{"id":"https://openalex.org/W2465252274","doi":"https://doi.org/10.2312/pe.envirvis.envirvis13.013-017","title":"Using K-Means Clustering for a Spatial Analysis of Multivariate and Time-Varying Microclimate Data","display_name":"Using K-Means Clustering for a Spatial Analysis of Multivariate and Time-Varying Microclimate Data","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2465252274","doi":"https://doi.org/10.2312/pe.envirvis.envirvis13.013-017","mag":"2465252274"},"language":"en","primary_location":{"id":"doi:10.2312/pe.envirvis.envirvis13.013-017","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.envirvis.envirvis13.013-017","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe.envirvis.envirvis13.013-017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091532772","display_name":"Kathrin H\u00e4b","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00e4b, Kathrin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065330886","display_name":"Ariane Middel","orcid":"https://orcid.org/0000-0002-1565-095X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Middel, Ariane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108255640","display_name":"Hans Hagen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hagen, Hans","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7940000295639038,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7940000295639038,"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/microclimate","display_name":"Microclimate","score":0.6297990679740906},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5694963335990906},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5327062010765076},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4287600517272949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40389078855514526},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3872840404510498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3498843312263489},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31675758957862854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3114900588989258}],"concepts":[{"id":"https://openalex.org/C32957820","wikidata":"https://www.wikidata.org/wiki/Q215108","display_name":"Microclimate","level":2,"score":0.6297990679740906},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5694963335990906},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5327062010765076},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4287600517272949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40389078855514526},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3872840404510498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3498843312263489},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31675758957862854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3114900588989258},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/pe.envirvis.envirvis13.013-017","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.envirvis.envirvis13.013-017","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"mag:2465252274","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/envirvis-ws/envirvis-ws2013.html#HabMH13","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pe.envirvis.envirvis13.013-017","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.envirvis.envirvis13.013-017","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1972421302","https://openalex.org/W2556391500","https://openalex.org/W2079843810","https://openalex.org/W2121252879","https://openalex.org/W2753285216","https://openalex.org/W2790470447","https://openalex.org/W2065106363","https://openalex.org/W2058976080","https://openalex.org/W1967270706","https://openalex.org/W1619488193","https://openalex.org/W2510190756","https://openalex.org/W129927049","https://openalex.org/W3198210143","https://openalex.org/W2042755934","https://openalex.org/W2982756550","https://openalex.org/W2030515615","https://openalex.org/W3084043487","https://openalex.org/W2799607763","https://openalex.org/W3035177913","https://openalex.org/W2236249755"],"abstract_inverted_index":{"In":[0,58],"this":[1],"study,":[2],"we":[3,62],"propose":[4],"a":[5,52,59,90,156],"k-means":[6,142],"clustering":[7,103],"algorithm":[8],"combined":[9],"with":[10],"glyph-based":[11],"encoding":[12],"method":[13],"to":[14,88,119,131,154],"analyze":[15],"the":[16,64,84,95,99,120,137,141,149,160],"spatial":[17,100,121,161],"distribution":[18],"and":[19,34,42,130],"dependence":[20],"of":[21,51,94,123,163],"multivariate,":[22],"time-varying":[23],"3D":[24,65],"microclimate":[25],"data.":[26],"We":[27],"obtained":[28],"five":[29],"climate":[30],"variables,":[31],"i.e.":[32],"air":[33],"surface":[35],"temperature,":[36],"specific":[37],"humidity,":[38],"direct":[39],"shortwave":[40],"radiation":[41],"sensible":[43],"heat":[44],"flux,":[45],"from":[46],"an":[47],"ENVI-met":[48],"R":[49],"simulation":[50,67,86],"residential":[53],"neighborhood":[54],"in":[55,107],"Phoenix,":[56],"AZ.":[57],"preprocessing":[60],"step,":[61],"aggregated":[63],"gridded":[66],"data":[68,96],"by":[69,110],"adding":[70],"up":[71],"value":[72,125],"differences":[73],"between":[74],"two":[75],"consecutive":[76],"time":[77,87],"steps":[78],"for":[79],"each":[80,112],"grid":[81,113],"cell":[82,114],"over":[83],"entire":[85],"get":[89],"highly":[91],"compressed":[92],"view":[93],"without":[97],"losing":[98],"context.":[101],"K-means":[102],"was":[104],"then":[105],"conducted":[106],"coordinate":[108],"space":[109],"weighting":[111],"based":[115,165],"on":[116,140,166],"its":[117],"difference":[118],"mean":[122],"temporal":[124,168],"differences.":[126],"To":[127],"reduce":[128],"occlusion":[129],"encode":[132],"additional":[133],"cluster":[134,143],"member":[135],"information,":[136],"visualization":[138],"focused":[139],"centroids.":[144],"Resulting":[145],"images":[146],"show":[147],"that":[148],"applied":[150],"technique":[151],"is":[152],"suitable":[153],"provide":[155],"first":[157],"insight":[158],"into":[159],"relationship":[162],"features":[164],"their":[167],"variability.":[169]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}