Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

A new similarity measure for spatial linear networks

Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023.

Saved in:
Bibliographic Details
Other Authors: Fabris-Rotelli, Inger Nicolette
Format: Thesis
Language:English
Published: University of Pretoria 2023
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613607462699008
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 © 2023 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 Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023.
format Thesis
id oai:repository.up.ac.za:2263/93472
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:50.049Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
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:2263/93472 A new similarity measure for spatial linear networks Fabris-Rotelli, Inger Nicolette coetzeemila@gmail.com Thiebe, Renate Stander, Rene Coetzee, Mila UCTD Mobility networks Linear networks Informal road networks Spatial similarity Structural Similarity Index (SSIM) Natural and agricultural sciences theses SDG-09 SDG-09: Industry, innovation and infrastructure Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023. A linear network is a combination of line segments, or edges, that run between their defined endpoints, or nodes. They have become increasingly prevalent within spatial statistics due to the potential for representing systems from various fields as linear networks. One specific area of study within linear networks is understanding how they interact with one another and whether spatial similarity correlates with any underlying causal relationships. This line of research, however, remains limited due to the lack of a robust spatial similarity tests suited for linear networks. This paper therefore develops a new linear network spatial similarity test that specifically takes into account the spatial context of two linear networks and allows for spatially dependent variations in similarity. Different characteristics of the new test are demon- strated in two separate simulation studies. The first simulation study tests the overall performance. The second simulation study shows the benefit of the newly proposed test compared to an alternative method. Finally, the test is applied to real-world informal road and mobility networks across north- western Namibia to test whether mobility routes in rural areas are similar to existing infrastructure, and how the degree of similarity varies across regions. Sub-analyses are also conducted to investigate the effect of road conditions, seasons and road density on the spatial similarity between the two networks. DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS) under grant #2022-018-MAC-Road Statistics MSc (Advanced Data Analytics) Unrestricted Faculty of Natural and Agricultural Sciences SDG-09: Industry, innovation and infrastructure 2023-11-28T06:52:08Z 2023-11-28T06:52:08Z 2024-04 2023 Mini Dissertation * A2024 http://hdl.handle.net/2263/93472 DOI: https://doi.org/10.25403/UPresearchdata.24637998.v1 10.25403/UPresearchdata.24637998 en © 2023 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
Mobility networks
Linear networks
Informal road networks
Spatial similarity
Structural Similarity Index (SSIM)
Natural and agricultural sciences theses SDG-09
SDG-09: Industry, innovation and infrastructure
A new similarity measure for spatial linear networks
title A new similarity measure for spatial linear networks
title_full A new similarity measure for spatial linear networks
title_fullStr A new similarity measure for spatial linear networks
title_full_unstemmed A new similarity measure for spatial linear networks
title_short A new similarity measure for spatial linear networks
title_sort new similarity measure for spatial linear networks
topic UCTD
Mobility networks
Linear networks
Informal road networks
Spatial similarity
Structural Similarity Index (SSIM)
Natural and agricultural sciences theses SDG-09
SDG-09: Industry, innovation and infrastructure
url http://hdl.handle.net/2263/93472