{"id":"https://openalex.org/W1918917050","doi":"https://doi.org/10.1109/icsdm.2015.7298060","title":"Selected keynote speech abstracts: Data-driven geography: Can we build geographic knowledge from big data?","display_name":"Selected keynote speech abstracts: Data-driven geography: Can we build geographic knowledge from big data?","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1918917050","doi":"https://doi.org/10.1109/icsdm.2015.7298060","mag":"1918917050"},"language":"en","primary_location":{"id":"doi:10.1109/icsdm.2015.7298060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2015.7298060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)","raw_type":"proceedings-article"},"type":"article","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/A5041181545","display_name":"Harvey J. Miller","orcid":"https://orcid.org/0000-0001-5480-3421"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Harvey J. Miller","raw_affiliation_strings":["Department of Geography, The Ohio State University, USA","Department of Geography The Ohio State University USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Geography The Ohio State University USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041181545"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08014083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"XI","last_page":"XV"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9345999956130981,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9016000032424927,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.794815182685852},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7863603830337524},{"id":"https://openalex.org/keywords/nomothetic-and-idiographic","display_name":"Nomothetic and idiographic","score":0.6427642703056335},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6167652010917664},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5871875882148743},{"id":"https://openalex.org/keywords/open-data","display_name":"Open data","score":0.5034474730491638},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.49328988790512085},{"id":"https://openalex.org/keywords/volunteered-geographic-information","display_name":"Volunteered geographic information","score":0.4884833097457886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4771232604980469},{"id":"https://openalex.org/keywords/local-information-systems","display_name":"Local information systems","score":0.46244245767593384},{"id":"https://openalex.org/keywords/gis-and-public-health","display_name":"GIS and public health","score":0.44571471214294434},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4129522442817688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25731027126312256},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.22010233998298645},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1966044008731842},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.08990451693534851}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.794815182685852},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7863603830337524},{"id":"https://openalex.org/C179034447","wikidata":"https://www.wikidata.org/wiki/Q2621675","display_name":"Nomothetic and idiographic","level":2,"score":0.6427642703056335},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6167652010917664},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5871875882148743},{"id":"https://openalex.org/C2780535194","wikidata":"https://www.wikidata.org/wiki/Q309901","display_name":"Open data","level":2,"score":0.5034474730491638},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.49328988790512085},{"id":"https://openalex.org/C57380593","wikidata":"https://www.wikidata.org/wiki/Q933625","display_name":"Volunteered geographic information","level":2,"score":0.4884833097457886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4771232604980469},{"id":"https://openalex.org/C98210915","wikidata":"https://www.wikidata.org/wiki/Q6664439","display_name":"Local information systems","level":4,"score":0.46244245767593384},{"id":"https://openalex.org/C104345477","wikidata":"https://www.wikidata.org/wiki/Q5513523","display_name":"GIS and public health","level":3,"score":0.44571471214294434},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4129522442817688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25731027126312256},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.22010233998298645},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1966044008731842},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.08990451693534851},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsdm.2015.7298060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2015.7298060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4317524524","https://openalex.org/W2356186052","https://openalex.org/W2883013927","https://openalex.org/W2475694835","https://openalex.org/W4239506420","https://openalex.org/W2010264491","https://openalex.org/W2100610291","https://openalex.org/W600344654","https://openalex.org/W1143922059","https://openalex.org/W2976027679"],"abstract_inverted_index":{"The":[0,119],"context":[1,123],"for":[2],"geographic":[3,100,130,157,172],"research":[4],"has":[5],"shifted":[6],"from":[7,64],"a":[8,11,126,133],"data-scarce":[9],"to":[10,57,150,154,170,174,178,184],"data-rich":[12],"environment,":[13],"in":[14,55,68,76,94,99,129],"which":[15,34],"the":[16,23,28,31,44,58,69,87],"most":[17],"fundamental":[18],"changes":[19],"are":[20,165,189],"not":[21],"just":[22],"volume":[24],"of":[25,46,60,86],"data,":[26,111],"but":[27],"variety":[29],"and":[30,66,109,112,132,145,160,177,182,192],"velocity":[32],"at":[33],"we":[35],"can":[36],"capture":[37],"geo-referenced":[38,61],"data;":[39],"trends":[40],"often":[41],"associated":[42],"with":[43,107],"concept":[45],"Big":[47,152],"Data.":[48],"A":[49],"data-driven":[50,91,186],"geography":[51,92],"may":[52,73,79],"be":[53,80],"emerging":[54],"response":[56],"wealth":[59],"data":[62,104,176],"flowing":[63],"sensors":[65],"people":[67],"environment.":[70],"Although":[71],"this":[72],"seem":[74],"revolutionary,":[75],"fact":[77,95],"it":[78],"better":[81],"described":[82],"as":[83,139,168],"evolutionary.":[84],"Some":[85],"issues":[88,98],"raised":[89],"by":[90],"have":[93],"been":[96],"longstanding":[97],"research,":[101],"namely,":[102],"large":[103],"volumes,":[105],"dealing":[106],"populations":[108],"messy":[110],"tensions":[113],"between":[114],"idiographic":[115],"versus":[116],"nomothetic":[117],"knowledge.":[118],"belief":[120],"that":[121,188],"spatial":[122,143,161],"matters":[124],"is":[125,148],"major":[127,134],"theme":[128],"thought":[131],"motivation":[135],"behind":[136],"approaches":[137],"such":[138,167],"time":[140],"geography,":[141],"disaggregate":[142],"statistics":[144],"GIScience.":[146],"There":[147],"potential":[149],"use":[151],"Data":[153],"inform":[155],"both":[156,190],"knowledge":[158,173],"discovery":[159],"modeling.":[162],"However,":[163],"there":[164],"challenges,":[166],"how":[169,183],"formalize":[171],"clean":[175],"ignore":[179],"spurious":[180],"patterns,":[181],"build":[185],"models":[187],"true":[191],"understandable.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
