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Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings

Thesis (MSc)--Stellenbosch University, 2021.

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Bibliographic Details
Main Author: Lines, Harry Alexander
Other Authors: Tucker, Ryan T.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2021
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access_status_str Open Access
author Lines, Harry Alexander
author2 Tucker, Ryan T.
author_browse Lines, Harry Alexander
Tucker, Ryan T.
author_facet Tucker, Ryan T.
Lines, Harry Alexander
author_sort Lines, Harry Alexander
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MSc)--Stellenbosch University, 2021.
format Thesis
id oai:scholar.sun.ac.za:10019.1/110340
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:42:30.205Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/110340 Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings Lines, Harry Alexander Tucker, Ryan T. Govender, Romala Stellenbosch University. Faculty of Science. Dept. of Earth Sciences. Geographical Information Systems (GIS) -- Modelling Palaeontology Fossils sites Fossil localities -- South Africa -- West Coast Fossil Park -- Langebaanweg Fossil localities -- Central Utah (USA) -- Cedar Mountain Formation UCTD Thesis (MSc)--Stellenbosch University, 2021. This thesis explores the application of GIS-based predictive modelling to the field of Palaeontology. A universal methodology based on a multi-variate analysis of five environmental variables is presented. The incorporated environmental datasets were successfully acquired from a variety of publicly accessible online sources related to each study area. Our methodology was based on previous studies and expanded upon previous approaches to suitability modelling in the context of fossil prospecting. All stages of modelling were conducted within the ArcGIS software package and could be closely reproduced in alternative free software packages such as QGIS. Environmental variables were reclassified to a universal suitability scale of 1 to 20 and then amalgamated into a singular suitability analysis using the Weighted Overlay tool. The produced model was tested on two well documented fossil localities – The West Coast Fossil Park near Langebaanweg (South Africa) and the Cedar Mountain Formation of Central Utah (USA). After successfully classifying known fossil sites in both study areas, the model was applied to a largely unexplored and undocumented region – The Skeleton Coast of North-West Namibia. From the resultant model, 5 sites were identified and suggested for the 2021 expedition season. All models resulted in significant reductions in the prospective ground of each study area, ranging between 54% and 99%. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Masters 2021-02-08T11:51:11Z 2021-04-22T11:41:51Z 2022-01-01T03:00:08Z 2021-04 Thesis http://hdl.handle.net/10019.1/110340 en_ZA Stellenbosch University 68 pages : illustrations (some color), maps application/pdf Stellenbosch : Stellenbosch University
spellingShingle Geographical Information Systems (GIS) -- Modelling
Palaeontology
Fossils sites
Fossil localities -- South Africa -- West Coast Fossil Park -- Langebaanweg
Fossil localities -- Central Utah (USA) -- Cedar Mountain Formation
UCTD
Lines, Harry Alexander
Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings
title Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings
title_full Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings
title_fullStr Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings
title_full_unstemmed Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings
title_short Application of GIS-based suitability modelling to predict fossil sites in high-risk/high-reward geographic settings
title_sort application of gis based suitability modelling to predict fossil sites in high risk high reward geographic settings
topic Geographical Information Systems (GIS) -- Modelling
Palaeontology
Fossils sites
Fossil localities -- South Africa -- West Coast Fossil Park -- Langebaanweg
Fossil localities -- Central Utah (USA) -- Cedar Mountain Formation
UCTD
url http://hdl.handle.net/10019.1/110340
work_keys_str_mv AT linesharryalexander applicationofgisbasedsuitabilitymodellingtopredictfossilsitesinhighriskhighrewardgeographicsettings