Conference Paper/Proceeding/Abstract 915 views 97 downloads
Data Exploration with GIS Viewsheds and Social Network Analysis
Proceedings of 23rd GIS Research UK Conference
Swansea University Author: Tom Crick
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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...
Published in: | Proceedings of 23rd GIS Research UK Conference |
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2015
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URI: | https://cronfa.swan.ac.uk/Record/cronfa43756 |
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2022-12-18T17:44:08.7998994 v2 43756 2018-09-11 Data Exploration with GIS Viewsheds and Social Network Analysis 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 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 Paper/Proceeding/Abstract 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 NANME Education COLLEGE CODE EDUC Swansea University 2022-12-18T17:44:08.7998994 2018-09-11T00:46:54.0884818 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 Ray Howell 3 0043756-11092018004753.pdf gisruk2015.pdf 2018-09-11T00:47:53.8530000 Output 1148208 application/pdf Accepted Manuscript true 2018-09-11T00:00:00.0000000 true eng |
title |
Data Exploration with GIS Viewsheds and Social Network Analysis |
spellingShingle |
Data Exploration with GIS Viewsheds and Social Network Analysis Tom Crick |
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_***_Tom Crick |
author |
Tom Crick |
author2 |
Giles Oatley Tom Crick Ray Howell |
format |
Conference Paper/Proceeding/Abstract |
container_title |
Proceedings of 23rd GIS Research UK Conference |
publishDate |
2015 |
institution |
Swansea University |
college_str |
Faculty of Humanities and Social Sciences |
hierarchytype |
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facultyofhumanitiesandsocialsciences |
hierarchy_top_title |
Faculty of Humanities and Social Sciences |
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facultyofhumanitiesandsocialsciences |
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Faculty of Humanities and Social Sciences |
department_str |
School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies |
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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 |
2015-04-15T03:55:05Z |
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1763752757957754880 |
score |
11.037056 |