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Methods for visualising complex water quality data
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Biological Sciences
2015
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| _version_ | 1867613584722231296 |
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| access_status_str | Open Access |
| author | Silberbauer, Michael John |
| author2 | Day, Jenny |
| author_browse | Day, Jenny Silberbauer, Michael John |
| author_facet | Day, Jenny Silberbauer, Michael John |
| author_sort | Silberbauer, Michael John |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/12148 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:38:28.721Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Biological Sciences |
| publisherStr | Department of Biological Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/12148 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 Department of Biological Sciences Faculty of Science University of Cape Town |
| spellingShingle | Zoology Silberbauer, Michael John Methods for visualising complex water quality data |
| thesis_degree_str | Doctoral |
| title | 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_short | Methods for visualising complex water quality data |
| title_sort | methods for visualising complex water quality data |
| topic | Zoology |
| url | http://hdl.handle.net/11427/12148 |
| work_keys_str_mv | AT silberbauermichaeljohn methodsforvisualisingcomplexwaterqualitydata |