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Data Exploration with GIS Viewsheds and Social Network Analysis / Giles Oatley; Tom Crick; Ray Howell

Proceedings of 23rd GIS Research UK Conference

Swansea University Author: Crick, Tom

Abstract

We present a novel exploratory method combining line of sight visibility (viewshed analysis) and techniques from social network analysis to investigate archaeological data. At increasing distances different nodes are connected creating a set of networks, which are subsequently described using centra...

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Published in: Proceedings of 23rd GIS Research UK Conference
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa43756
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first_indexed 2018-09-11T03:59:23Z
last_indexed 2018-10-23T19:15:16Z
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spelling 2018-10-23T16:50:51Z v2 43756 2018-09-11 Data Exploration with GIS Viewsheds and Social Network Analysis Tom Crick Tom Crick true 0000-0001-5196-9389 false 200c66ef0fc55391f736f6e926fb4b99 9971fd6d74987b78a0d7fce128f8c721 z93Ri4T5hwMLTfh+6XG11n2HZhUyFASdV1DFdgIIhKs= 2018-09-11 EDUC We present a novel exploratory method combining line of sight visibility (viewshed analysis) and techniques from social network analysis to investigate archaeological data. At increasing distances different nodes are connected creating a set of networks, which are subsequently described using centrality measures and clustering coefficients. Networks with significant properties are examined in more detail. We use this method to investigate the placement of hillforts (nodes) in the Gwent region of south-east Wales, UK. We are able to determine distances that support significant transitions in network structure that could have significant archaeological validity. Conference contribution Proceedings of 23rd GIS Research UK Conference Geographic networks, archaeological nodes, viewshed analysis, data mining, social network analysis 15 4 2015 2015-04-15 23rd GIS Research UK Conference (GISRUK 2015) College of Arts and Humanities School of Education CAAH EDUC None None 2018-10-23T16:50:51Z 2018-09-11T00:46:54Z College of Arts and Humanities College of Arts and Humanities Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 Ray Howell 3 0043756-11092018004753.pdf gisruk2015.pdf 2018-09-11T00:47:53Z Output 1148208 application/pdf AM true Updated Copyright 23/10/2018 2018-09-11T00:00:00 true eng
title Data Exploration with GIS Viewsheds and Social Network Analysis
spellingShingle Data Exploration with GIS Viewsheds and Social Network Analysis
Crick, Tom
title_short Data Exploration with GIS Viewsheds and Social Network Analysis
title_full Data Exploration with GIS Viewsheds and Social Network Analysis
title_fullStr Data Exploration with GIS Viewsheds and Social Network Analysis
title_full_unstemmed Data Exploration with GIS Viewsheds and Social Network Analysis
title_sort Data Exploration with GIS Viewsheds and Social Network Analysis
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Crick, Tom
author Crick, Tom
author2 Giles Oatley
Tom Crick
Ray Howell
format Conference contribution
container_title Proceedings of 23rd GIS Research UK Conference
publishDate 2015
institution Swansea University
college_str College of Arts and Humanities
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hierarchy_top_title College of Arts and Humanities
hierarchy_parent_id collegeofartsandhumanities
hierarchy_parent_title College of Arts and Humanities
department_str College of Arts and Humanities{{{_:::_}}}College of Arts and Humanities{{{_:::_}}}College of Arts and Humanities
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description We present a novel exploratory method combining line of sight visibility (viewshed analysis) and techniques from social network analysis to investigate archaeological data. At increasing distances different nodes are connected creating a set of networks, which are subsequently described using centrality measures and clustering coefficients. Networks with significant properties are examined in more detail. We use this method to investigate the placement of hillforts (nodes) in the Gwent region of south-east Wales, UK. We are able to determine distances that support significant transitions in network structure that could have significant archaeological validity.
published_date 2015-04-15T13:50:56Z
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