{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/121228"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/121228","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Network dual K function: Exact statistical methods for analyzing co-location on street networks","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01","abstract_has_math":false,"creators":["Morioka, Wataru"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Geography","degree_department":null,"school":null,"contributors":["Kwan, Mei-Po","McLafferty, Sara","Cidell, Julie","Kolak, Marynia"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-08","date_published":"2023-08","updated_at":"2026-07-22T22:24:57Z","subjects":["Network Spatial Analysis","Point Pattern Analysis","Gis"],"languages":["en","eng"],"rights":["Copyright 2023 Wataru Morioka"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/121228","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kwan, Mei-Po","McLafferty, Sara","Cidell, Julie","Kolak, Marynia"]},{"key":"dc:creator","label":"Author","values":["Morioka, Wataru"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-08","2023-07-10"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geography"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Network Spatial Analysis","Point Pattern Analysis","Gis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Wataru Morioka"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/121228"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01","The student, Wataru Morioka, accepted the attached license on 2023-07-07 at 10:29.","The student, Wataru Morioka, submitted this Dissertation for approval on 2023-07-07 at 10:53.","This Dissertation was approved for publication on 2023-07-10 at 16:32.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19551 on 2023-12-04 at 17:31:30","In many central districts in cities across the world, different types of retail outlets and service firms form clusters (i.e., co-location) for benefits of spatial agglomeration. To analyze such spatial phenomena, the cross K function has been widely used. However, this method and other existing methods are likely to be unsuitable for analyzing co-locations in a micro-scale space due to some limitations. To precisely analyze the micro-scale co-location, this dissertation develops a new statistical measure named network dual K function. Compared to the ordinary cross K function, the proposed method has distinctive features such as assuming network-constrained space and using an exact statistical formula for a test. This dissertation proposes a set of three methods of network dual K function: global, local, and incremental methods. Each method corresponds with Chapters 2, 3, and 4 of this dissertation. The proposed methods are applied to various types of stores in trendy districts in Tokyo to demonstrate the usefulness of the methods for studies on economic geography, and to improve the understanding of urban agglomeration. In addition, this research project highlights the significance of conducting network spatial analysis."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Network dual K function: Exact statistical methods for analyzing co-location on street networks"]}]}],"canonical_facts":{"dc:contributor":["Kwan, Mei-Po","McLafferty, Sara","Cidell, Julie","Kolak, Marynia"],"dc:creator":["Morioka, Wataru"],"dc:date":["2023-08","2023-07-10"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01","The student, Wataru Morioka, accepted the attached license on 2023-07-07 at 10:29.","The student, Wataru Morioka, submitted this Dissertation for approval on 2023-07-07 at 10:53.","This Dissertation was approved for publication on 2023-07-10 at 16:32.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19551 on 2023-12-04 at 17:31:30","In many central districts in cities across the world, different types of retail outlets and service firms form clusters (i.e., co-location) for benefits of spatial agglomeration. To analyze such spatial phenomena, the cross K function has been widely used. However, this method and other existing methods are likely to be unsuitable for analyzing co-locations in a micro-scale space due to some limitations. To precisely analyze the micro-scale co-location, this dissertation develops a new statistical measure named network dual K function. Compared to the ordinary cross K function, the proposed method has distinctive features such as assuming network-constrained space and using an exact statistical formula for a test. This dissertation proposes a set of three methods of network dual K function: global, local, and incremental methods. Each method corresponds with Chapters 2, 3, and 4 of this dissertation. The proposed methods are applied to various types of stores in trendy districts in Tokyo to demonstrate the usefulness of the methods for studies on economic geography, and to improve the understanding of urban agglomeration. In addition, this research project highlights the significance of conducting network spatial analysis."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/121228"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Wataru Morioka"],"dc:subject":["Network Spatial Analysis","Point Pattern Analysis","Gis"],"dc:title":["Network dual K function: Exact statistical methods for analyzing co-location on street networks"],"dc:type":["text"],"thesis:degree_discipline":["Geography"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}