No Cover Image

Conference Paper/Proceeding/Abstract 780 views 86 downloads

Data Exploration with GIS Viewsheds and Social Network Analysis

Giles Oatley, Tom Crick Orcid Logo, Ray Howell

Proceedings of 23rd GIS Research UK Conference

Swansea University Author: Tom Crick Orcid Logo

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...

Full description

Published in: Proceedings of 23rd GIS Research UK Conference
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa43756
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-09-11T03:59:23Z
last_indexed 2023-01-11T14:20:29Z
id cronfa43756
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-12-18T17:44:08.7998994</datestamp><bib-version>v2</bib-version><id>43756</id><entry>2018-09-11</entry><title>Data Exploration with GIS Viewsheds and Social Network Analysis</title><swanseaauthors><author><sid>200c66ef0fc55391f736f6e926fb4b99</sid><ORCID>0000-0001-5196-9389</ORCID><firstname>Tom</firstname><surname>Crick</surname><name>Tom Crick</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-09-11</date><deptcode>EDUC</deptcode><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 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.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal>Proceedings of 23rd GIS Research UK Conference</journal><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Geographic networks, archaeological nodes, viewshed analysis, data mining, social network analysis</keywords><publishedDay>15</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-04-15</publishedDate><doi/><url/><notes>23rd GIS Research UK Conference (GISRUK 2015)</notes><college>COLLEGE NANME</college><department>Education</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EDUC</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-12-18T17:44:08.7998994</lastEdited><Created>2018-09-11T00:46:54.0884818</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Social Sciences - Education and Childhood Studies</level></path><authors><author><firstname>Giles</firstname><surname>Oatley</surname><order>1</order></author><author><firstname>Tom</firstname><surname>Crick</surname><orcid>0000-0001-5196-9389</orcid><order>2</order></author><author><firstname>Ray</firstname><surname>Howell</surname><order>3</order></author></authors><documents><document><filename>0043756-11092018004753.pdf</filename><originalFilename>gisruk2015.pdf</originalFilename><uploaded>2018-09-11T00:47:53.8530000</uploaded><type>Output</type><contentLength>1148208</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-09-11T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 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
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title 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
document_store_str 1
active_str 0
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
_version_ 1763752757957754880
score 11.014067

Similar Items