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An analysis of spatial percolation structures using a network approach

Includes bibliographical references.

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Bibliographic Details
Main Author: Fadul, Mohammed Altaj Mohammed
Other Authors: Witten, G
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2014
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access_status_str Open Access
author Fadul, Mohammed Altaj Mohammed
author2 Witten, G
author_browse Fadul, Mohammed Altaj Mohammed
Witten, G
author_facet Witten, G
Fadul, Mohammed Altaj Mohammed
author_sort Fadul, Mohammed Altaj Mohammed
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/4883
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:54.720Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/4883 An analysis of spatial percolation structures using a network approach Fadul, Mohammed Altaj Mohammed Witten, G Perrier, E Mathematics and Applied Mathematics Includes bibliographical references. In this thesis we analyse several spatial structures, built from percolation models, by means of an approach used so far in the field of network science. In the first chapter we summarize the major network concepts and characterizations that have been obtained as regards the statistical properties of several data sets or theoretical models, We also give a brief introduction to percolation theory and its applications, adding details in two particular cases where mathematical results are available. In the second chapter we then study one particular application of percolation theory to the modelling of distribution and species abundance at different seales. We mainly focus on the way percolation theory was used to compare two diffcrcnt spatial patterns, particularly the random and the aggrergated distribution. 2014-07-31T08:07:05Z 2014-07-31T08:07:05Z 2006 Master Thesis Masters MSc http://hdl.handle.net/11427/4883 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics and Applied Mathematics
Fadul, Mohammed Altaj Mohammed
An analysis of spatial percolation structures using a network approach
thesis_degree_str Master's
title An analysis of spatial percolation structures using a network approach
title_full An analysis of spatial percolation structures using a network approach
title_fullStr An analysis of spatial percolation structures using a network approach
title_full_unstemmed An analysis of spatial percolation structures using a network approach
title_short An analysis of spatial percolation structures using a network approach
title_sort analysis of spatial percolation structures using a network approach
topic Mathematics and Applied Mathematics
url http://hdl.handle.net/11427/4883
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AT fadulmohammedaltajmohammed analysisofspatialpercolationstructuresusinganetworkapproach