{"id":"https://openalex.org/W2163051915","doi":"https://doi.org/10.1145/2070770.2070779","title":"Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries","display_name":"Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2163051915","doi":"https://doi.org/10.1145/2070770.2070779","mag":"2163051915"},"language":"en","primary_location":{"id":"doi:10.1145/2070770.2070779","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2070770.2070779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems","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/A5113803154","display_name":"Simin You","orcid":null},"institutions":[{"id":"https://openalex.org/I121847817","display_name":"The Graduate Center, CUNY","ror":"https://ror.org/00awd9g61","country_code":"US","type":"education","lineage":["https://openalex.org/I121847817"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Simin You","raw_affiliation_strings":["CUNY Graduate Center, New York, NY"],"affiliations":[{"raw_affiliation_string":"CUNY Graduate Center, New York, NY","institution_ids":["https://openalex.org/I121847817"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101482691","display_name":"Jianting Zhang","orcid":"https://orcid.org/0000-0002-0161-9716"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianting Zhang","raw_affiliation_strings":["City College of New York, New York City, NY"],"affiliations":[{"raw_affiliation_string":"City College of New York, New York City, NY","institution_ids":["https://openalex.org/I125687163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113803154"],"corresponding_institution_ids":["https://openalex.org/I121847817"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19259548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.8894729614257812},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.7969511151313782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7741780281066895},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6435150504112244},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.613310694694519},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5101378560066223},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.47653254866600037},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4425412118434906},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3541867733001709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32234472036361694},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3207022547721863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2828925848007202},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.16679081320762634},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13383010029792786},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11534467339515686},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0951131284236908}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8894729614257812},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.7969511151313782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741780281066895},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6435150504112244},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.613310694694519},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5101378560066223},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.47653254866600037},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4425412118434906},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3541867733001709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32234472036361694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3207022547721863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2828925848007202},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.16679081320762634},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13383010029792786},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11534467339515686},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0951131284236908}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2070770.2070779","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2070770.2070779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.5774","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.5774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-cs.ccny.cuny.edu/%7Ejzhang/papers/HPDGIS11Histogramming_Preprint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1503820821","https://openalex.org/W2014267323","https://openalex.org/W2133873540"],"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/W3102510374","https://openalex.org/W2954918491","https://openalex.org/W1964658094"],"abstract_inverted_index":{"This":[0],"demonstration":[1],"paper":[2],"reports":[3],"our":[4,57],"design":[5],"and":[6,44],"implementation":[7],"of":[8,16,52],"a":[9],"Web-based":[10],"system":[11],"that":[12,56,69],"supports":[13],"efficient":[14],"histogramming":[15],"large-scale":[17],"geospatial":[18],"rasters":[19],"using":[20,48],"either":[21],"rectangular":[22],"or":[23],"arbitrarily":[24],"shaped":[25],"polygons":[26],"interactively":[27],"drawn":[28],"by":[29],"users":[30],"at":[31],"the":[32,72],"client":[33],"side.":[34],"By":[35],"combining":[36],"two":[37],"performance":[38],"boosting":[39],"techniques,":[40],"namely":[41],"materialized":[42],"histograms":[43],"compressed":[45],"tiles,":[46],"experiments":[47],"50":[49],"random":[50],"Region":[51],"Interests":[53],"(ROIs)":[54],"show":[55],"approach":[58],"is":[59],"several":[60],"times":[61],"faster":[62],"than":[63],"straightforwardly":[64],"scanning":[65],"all":[66],"raster":[67],"tiles":[68],"intersect":[70],"with":[71],"ROIs.":[73]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
