{"id":"https://openalex.org/W2586140530","doi":"https://doi.org/10.2312/envirvis.20161105","title":"A Data-Driven Approach to Categorize Climatic Microenvironments","display_name":"A Data-Driven Approach to Categorize Climatic Microenvironments","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2586140530","doi":"https://doi.org/10.2312/envirvis.20161105","mag":"2586140530"},"language":"en","primary_location":{"id":"doi:10.2312/envirvis.20161105","is_oa":true,"landing_page_url":"https://doi.org/10.2312/envirvis.20161105","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/envirvis.20161105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091532772","display_name":"Kathrin H\u00e4b","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"H\u00e4b, Kathrin","raw_affiliation_strings":["University of Kaiserslautern Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065330886","display_name":"Ariane Middel","orcid":"https://orcid.org/0000-0002-1565-095X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Middel, Ariane","raw_affiliation_strings":["Arizona State University**"],"affiliations":[{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054202351","display_name":"Benjamin L. Ruddell","orcid":"https://orcid.org/0000-0003-2967-9339"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruddell, Benjamin L.","raw_affiliation_strings":["Arizona State University**"],"affiliations":[{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108428297","display_name":"Hans Hagen","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hagen, Hans","raw_affiliation_strings":["University of Kaiserslautern Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern Germany","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091532772"],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.8105472922325134},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7109302282333374},{"id":"https://openalex.org/keywords/transect","display_name":"Transect","score":0.6558730602264404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5998789072036743},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5749145746231079},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5433807969093323},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5178083181381226},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4501672387123108},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4437936842441559},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.43923521041870117},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.358612984418869},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35511505603790283},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3185271620750427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24194106459617615},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.126865953207016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10319674015045166}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8105472922325134},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7109302282333374},{"id":"https://openalex.org/C69661492","wikidata":"https://www.wikidata.org/wiki/Q1447141","display_name":"Transect","level":2,"score":0.6558730602264404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5998789072036743},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5749145746231079},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5433807969093323},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5178083181381226},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4501672387123108},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4437936842441559},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.43923521041870117},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.358612984418869},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35511505603790283},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3185271620750427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24194106459617615},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.126865953207016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10319674015045166},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/envirvis.20161105","is_oa":true,"landing_page_url":"https://doi.org/10.2312/envirvis.20161105","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"article"},{"id":"mag:2586140530","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/envirvis-ws/envirvis-ws2016.html#HabMRH16","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/envirvis.20161105","is_oa":true,"landing_page_url":"https://doi.org/10.2312/envirvis.20161105","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1566999132","https://openalex.org/W1944494962","https://openalex.org/W1970590485","https://openalex.org/W1990517717","https://openalex.org/W1997579112","https://openalex.org/W2020070925","https://openalex.org/W2022331423","https://openalex.org/W2023289472","https://openalex.org/W2030737358","https://openalex.org/W2052326455","https://openalex.org/W2054489659","https://openalex.org/W2069469539","https://openalex.org/W2099184529","https://openalex.org/W2106571390","https://openalex.org/W2108186871","https://openalex.org/W2110802877","https://openalex.org/W2114566476","https://openalex.org/W2114791275","https://openalex.org/W2126822776","https://openalex.org/W2127170577","https://openalex.org/W2134312057","https://openalex.org/W2135586389","https://openalex.org/W2166279335","https://openalex.org/W2181907826","https://openalex.org/W2606998430"],"related_works":["https://openalex.org/W3152052096","https://openalex.org/W2728615690"],"abstract_inverted_index":{"In":[0,113],"urban":[1,13],"climatology,":[2],"identifying":[3],"areas":[4,36],"of":[5,34,103,121,129,137,151,183],"similar":[6,152],"microclimatic":[7],"conditions":[8],"helps":[9],"to":[10,16,55,68],"relate":[11],"fine-scale":[12],"morphology":[14],"variations":[15],"their":[17],"impact":[18],"on":[19,134],"atmospheric":[20],"surroundings.":[21],"Mobile":[22],"transect":[23],"measurements":[24,77],"yield":[25],"high-resolution":[26],"microclimate":[27],"data":[28,46,74,100],"that":[29,146,156,170,176],"allow":[30],"for":[31],"the":[32,42,57,90,118,122,127,130,138,158,162,171,180,184],"delineation":[33],"these":[35],"at":[37],"a":[38,65,86,106,135,143],"fine":[39],"scale.":[40],"However,":[41],"resulting":[43,123],"spatio-temporal":[44],"multivariate":[45,73,94,153],"is":[47,142],"complicated":[48],"and":[49,53,89,109,155],"requires":[50],"careful":[51],"analysis":[52],"visualization":[54,67],"identify":[56],"emergent":[58],"climatic":[59],"microenvironments.":[60],"Our":[61],"previous":[62],"work":[63],"used":[64],"glyph-based":[66],"comprehensively":[69],"visualize":[70],"spatially":[71],"aggregated":[72],"from":[75],"mobile":[76],"over":[78,85],"diverse":[79],"routes.":[80],"This":[81],"aggregation":[82],"was":[83],"conducted":[84],"regular":[87],"grid,":[88],"utilized":[91],"glyphs":[92,163],"encoded":[93,160],"relationships,":[95],"average":[96],"wind":[97],"direction":[98],"during":[99],"collection,":[101],"number":[102],"transects":[104],"traversing":[105],"grid":[107,110,131],"cell,":[108],"cell":[111],"size.":[112],"this":[114],"paper,":[115],"we":[116],"reduce":[117],"visual":[119],"complexity":[120],"map":[124,145],"by":[125,161],"coloring":[126],"background":[128],"cells":[132],"based":[133],"comparison":[136],"glyphs.":[139],"The":[140],"result":[141],"gridded":[144],"visually":[147],"emphasizes":[148],"spatial":[149],"zones":[150,175],"relationships":[154],"takes":[157],"information":[159],"into":[164],"account.":[165],"A":[166],"preliminary":[167],"evaluation":[168],"shows":[169],"described":[172],"approach":[173],"yields":[174],"line":[177],"up":[178],"with":[179],"physical":[181],"structure":[182],"study":[185],"site.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}