water quality data
title_full_unstemmed Methods for visualising complex water quality data
title_sort methods for visualising complex water quality data
publisher University of Cape Town
publishDate 2015
url http://hdl.handle.net/11427/12148
work_keys_str_mv AT silberbauermichaeljohn methodsforvisualisingcomplexwaterqualitydata
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