{"id":"https://openalex.org/W2397382169","doi":"https://doi.org/10.1080/10095020.2016.1179441","title":"Spatially simplified scatterplots for large raster datasets","display_name":"Spatially simplified scatterplots for large raster datasets","publication_year":2016,"publication_date":"2016-04-02","ids":{"openalex":"https://openalex.org/W2397382169","doi":"https://doi.org/10.1080/10095020.2016.1179441","mag":"2397382169"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2016.1179441","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2016.1179441","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179441?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179441?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100365137","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-0624-9128"},"institutions":[{"id":"https://openalex.org/I1629065","display_name":"Central Michigan University","ror":"https://ror.org/02xawj266","country_code":"US","type":"education","lineage":["https://openalex.org/I1629065"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bin Li","raw_affiliation_strings":["Department of Geography, College of Science and Engineering, Central Michigan University, Mount Pleasant, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, College of Science and Engineering, Central Michigan University, Mount Pleasant, MI, USA","institution_ids":["https://openalex.org/I1629065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047557932","display_name":"Daniel A. Griffith","orcid":"https://orcid.org/0000-0001-5125-6450"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel A. Griffith","raw_affiliation_strings":["School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX, USA"],"affiliations":[{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072825490","display_name":"Brian L. Becker","orcid":null},"institutions":[{"id":"https://openalex.org/I1629065","display_name":"Central Michigan University","ror":"https://ror.org/02xawj266","country_code":"US","type":"education","lineage":["https://openalex.org/I1629065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Becker","raw_affiliation_strings":["Department of Geography, College of Science and Engineering, Central Michigan University, Mount Pleasant, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, College of Science and Engineering, Central Michigan University, Mount Pleasant, MI, USA","institution_ids":["https://openalex.org/I1629065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100365137"],"corresponding_institution_ids":["https://openalex.org/I1629065"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":0.9949,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7553431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"2","first_page":"81","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9987000226974487,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9908000230789185,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/computer-science","display_name":"Computer science","score":0.6501426100730896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6210921406745911},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6162030696868896},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.588507890701294},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5072879195213318},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4820885956287384},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.47268038988113403},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4254569709300995},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4196214973926544},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4107038974761963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24763119220733643},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23791536688804626},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21838566660881042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21776413917541504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6501426100730896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6210921406745911},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6162030696868896},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.588507890701294},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5072879195213318},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4820885956287384},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.47268038988113403},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4254569709300995},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4196214973926544},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4107038974761963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24763119220733643},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23791536688804626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21838566660881042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21776413917541504},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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:10.1080/10095020.2016.1179441","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2016.1179441","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179441?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2016.1179441","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2016.1179441","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2016.1179441?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2397382169.pdf","grobid_xml":"https://content.openalex.org/works/W2397382169.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W59779684","https://openalex.org/W73025094","https://openalex.org/W110918106","https://openalex.org/W636908629","https://openalex.org/W1496856705","https://openalex.org/W1512139451","https://openalex.org/W1556631438","https://openalex.org/W1558737139","https://openalex.org/W1599710294","https://openalex.org/W1691800994","https://openalex.org/W1968099699","https://openalex.org/W1976553079","https://openalex.org/W1981236563","https://openalex.org/W1996135682","https://openalex.org/W2015028345","https://openalex.org/W2037432955","https://openalex.org/W2041900796","https://openalex.org/W2060091647","https://openalex.org/W2083087416","https://openalex.org/W2091075671","https://openalex.org/W2094153371","https://openalex.org/W2108096958","https://openalex.org/W2118266217","https://openalex.org/W2128228580","https://openalex.org/W2128959474","https://openalex.org/W2532012600","https://openalex.org/W2797583072","https://openalex.org/W4235667863","https://openalex.org/W4245795438","https://openalex.org/W4248490036","https://openalex.org/W4249303080","https://openalex.org/W4298870098"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2768758348","https://openalex.org/W2954918491","https://openalex.org/W2965182652","https://openalex.org/W1964658094"],"abstract_inverted_index":{"Scatterplots":[0],"are":[1],"essential":[2],"tools":[3],"for":[4,103],"data":[5,111,116,148],"exploration.":[6],"However,":[7],"this":[8],"tool":[9],"poorly":[10],"scales":[11],"with":[12,14,108],"data-size,":[13],"overplotting":[15],"and":[16,73,112,126],"excessive":[17],"delay":[18],"being":[19],"the":[20,26,39,67,74,78,90,101,158,162],"main":[21],"problems.":[22],"Generalization":[23],"methods":[24,50],"in":[25,45,54,63],"attribute":[27],"domain":[28],"focus":[29],"on":[30],"visual":[31],"manipulations,":[32],"but":[33],"do":[34],"not":[35],"take":[36],"into":[37],"account":[38],"inherent":[40],"nature":[41],"of":[42,56,59,69,77,80,93,123,161],"information":[43,91],"redundancy":[44],"most":[46],"geographic":[47,159],"data.":[48,60,106,164],"These":[49],"may":[51],"also":[52,150],"result":[53],"alterations":[55],"statistical":[57,153],"properties":[58,154],"Recent":[61],"developments":[62],"spatial":[64,82,143],"statistics,":[65],"particularly":[66],"formulation":[68],"effective":[70],"sample":[71],"size":[72],"fast":[75],"approximation":[76],"eigenvalues":[79],"a":[81,94,133,138],"weights":[83],"matrix,":[84],"make":[85],"it":[86],"possible":[87],"to":[88],"assess":[89],"content":[92],"georeferenced":[95,140],"data-set,":[96],"which":[97],"can":[98,129],"serve":[99],"as":[100,155,157],"basis":[102],"resampling":[104],"such":[105],"Experiments":[107],"both":[109],"simulated":[110],"actual":[113],"remotely":[114],"sensed":[115],"show":[117],"that":[118],"an":[119],"equivalent":[120],"scatterplot":[121],"consisting":[122],"point":[124],"clouds":[125],"fitted":[127],"lines":[128],"be":[130],"produced":[131],"from":[132,137],"small":[134],"subset":[135,149],"extracted":[136],"parent":[139],"data-set":[141],"through":[142],"resampling.":[144],"The":[145],"spatially":[146],"simplified":[147],"maintains":[151],"key":[152],"well":[156],"coverage":[160],"original":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}