{"id":"https://openalex.org/W2772287168","doi":"https://doi.org/10.1109/igarss.2017.8128264","title":"An visual analytics approach to explore criminal patterns based on multidimensional data","display_name":"An visual analytics approach to explore criminal patterns based on multidimensional data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772287168","doi":"https://doi.org/10.1109/igarss.2017.8128264","mag":"2772287168"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8128264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005505069","display_name":"Daichao Li","orcid":"https://orcid.org/0000-0003-1702-1564"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daichao Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Shijingshan District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Shijingshan District, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350007","display_name":"Yingjie Wang","orcid":"https://orcid.org/0000-0002-6393-763X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Shijingshan District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Shijingshan District, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748387","display_name":"Sheng Wu","orcid":"https://orcid.org/0000-0001-7381-1937"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wu","raw_affiliation_strings":["Spatial Information Reaserch Center of Fujian, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spatial Information Reaserch Center of Fujian, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113300821","display_name":"Junhui Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui Qi","raw_affiliation_strings":["University of Chinese Academy of Sciences, Shijingshan District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Shijingshan District, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100685263","display_name":"Tingting Wang","orcid":"https://orcid.org/0000-0002-2302-8837"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Shijingshan District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Shijingshan District, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5563","last_page":"5566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9146999716758728,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.8091735243797302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484616041183472},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5359704494476318},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.4936862885951996},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4852990508079529},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4825996160507202},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.47283703088760376},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.45115765929222107},{"id":"https://openalex.org/keywords/cultural-analytics","display_name":"Cultural analytics","score":0.4281178116798401},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41103076934814453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27932143211364746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2668111324310303},{"id":"https://openalex.org/keywords/semantic-analytics","display_name":"Semantic analytics","score":0.11053121089935303}],"concepts":[{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.8091735243797302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484616041183472},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5359704494476318},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.4936862885951996},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4852990508079529},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4825996160507202},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47283703088760376},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.45115765929222107},{"id":"https://openalex.org/C545860419","wikidata":"https://www.wikidata.org/wiki/Q5193251","display_name":"Cultural analytics","level":5,"score":0.4281178116798401},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41103076934814453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27932143211364746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2668111324310303},{"id":"https://openalex.org/C148792806","wikidata":"https://www.wikidata.org/wiki/Q7449046","display_name":"Semantic analytics","level":4,"score":0.11053121089935303},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8128264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1506965148","https://openalex.org/W2022709849","https://openalex.org/W2028001931","https://openalex.org/W2097481508","https://openalex.org/W2115722022","https://openalex.org/W2239465886","https://openalex.org/W2335877550","https://openalex.org/W2527276559"],"related_works":["https://openalex.org/W2148525144","https://openalex.org/W1813318416","https://openalex.org/W3173715284","https://openalex.org/W1554508209","https://openalex.org/W2067923524","https://openalex.org/W2074193037","https://openalex.org/W2138646726","https://openalex.org/W2153940791","https://openalex.org/W2186165905","https://openalex.org/W3081541487"],"abstract_inverted_index":{"Comprehensive":[0],"crime":[1,36],"data":[2,37,48],"sets,":[3],"which":[4],"contain":[5],"multidimensional":[6,47],"numeric":[7],"attributes,":[8,22],"have":[9],"been":[10],"collected":[11],"over":[12],"time.":[13],"To":[14],"understand":[15],"the":[16,35],"pattern":[17],"and":[18,53,59],"trend":[19],"of":[20,38,65],"such":[21],"this":[23],"paper":[24],"presents":[25],"an":[26],"interactive":[27],"system":[28],"using":[29],"visual":[30],"analytics":[31],"approach":[32],"to":[33,56],"explore":[34],"Fuzhou,":[39],"China":[40],"in":[41,50],"2011.":[42],"Specifically,":[43],"users":[44],"could":[45],"analyze":[46],"simultaneously":[49],"various":[51],"views":[52],"be":[54],"able":[55],"discover":[57],"high-relevant":[58],"valuable":[60],"information":[61],"through":[62],"a":[63],"variety":[64],"combination.":[66]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}