{"id":"https://openalex.org/W2611651303","doi":"https://doi.org/10.1145/3017611.3017621","title":"Research of spatial distribution rules of mass incidents based on GIS","display_name":"Research of spatial distribution rules of mass incidents based on GIS","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2611651303","doi":"https://doi.org/10.1145/3017611.3017621","mag":"2611651303"},"language":"en","primary_location":{"id":"doi:10.1145/3017611.3017621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017611.3017621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management","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/A5043632566","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0003-2546-8403"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Jun","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019638123","display_name":"Xueming Shu","orcid":"https://orcid.org/0000-0001-7656-6690"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Xue-ming","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113193736","display_name":"Shifei Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Shi-fei","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045654590","display_name":"Tang Shi-yang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Shi-yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.6057259440422058},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5971316695213318},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"Spatial distribution","score":0.5831020474433899},{"id":"https://openalex.org/keywords/public-security","display_name":"Public security","score":0.5790643095970154},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.542586624622345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5230744481086731},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.5061001181602478},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48886507749557495},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.4873815178871155},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47176340222358704},{"id":"https://openalex.org/keywords/economies-of-agglomeration","display_name":"Economies of agglomeration","score":0.4409685432910919},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4376601576805115},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.43326547741889954},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4104534983634949},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.38881179690361023},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3259792923927307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1986018419265747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1793200671672821},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.17717668414115906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17369693517684937},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16035345196723938},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12629354000091553}],"concepts":[{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6057259440422058},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5971316695213318},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.5831020474433899},{"id":"https://openalex.org/C2986045029","wikidata":"https://www.wikidata.org/wiki/Q294240","display_name":"Public security","level":2,"score":0.5790643095970154},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.542586624622345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5230744481086731},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.5061001181602478},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48886507749557495},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.4873815178871155},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47176340222358704},{"id":"https://openalex.org/C131850264","wikidata":"https://www.wikidata.org/wiki/Q383056","display_name":"Economies of agglomeration","level":2,"score":0.4409685432910919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4376601576805115},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.43326547741889954},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4104534983634949},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.38881179690361023},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3259792923927307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1986018419265747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1793200671672821},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.17717668414115906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17369693517684937},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16035345196723938},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12629354000091553},{"id":"https://openalex.org/C3116431","wikidata":"https://www.wikidata.org/wiki/Q31728","display_name":"Public administration","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3017611.3017621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017611.3017621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W563646854","https://openalex.org/W1499451591","https://openalex.org/W1967137980","https://openalex.org/W1973749534","https://openalex.org/W2051821701","https://openalex.org/W2118898434","https://openalex.org/W2131586477","https://openalex.org/W2795846212","https://openalex.org/W2967570265"],"related_works":["https://openalex.org/W2411761929","https://openalex.org/W2029664475","https://openalex.org/W2348190688","https://openalex.org/W2359234221","https://openalex.org/W2348078813","https://openalex.org/W2375543237","https://openalex.org/W2414855069","https://openalex.org/W3030744205","https://openalex.org/W2355701312","https://openalex.org/W2349780717"],"abstract_inverted_index":{"The":[0,39],"research":[1,54],"of":[2,24,46,63,72,81,100,109],"hot-spots":[3,95],"is":[4,42],"an":[5],"important":[6],"subject":[7],"in":[8,75],"public":[9,47],"safety":[10,48],"field":[11],"as":[12,14],"well":[13],"GIS":[15],"system":[16],"application,":[17],"it":[18],"reveals":[19],"the":[20,36,61,68,78,86,98,105],"spatial":[21,57,69,87,101,106],"distribution":[22,58,70,107],"law":[23,108],"crime":[25],"and":[26,83,89,96],"help":[27],"develop":[28],"targeted":[29],"security":[30],"preventive":[31],"strategy,":[32],"providing":[33],"safeguards":[34],"for":[35],"whole":[37],"society.":[38],"mass":[40,73],"incident":[41],"a":[43],"special":[44],"kind":[45],"incident,":[49],"but":[50],"there":[51],"are":[52],"little":[53],"on":[55,85],"its":[56],"rules":[59,71],"from":[60,77],"perspective":[62],"geography.":[64],"This":[65],"article":[66],"analyzes":[67],"incidents":[74],"China":[76],"macro":[79],"point":[80],"view":[82],"based":[84],"autocorrelation":[88],"Kernel":[90],"density":[91],"estimation,":[92],"then":[93],"finds":[94],"calculates":[97],"degree":[99],"agglomeration":[102],"to":[103],"express":[104],"crime.":[110]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}