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Spatial dependency between a linear network and a point pattern

Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2020.

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Other Authors: Fabris-Rotelli, Inger Nicolette
Format: Thesis
Language:English
Published: University of Pretoria 2021
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access_status_str Open Access
author2 Fabris-Rotelli, Inger Nicolette
author_browse Fabris-Rotelli, Inger Nicolette
author_facet Fabris-Rotelli, Inger Nicolette
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2020.
format Thesis
id oai:repository.up.ac.za:2263/78556
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:14.350Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/78556 Spatial dependency between a linear network and a point pattern Fabris-Rotelli, Inger Nicolette u15223541@tuks.co.za Kunene, Thembinkosi UCTD Mathematical Statistics Spatial Statistics Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2020. In this mini-dissertation we discuss the spatial relationship between point processes and a linear network. As a starting point, we discuss basic spatial point processes and tests for first-order homogeneity. Following that, we discuss second-order properties of point processes in the form of Ripley's K-function for unmarked point patterns and the cross-K function for marked point patterns. We then get to the main focus of this mini-dissertation, that is, the spatial relationship between points and linear structures, particularly linear networks. Recently developed is a method to characterise the spatial relationship between points and linear networks by Comas et al. [13], similar to Ripley's K-function for point-to-point relationships. The non-stationarity of a linear network is of particular interest in how it affects the measurement of this spatial relationship, which has not been explicitly investigated in the literature before. To investigate this we consider the Poisson line process and how one might simulate a non-stationary line process. Furthermore, we discuss a mechanism to extend tests of first-order homogeneity of point patterns to line patterns. The non-stationary line process is used to model linear networks in the simulations conducted to determine the effect of this non-stationarity on the developed method, which was not covered in the original article [13]. The methodology is developed and tested on a real data set. ESRI South Africa Statistics MSc (Advanced Data Analytics) Unrestricted 2021-02-15T08:44:36Z 2021-02-15T08:44:36Z 2021-05-05 2020 Dissertation * A2021 http://hdl.handle.net/2263/78556 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Mathematical Statistics
Spatial Statistics
Spatial dependency between a linear network and a point pattern
title Spatial dependency between a linear network and a point pattern
title_full Spatial dependency between a linear network and a point pattern
title_fullStr Spatial dependency between a linear network and a point pattern
title_full_unstemmed Spatial dependency between a linear network and a point pattern
title_short Spatial dependency between a linear network and a point pattern
title_sort spatial dependency between a linear network and a point pattern
topic UCTD
Mathematical Statistics
Spatial Statistics
url http://hdl.handle.net/2263/78556