Probabilistic Scaling of Spatial Distance Judgments

Probabilistic Scaling of Spatial Distance Judgments

A "probabilistic" multidimensional "scaling" model, PROSCAL, is described and evaluated for use with distance judgments among spatial stimuli. The model is compared with deterministic nonmetric models and is shown to do a superior job of estimating the coordinates of the stimuli....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Geographical analysis 1981-01, Vol.13 (1), p.21-37
Hauptverfasser: MacKay, David B., Zinnes, Joseph L.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 37
container_issue 1
container_start_page 21
container_title Geographical analysis
container_volume 13
creator MacKay, David B.
Zinnes, Joseph L.
description A "probabilistic" multidimensional "scaling" model, PROSCAL, is described and evaluated for use with distance judgments among spatial stimuli. The model is compared with deterministic nonmetric models and is shown to do a superior job of estimating the coordinates of the stimuli. In addition, it also estimates the uncertainty that is associated with each stimulus. Evaluation of the model is by means of Monte Carlo and empirical experiments.
doi_str_mv 10.1111/j.1538-4632.1981.tb00712.x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1311634576</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1311634576</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3972-9e0139c16f64d7635f9b4f1aca85f7f1e88a095292419d63f8c46a432d488db23</originalsourceid><addsrcrecordid>eNqVkFFLwzAUhYMoOKf_oehza25umia-yNA5laHC9DmkaTJaunU2HW7_3pYN370v98K55xz4CLkGmkA_t1UCKcqYC2QJKAlJl1OaAUt2J2T0J52SEaUg4gwFnpOLECpKKcsARwQ_2iY3eVmXoStttLCmLtfLqPHRYmO60tTRY6-YtXXR67ZYrty6C5fkzJs6uKvjHpOvp-nnw3M8f5-9PEzmsUWVsVg5CqgsCC94kQlMvcq5B2ONTH3mwUlpqEqZYhxUIdBLy4XhyAouZZEzHJObQ-6mbb63LnS6arbtuq_UgAACedrHjsnd4cu2TQit83rTlivT7jVQPUDSlR5I6IGEHiDpIyS96833B_NPWbv9P5x6Np289Rf-AkDMbTw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1311634576</pqid></control><display><type>article</type><title>Probabilistic Scaling of Spatial Distance Judgments</title><source>Periodicals Index Online</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>MacKay, David B. ; Zinnes, Joseph L.</creator><creatorcontrib>MacKay, David B. ; Zinnes, Joseph L.</creatorcontrib><description>A "probabilistic" multidimensional "scaling" model, PROSCAL, is described and evaluated for use with distance judgments among spatial stimuli. The model is compared with deterministic nonmetric models and is shown to do a superior job of estimating the coordinates of the stimuli. In addition, it also estimates the uncertainty that is associated with each stimulus. Evaluation of the model is by means of Monte Carlo and empirical experiments.</description><identifier>ISSN: 0016-7363</identifier><identifier>EISSN: 1538-4632</identifier><identifier>DOI: 10.1111/j.1538-4632.1981.tb00712.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><ispartof>Geographical analysis, 1981-01, Vol.13 (1), p.21-37</ispartof><rights>1981 The Ohio State University</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3972-9e0139c16f64d7635f9b4f1aca85f7f1e88a095292419d63f8c46a432d488db23</citedby><cites>FETCH-LOGICAL-c3972-9e0139c16f64d7635f9b4f1aca85f7f1e88a095292419d63f8c46a432d488db23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27869,27924,27925</link.rule.ids></links><search><creatorcontrib>MacKay, David B.</creatorcontrib><creatorcontrib>Zinnes, Joseph L.</creatorcontrib><title>Probabilistic Scaling of Spatial Distance Judgments</title><title>Geographical analysis</title><description>A "probabilistic" multidimensional "scaling" model, PROSCAL, is described and evaluated for use with distance judgments among spatial stimuli. The model is compared with deterministic nonmetric models and is shown to do a superior job of estimating the coordinates of the stimuli. In addition, it also estimates the uncertainty that is associated with each stimulus. Evaluation of the model is by means of Monte Carlo and empirical experiments.</description><issn>0016-7363</issn><issn>1538-4632</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1981</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNqVkFFLwzAUhYMoOKf_oehza25umia-yNA5laHC9DmkaTJaunU2HW7_3pYN370v98K55xz4CLkGmkA_t1UCKcqYC2QJKAlJl1OaAUt2J2T0J52SEaUg4gwFnpOLECpKKcsARwQ_2iY3eVmXoStttLCmLtfLqPHRYmO60tTRY6-YtXXR67ZYrty6C5fkzJs6uKvjHpOvp-nnw3M8f5-9PEzmsUWVsVg5CqgsCC94kQlMvcq5B2ONTH3mwUlpqEqZYhxUIdBLy4XhyAouZZEzHJObQ-6mbb63LnS6arbtuq_UgAACedrHjsnd4cu2TQit83rTlivT7jVQPUDSlR5I6IGEHiDpIyS96833B_NPWbv9P5x6Np289Rf-AkDMbTw</recordid><startdate>198101</startdate><enddate>198101</enddate><creator>MacKay, David B.</creator><creator>Zinnes, Joseph L.</creator><general>Blackwell Publishing Ltd</general><general>Ohio State University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IZSXY</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope></search><sort><creationdate>198101</creationdate><title>Probabilistic Scaling of Spatial Distance Judgments</title><author>MacKay, David B. ; Zinnes, Joseph L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3972-9e0139c16f64d7635f9b4f1aca85f7f1e88a095292419d63f8c46a432d488db23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1981</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MacKay, David B.</creatorcontrib><creatorcontrib>Zinnes, Joseph L.</creatorcontrib><collection>CrossRef</collection><collection>Periodicals Index Online Segment 30</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access &amp; Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access &amp; Build (Plan A) - APAC</collection><collection>Primary Sources Access &amp; Build (Plan A) - Canada</collection><collection>Primary Sources Access &amp; Build (Plan A) - West</collection><collection>Primary Sources Access &amp; Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access &amp; Build (Plan A) - Midwest</collection><collection>Primary Sources Access &amp; Build (Plan A) - North Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - Northeast</collection><collection>Primary Sources Access &amp; Build (Plan A) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><jtitle>Geographical analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MacKay, David B.</au><au>Zinnes, Joseph L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic Scaling of Spatial Distance Judgments</atitle><jtitle>Geographical analysis</jtitle><date>1981-01</date><risdate>1981</risdate><volume>13</volume><issue>1</issue><spage>21</spage><epage>37</epage><pages>21-37</pages><issn>0016-7363</issn><eissn>1538-4632</eissn><abstract>A "probabilistic" multidimensional "scaling" model, PROSCAL, is described and evaluated for use with distance judgments among spatial stimuli. The model is compared with deterministic nonmetric models and is shown to do a superior job of estimating the coordinates of the stimuli. In addition, it also estimates the uncertainty that is associated with each stimulus. Evaluation of the model is by means of Monte Carlo and empirical experiments.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1538-4632.1981.tb00712.x</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0016-7363
ispartof Geographical analysis, 1981-01, Vol.13 (1), p.21-37
issn 0016-7363
1538-4632
language eng
recordid cdi_proquest_journals_1311634576
source Periodicals Index Online; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
title Probabilistic Scaling of Spatial Distance Judgments
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T04%3A07%3A29IST&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=Probabilistic%20Scaling%20of%20Spatial%20Distance%20Judgments&rft.jtitle=Geographical%20analysis&rft.au=MacKay,%20David%20B.&rft.date=1981-01&rft.volume=13&rft.issue=1&rft.spage=21&rft.epage=37&rft.pages=21-37&rft.issn=0016-7363&rft.eissn=1538-4632&rft_id=info:doi/10.1111/j.1538-4632.1981.tb00712.x&rft_dat=%3Cproquest_cross%3E1311634576%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=1311634576&rft_id=info:pmid/&rfr_iscdi=true