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Statistical analysis of bird atlas data from Swaziland

The question of what determines the observed geographical distributions of animal species is one of great interest to natural scientists. In general terms, these distributions are known to be related to a number of environmental factors, but the nature of the relationships and the relative importanc...

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Main Author: Parker, Vincent
Other Authors: Underhill, Leslie G
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2016
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access_status_str Open Access
author Parker, Vincent
author2 Underhill, Leslie G
author_browse Parker, Vincent
Underhill, Leslie G
author_facet Underhill, Leslie G
Parker, Vincent
author_sort Parker, Vincent
collection Thesis
description The question of what determines the observed geographical distributions of animal species is one of great interest to natural scientists. In general terms, these distributions are known to be related to a number of environmental factors, but the nature of the relationships and the relative importance of the different factors remain poorly understood. This investigation sets out to obtain more insight into these questions by using statistical methods to explore the relationships between the observed geographical distributions of bird species in Swaziland and a number of environmental variables. In 1985 I set out to compile a bird atlas of Swaziland. Data were accumulated between 1985 and 1991 and the bird atlas submitted to a publisher in May 1993. The text of the bird atlas is included here as Appendix 2 because it provides the essential background to this dissertation. The introductory section of the atlas includes a description of the data gathering process. The analysis included in the bird atlas was aimed at a popular readership and was not intended to form part of an academic dissertation Chapter 1 describes the use of logistic regression to investigate the relationships between the bird distribution patterns and a set of environmental variables and to predict the distributions. Chapter 2 describes the results of applying the methods described in Chapter 1 for all of the bird species for which data were available. Because this paper was aimed at a different readership, some repetition of material contained in Chapter 1 was unavoidable. In Chapter 3, biplot techniques were used to obtain a graphical representation of the bird atlas data.
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institution University of Cape Town (South Africa)
language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
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publisher Department of Statistical Sciences
publisherStr Department of Statistical Sciences
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/20195 Statistical analysis of bird atlas data from Swaziland Parker, Vincent Underhill, Leslie G Statistical Sciences The question of what determines the observed geographical distributions of animal species is one of great interest to natural scientists. In general terms, these distributions are known to be related to a number of environmental factors, but the nature of the relationships and the relative importance of the different factors remain poorly understood. This investigation sets out to obtain more insight into these questions by using statistical methods to explore the relationships between the observed geographical distributions of bird species in Swaziland and a number of environmental variables. In 1985 I set out to compile a bird atlas of Swaziland. Data were accumulated between 1985 and 1991 and the bird atlas submitted to a publisher in May 1993. The text of the bird atlas is included here as Appendix 2 because it provides the essential background to this dissertation. The introductory section of the atlas includes a description of the data gathering process. The analysis included in the bird atlas was aimed at a popular readership and was not intended to form part of an academic dissertation Chapter 1 describes the use of logistic regression to investigate the relationships between the bird distribution patterns and a set of environmental variables and to predict the distributions. Chapter 2 describes the results of applying the methods described in Chapter 1 for all of the bird species for which data were available. Because this paper was aimed at a different readership, some repetition of material contained in Chapter 1 was unavoidable. In Chapter 3, biplot techniques were used to obtain a graphical representation of the bird atlas data. 2016-07-04T08:42:56Z 2016-07-04T08:42:56Z 1995 Master Thesis Masters MSc http://hdl.handle.net/11427/20195 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town
spellingShingle Statistical Sciences
Parker, Vincent
Statistical analysis of bird atlas data from Swaziland
thesis_degree_str Master's
title Statistical analysis of bird atlas data from Swaziland
title_full Statistical analysis of bird atlas data from Swaziland
title_fullStr Statistical analysis of bird atlas data from Swaziland
title_full_unstemmed Statistical analysis of bird atlas data from Swaziland
title_short Statistical analysis of bird atlas data from Swaziland
title_sort statistical analysis of bird atlas data from swaziland
topic Statistical Sciences
url http://hdl.handle.net/11427/20195
work_keys_str_mv AT parkervincent statisticalanalysisofbirdatlasdatafromswaziland