{"id":"https://openalex.org/W2125698336","doi":"https://doi.org/10.1111/tgis.12119","title":"Point Pattern Analysis for Clusters Influenced by Linear Features: An Application for Mosquito Larval Sites","display_name":"Point Pattern Analysis for Clusters Influenced by Linear Features: An Application for Mosquito Larval Sites","publication_year":2014,"publication_date":"2014-11-16","ids":{"openalex":"https://openalex.org/W2125698336","doi":"https://doi.org/10.1111/tgis.12119","mag":"2125698336"},"language":"en","primary_location":{"id":"doi:10.1111/tgis.12119","doi":"https://doi.org/10.1111/tgis.12119","is_oa":false,"landing_page_url":"https://doi.org/10.1111/tgis.12119","pdf_url":null,"source":{"id":"https://openalex.org/S859791518","display_name":"Transactions in GIS","issn_l":"1361-1682","issn":["1361-1682","1467-9671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions in GIS","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.escholarship.org/uc/item/17g6130m","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100361059","display_name":"Li Li","orcid":"https://orcid.org/0000-0001-9102-4232","observed_orcids":["https://orcid.org/0000-0001-9102-4232"]},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Li","raw_affiliation_strings":["IBM China Research Lab, Beijing,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM China Research Lab, Beijing,","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113632512","display_name":"Ling Bian","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ling Bian","raw_affiliation_strings":["Department of Geography; University of Buffalo; New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography; University of Buffalo; New York","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066157189","display_name":"Peter A. Rogerson","orcid":"https://orcid.org/0000-0003-1870-4818","observed_orcids":["https://orcid.org/0000-0003-1870-4818"]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Rogerson","raw_affiliation_strings":["Department of Geography; University of Buffalo; New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography; University of Buffalo; New York","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031221050","display_name":"Guiyun Yan","orcid":"https://orcid.org/0000-0001-8760-2925","observed_orcids":["https://orcid.org/0000-0001-8760-2925"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guiyun Yan","raw_affiliation_strings":["[University of California, Irvine]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[University of California, Irvine]","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100361059"],"corresponding_institution_ids":["https://openalex.org/I4210126794"],"apc_list":{"value":3800,"currency":"USD","value_usd":3800},"apc_paid":null,"fwci":0.6075,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74363156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":"6","first_page":"835","last_page":"847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.0006000000284984708,"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-point-pattern-analysis","display_name":"point pattern analysis","score":0.9279999732971191},{"id":"https://openalex.org/keywords/anisotropic-clustering","display_name":"anisotropic clustering","score":0.7870000004768372},{"id":"https://openalex.org/keywords/linear-features","display_name":"linear features","score":0.9039999842643738},{"id":"https://openalex.org/keywords/l-functions","display_name":"L-functions","score":0.8930000066757202},{"id":"https://openalex.org/keywords/spatial-clustering","display_name":"spatial clustering","score":0.5180000066757202},{"id":"https://openalex.org/keywords/ellipse","display_name":"ellipse","score":0.753000020980835},{"id":"https://openalex.org/keywords/vector-borne-disease-vectors","display_name":"vector-borne disease vectors","score":0.5350000262260437}],"concepts":[{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6486860513687134},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5805754661560059},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.5702201128005981},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5417166352272034},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5207193493843079},{"id":"https://openalex.org/C193722300","wikidata":"https://www.wikidata.org/wiki/Q7208284","display_name":"Point pattern analysis","level":3,"score":0.48168477416038513},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.44571495056152344},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.4299837350845337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4163590371608734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.380166620016098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32461604475975037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29640501737594604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2913343608379364},{"id":"https://openalex.org/C173727882","wikidata":"https://www.wikidata.org/wiki/Q5153620","display_name":"Common spatial pattern","level":2,"score":0.16398391127586365},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1457531452178955},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14000946283340454},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.07235211133956909},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1111/tgis.12119","doi":"https://doi.org/10.1111/tgis.12119","is_oa":false,"landing_page_url":"https://doi.org/10.1111/tgis.12119","pdf_url":null,"source":{"id":"https://openalex.org/S859791518","display_name":"Transactions in GIS","issn_l":"1361-1682","issn":["1361-1682","1467-9671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions in GIS","raw_type":"journal-article"},{"id":"pmh:qt17g6130m","doi":null,"is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/17g6130m","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, L; Bian, L; Rogerson, P; & Yan, G. (2014). Point Pattern Analysis for Clusters Influenced by Linear Features: An Application for Mosquito Larval Sites. Transactions in GIS. doi: 10.1111/tgis.12119. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/17g6130m","raw_type":"article"}],"best_oa_location":{"id":"pmh:qt17g6130m","doi":null,"is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/17g6130m","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, L; Bian, L; Rogerson, P; & Yan, G. (2014). Point Pattern Analysis for Clusters Influenced by Linear Features: An Application for Mosquito Larval Sites. Transactions in GIS. doi: 10.1111/tgis.12119. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/17g6130m","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W226865219","https://openalex.org/W1490441963","https://openalex.org/W1500064878","https://openalex.org/W1605121336","https://openalex.org/W1785182014","https://openalex.org/W1833075864","https://openalex.org/W1975938823","https://openalex.org/W1977782123","https://openalex.org/W1978293581","https://openalex.org/W1978608550","https://openalex.org/W1988849643","https://openalex.org/W1992096694","https://openalex.org/W2002151188","https://openalex.org/W2007630123","https://openalex.org/W2008472980","https://openalex.org/W2016393340","https://openalex.org/W2019584738","https://openalex.org/W2028533982","https://openalex.org/W2032101051","https://openalex.org/W2049507704","https://openalex.org/W2051034836","https://openalex.org/W2051718091","https://openalex.org/W2062791176","https://openalex.org/W2065992695","https://openalex.org/W2067426246","https://openalex.org/W2098176393","https://openalex.org/W2105984161","https://openalex.org/W2107471656","https://openalex.org/W2119592061","https://openalex.org/W2123337039","https://openalex.org/W2125214271","https://openalex.org/W2130758326","https://openalex.org/W2136502970","https://openalex.org/W2138235384","https://openalex.org/W2138271899","https://openalex.org/W2142591217","https://openalex.org/W2146598112","https://openalex.org/W2157376118","https://openalex.org/W2163174969","https://openalex.org/W2178643722","https://openalex.org/W2324566355","https://openalex.org/W6636086385"],"related_works":["https://openalex.org/W7023877805","https://openalex.org/W2172145371","https://openalex.org/W4309994114","https://openalex.org/W2133412540","https://openalex.org/W2004322822","https://openalex.org/W2320035196","https://openalex.org/W2335285165","https://openalex.org/W1986544586","https://openalex.org/W7071415239","https://openalex.org/W2056491557"],"abstract_inverted_index":{"Abstract":[0],"Although":[1],"many":[2],"statistical":[3,60],"approaches":[4,63],"have":[5,55],"been":[6],"developed":[7],"to":[8,17,23,87,94,128,154],"quantify":[9],"and":[10,48,124,172],"assess":[11],"spatial":[12],"point":[13,36,41,52,90,114,176],"patterns,":[14],"the":[15,29,95,105,108,113,130,136,156,165,179],"challenge":[16],"analyze":[18],"complicated":[19],"patterns":[20,91,147,177],"has":[21],"yet":[22],"be":[24],"met.":[25],"Statistics":[26],"that":[27,35,132,164],"describe":[28],"level":[30],"of":[31,50,68,97,107,118,143,148,158,175],"clustering":[32],"usually":[33],"assume":[34],"events":[37,42,53],"are":[38,43,126,133],"isotropic.":[39],"Many":[40],"influenced":[44,82],"by":[45,83],"linear":[46,84,99,110],"features":[47,85,111],"clusters":[49,81],"these":[51,66],"often":[54,64],"an":[56,77],"elongated":[57],"shape.":[58],"Existing":[59],"cluster":[61],"detection":[62],"ignore":[65],"types":[67],"processes.":[69],"This":[70],"study":[71,142],"proposes":[72],"a":[73,116,169],"new":[74],"method,":[75],"termed":[76],"L\u2010function":[78,138,181],"analysis":[79],"for":[80,104],"(L\u2010Function\u2010l)":[86],"test":[88],"anisotropic":[89],"with":[92,120],"respect":[93],"orientation":[96],"nearby":[98],"features.":[100],"To":[101],"explicitly":[102],"account":[103],"influence":[106],"underlying":[109],"on":[112],"events,":[115],"number":[117],"ellipses":[119],"varying":[121],"lengths,":[122],"orientations":[123],"eccentricities":[125],"used":[127,153],"replace":[129],"circles":[131],"drawn":[134],"in":[135],"original":[137,180],"analysis.":[139,182],"A":[140],"case":[141],"testing":[144],"anisotropically":[145],"clustered":[146],"mosquito":[149],"larval":[150],"sites":[151],"is":[152],"illustrate":[155],"application":[157],"this":[159],"method.":[160],"The":[161],"results":[162],"indicate":[163],"proposed":[166],"approach":[167],"provides":[168],"more":[170],"flexible":[171],"comprehensive":[173],"description":[174],"than":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}