Mass grave localization prediction with geographical information systems in Guatemala and future impacts

Conducting physical searches for mass grave locations based on anecdotal evidence is a time‐consuming and resource‐intensive endeavor in circumstances that often pose a threat to personal safety. The development of tools and procedures to speed such searches can greatly reduce the risk involved, inc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of forensic sciences 2022-01, Vol.67 (1), p.112-127
Hauptverfasser: Santillán, Perla, Edwards, Scott, Swall, Jenise, Simmons, Tal
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 127
container_issue 1
container_start_page 112
container_title Journal of forensic sciences
container_volume 67
creator Santillán, Perla
Edwards, Scott
Swall, Jenise
Simmons, Tal
description Conducting physical searches for mass grave locations based on anecdotal evidence is a time‐consuming and resource‐intensive endeavor in circumstances that often pose a threat to personal safety. The development of tools and procedures to speed such searches can greatly reduce the risk involved, increase the number of individuals whose remains are recovered and identified, and more importantly, reunite these remains with their loved ones to provide them with a proper burial. Geographic information systems (GIS) software, which can analyze and manipulate the spatial characteristics of known mass grave data, represents a powerful tool that can be used to predict new mass grave locations and increase the speed and efficiency with which they are investigated. Using the open source QGIS project, existing mass grave locations in Guatemala were analyzed based on their distance from and change in elevation relative to roads, streets, waterways, points of interest, and possible villages/towns. Statistical and geostatistical analyses performed to detect relationships among the variables resulted in patterns that warrant further study and can be used to further narrow areas of investigation.
doi_str_mv 10.1111/1556-4029.14889
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2577731401</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2615184862</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4129-4e2ffe68ac0a3579f163dd40d47b99ffeede9369952c277a053f2c8a161f24b93</originalsourceid><addsrcrecordid>eNqFkUtPAyEUhYnR2PpYuzMkbtxMCwzMDEvT2Kqp6UbXhDLQYuYlzNjUXy_t1C7cyIabw8fJvecCcIPRCIczxowlEUWEjzDNMn4ChkflFAwRIiTCmGcDcOH9B0IowQk-B4OYsozFnA7B-lV6D1dOfmlY1EoW9lu2tq5g43Ru1b7c2HYNV7oOVLO2gYG2MrUre9BvfatLHzQ462QoZSGhrHJourZzGtqykar1V-DMyMLr68N9Cd6nj2-Tp2i-mD1PHuaRopjwiGpijE4yqZCMWcoNTuI8pyin6ZLz8KRzzeOEc0YUSVOJWGyIymSYyxC65PEluO99G1d_dtq3orRe6aKQla47LwhL0zTGFOGA3v1BP-rOVaE7QRLMcEazhARq3FPK1d47bUTjbCndVmAkdksQu8jFLnKxX0L4cXvw7Zalzo_8b-oBYD2wsYXe_ucnXqaL3vgHT6ySKg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2615184862</pqid></control><display><type>article</type><title>Mass grave localization prediction with geographical information systems in Guatemala and future impacts</title><source>Wiley Online Library All Journals</source><creator>Santillán, Perla ; Edwards, Scott ; Swall, Jenise ; Simmons, Tal</creator><creatorcontrib>Santillán, Perla ; Edwards, Scott ; Swall, Jenise ; Simmons, Tal</creatorcontrib><description>Conducting physical searches for mass grave locations based on anecdotal evidence is a time‐consuming and resource‐intensive endeavor in circumstances that often pose a threat to personal safety. The development of tools and procedures to speed such searches can greatly reduce the risk involved, increase the number of individuals whose remains are recovered and identified, and more importantly, reunite these remains with their loved ones to provide them with a proper burial. Geographic information systems (GIS) software, which can analyze and manipulate the spatial characteristics of known mass grave data, represents a powerful tool that can be used to predict new mass grave locations and increase the speed and efficiency with which they are investigated. Using the open source QGIS project, existing mass grave locations in Guatemala were analyzed based on their distance from and change in elevation relative to roads, streets, waterways, points of interest, and possible villages/towns. Statistical and geostatistical analyses performed to detect relationships among the variables resulted in patterns that warrant further study and can be used to further narrow areas of investigation.</description><identifier>ISSN: 0022-1198</identifier><identifier>EISSN: 1556-4029</identifier><identifier>DOI: 10.1111/1556-4029.14889</identifier><identifier>PMID: 34585394</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Elevation ; Geographic information systems ; geostatistics ; Guatemala ; Information systems ; location prediction ; mass graves ; open source GIS ; QGIS ; Searching ; Waterways</subject><ispartof>Journal of forensic sciences, 2022-01, Vol.67 (1), p.112-127</ispartof><rights>2021 American Academy of Forensic Sciences.</rights><rights>2022 American Academy of Forensic Sciences</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4129-4e2ffe68ac0a3579f163dd40d47b99ffeede9369952c277a053f2c8a161f24b93</citedby><cites>FETCH-LOGICAL-c4129-4e2ffe68ac0a3579f163dd40d47b99ffeede9369952c277a053f2c8a161f24b93</cites><orcidid>0000-0001-5699-1286</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1556-4029.14889$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1556-4029.14889$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34585394$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Santillán, Perla</creatorcontrib><creatorcontrib>Edwards, Scott</creatorcontrib><creatorcontrib>Swall, Jenise</creatorcontrib><creatorcontrib>Simmons, Tal</creatorcontrib><title>Mass grave localization prediction with geographical information systems in Guatemala and future impacts</title><title>Journal of forensic sciences</title><addtitle>J Forensic Sci</addtitle><description>Conducting physical searches for mass grave locations based on anecdotal evidence is a time‐consuming and resource‐intensive endeavor in circumstances that often pose a threat to personal safety. The development of tools and procedures to speed such searches can greatly reduce the risk involved, increase the number of individuals whose remains are recovered and identified, and more importantly, reunite these remains with their loved ones to provide them with a proper burial. Geographic information systems (GIS) software, which can analyze and manipulate the spatial characteristics of known mass grave data, represents a powerful tool that can be used to predict new mass grave locations and increase the speed and efficiency with which they are investigated. Using the open source QGIS project, existing mass grave locations in Guatemala were analyzed based on their distance from and change in elevation relative to roads, streets, waterways, points of interest, and possible villages/towns. Statistical and geostatistical analyses performed to detect relationships among the variables resulted in patterns that warrant further study and can be used to further narrow areas of investigation.</description><subject>Elevation</subject><subject>Geographic information systems</subject><subject>geostatistics</subject><subject>Guatemala</subject><subject>Information systems</subject><subject>location prediction</subject><subject>mass graves</subject><subject>open source GIS</subject><subject>QGIS</subject><subject>Searching</subject><subject>Waterways</subject><issn>0022-1198</issn><issn>1556-4029</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkUtPAyEUhYnR2PpYuzMkbtxMCwzMDEvT2Kqp6UbXhDLQYuYlzNjUXy_t1C7cyIabw8fJvecCcIPRCIczxowlEUWEjzDNMn4ChkflFAwRIiTCmGcDcOH9B0IowQk-B4OYsozFnA7B-lV6D1dOfmlY1EoW9lu2tq5g43Ru1b7c2HYNV7oOVLO2gYG2MrUre9BvfatLHzQ462QoZSGhrHJourZzGtqykar1V-DMyMLr68N9Cd6nj2-Tp2i-mD1PHuaRopjwiGpijE4yqZCMWcoNTuI8pyin6ZLz8KRzzeOEc0YUSVOJWGyIymSYyxC65PEluO99G1d_dtq3orRe6aKQla47LwhL0zTGFOGA3v1BP-rOVaE7QRLMcEazhARq3FPK1d47bUTjbCndVmAkdksQu8jFLnKxX0L4cXvw7Zalzo_8b-oBYD2wsYXe_ucnXqaL3vgHT6ySKg</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Santillán, Perla</creator><creator>Edwards, Scott</creator><creator>Swall, Jenise</creator><creator>Simmons, Tal</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K7.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5699-1286</orcidid></search><sort><creationdate>202201</creationdate><title>Mass grave localization prediction with geographical information systems in Guatemala and future impacts</title><author>Santillán, Perla ; Edwards, Scott ; Swall, Jenise ; Simmons, Tal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4129-4e2ffe68ac0a3579f163dd40d47b99ffeede9369952c277a053f2c8a161f24b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Elevation</topic><topic>Geographic information systems</topic><topic>geostatistics</topic><topic>Guatemala</topic><topic>Information systems</topic><topic>location prediction</topic><topic>mass graves</topic><topic>open source GIS</topic><topic>QGIS</topic><topic>Searching</topic><topic>Waterways</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Santillán, Perla</creatorcontrib><creatorcontrib>Edwards, Scott</creatorcontrib><creatorcontrib>Swall, Jenise</creatorcontrib><creatorcontrib>Simmons, Tal</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of forensic sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Santillán, Perla</au><au>Edwards, Scott</au><au>Swall, Jenise</au><au>Simmons, Tal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mass grave localization prediction with geographical information systems in Guatemala and future impacts</atitle><jtitle>Journal of forensic sciences</jtitle><addtitle>J Forensic Sci</addtitle><date>2022-01</date><risdate>2022</risdate><volume>67</volume><issue>1</issue><spage>112</spage><epage>127</epage><pages>112-127</pages><issn>0022-1198</issn><eissn>1556-4029</eissn><abstract>Conducting physical searches for mass grave locations based on anecdotal evidence is a time‐consuming and resource‐intensive endeavor in circumstances that often pose a threat to personal safety. The development of tools and procedures to speed such searches can greatly reduce the risk involved, increase the number of individuals whose remains are recovered and identified, and more importantly, reunite these remains with their loved ones to provide them with a proper burial. Geographic information systems (GIS) software, which can analyze and manipulate the spatial characteristics of known mass grave data, represents a powerful tool that can be used to predict new mass grave locations and increase the speed and efficiency with which they are investigated. Using the open source QGIS project, existing mass grave locations in Guatemala were analyzed based on their distance from and change in elevation relative to roads, streets, waterways, points of interest, and possible villages/towns. Statistical and geostatistical analyses performed to detect relationships among the variables resulted in patterns that warrant further study and can be used to further narrow areas of investigation.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34585394</pmid><doi>10.1111/1556-4029.14889</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-5699-1286</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0022-1198
ispartof Journal of forensic sciences, 2022-01, Vol.67 (1), p.112-127
issn 0022-1198
1556-4029
language eng
recordid cdi_proquest_miscellaneous_2577731401
source Wiley Online Library All Journals
subjects Elevation
Geographic information systems
geostatistics
Guatemala
Information systems
location prediction
mass graves
open source GIS
QGIS
Searching
Waterways
title Mass grave localization prediction with geographical information systems in Guatemala and future impacts
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T02%3A51%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mass%20grave%20localization%20prediction%20with%20geographical%20information%20systems%20in%20Guatemala%20and%20future%20impacts&rft.jtitle=Journal%20of%20forensic%20sciences&rft.au=Santill%C3%A1n,%20Perla&rft.date=2022-01&rft.volume=67&rft.issue=1&rft.spage=112&rft.epage=127&rft.pages=112-127&rft.issn=0022-1198&rft.eissn=1556-4029&rft_id=info:doi/10.1111/1556-4029.14889&rft_dat=%3Cproquest_cross%3E2615184862%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2615184862&rft_id=info:pmid/34585394&rfr_iscdi=true