{"id":"https://openalex.org/W7225460967","doi":"https://doi.org/10.5281/zenodo.24029915","title":"Predictive Geospatial Computation: Forecasting Future Geographic Information Requests and Proactively Preparing Spatial Analysis Results","display_name":"Predictive Geospatial Computation: Forecasting Future Geographic Information Requests and Proactively Preparing Spatial Analysis Results","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225460967","doi":"https://doi.org/10.5281/zenodo.24029915"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24029915","doi":"https://doi.org/10.5281/zenodo.24029915","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029915","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24029915","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638045","display_name":"Jincheng Zhang","orcid":"https://orcid.org/0000-0001-7332-6704","observed_orcids":["https://orcid.org/0000-0001-7332-6704","https://orcid.org/0009-0005-1860-0009"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Jincheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0005-1860-0009","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100638045"],"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/T11106","display_name":"Data Management and Algorithms","score":0.8291000127792358,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8291000127792358,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.11680000275373459,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.011300000362098217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/query-latency-reduction","display_name":"query latency reduction","score":0.7929999828338623},{"id":"https://openalex.org/keywords/spatial-query-optimization","display_name":"spatial query optimization","score":0.453000009059906},{"id":"https://openalex.org/keywords/user-interaction-patterns","display_name":"user interaction patterns","score":0.4440000057220459},{"id":"https://openalex.org/keywords/buffer-zones","display_name":"buffer zones","score":0.40400001406669617},{"id":"https://openalex.org/keywords/raster-processing","display_name":"raster processing","score":0.42500001192092896},{"id":"https://openalex.org/keywords/network-analysis","display_name":"network analysis","score":0.5759999752044678},{"id":"https://openalex.org/keywords/data-freshness","display_name":"data freshness","score":0.4449999928474426},{"id":"https://openalex.org/keywords/storage-overhead","display_name":"storage overhead","score":0.4569999873638153},{"id":"https://openalex.org/keywords/prediction-confidence","display_name":"prediction confidence","score":0.39800000190734863},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"geospatial analysis","score":0.4620000123977661}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.9420999884605408},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.8238000273704529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376999855041504},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.635200023651123},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.635200023651123},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5990999937057495},{"id":"https://openalex.org/C104345477","wikidata":"https://www.wikidata.org/wiki/Q5513523","display_name":"GIS and public health","level":3,"score":0.4912000000476837},{"id":"https://openalex.org/C98210915","wikidata":"https://www.wikidata.org/wiki/Q6664439","display_name":"Local information systems","level":4,"score":0.460099995136261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45969998836517334},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.4156999886035919},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.3885999917984009},{"id":"https://openalex.org/C56321713","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"GIS applications","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33500000834465027},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2858000099658966},{"id":"https://openalex.org/C188981036","wikidata":"https://www.wikidata.org/wiki/Q1502855","display_name":"Spatial data infrastructure","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C193150823","wikidata":"https://www.wikidata.org/wiki/Q1477538","display_name":"Geospatial metadata","level":5,"score":0.2757999897003174},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.27300000190734863},{"id":"https://openalex.org/C181820014","wikidata":"https://www.wikidata.org/wiki/Q186027","display_name":"Time geography","level":5,"score":0.25999999046325684}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24029915","doi":"https://doi.org/10.5281/zenodo.24029915","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029915","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24029916","doi":"https://doi.org/10.5281/zenodo.24029916","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029916","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24029915","doi":"https://doi.org/10.5281/zenodo.24029915","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029915","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7127946826","https://openalex.org/W1715358615","https://openalex.org/W4231470148","https://openalex.org/W1973871983","https://openalex.org/W2493714493","https://openalex.org/W2072159869","https://openalex.org/W7095230914","https://openalex.org/W2486401268","https://openalex.org/W2155667349","https://openalex.org/W4241595320"],"abstract_inverted_index":{"The":[0,220,306,424],"increasing":[1],"volume":[2],"and":[3,22,43,75,109,138,145,184,216,246,265,289,371,393,421,458,499,525],"complexity":[4],"of":[5,231,256,348,441,446,454,462],"geographic":[6,30,45,99,102,135,162,174,182,195,232,247,259,319,350,388,442,470,497,531],"information":[7,136,186,471],"have":[8],"created":[9],"substantial":[10],"computational":[11,50,119,190,209,391,411,460,477],"demands":[12],"in":[13,275,352,479,528],"Geographic":[14],"Information":[15],"Systems":[16],"(GIS),":[17],"spatial":[18,33,68,84,139,165,177,198,205,213,234,257,286,327,362,380,395,407,456,487,502,514,522],"databases,":[19],"geospatial":[20,202],"analytics,":[21],"interactive":[23,530],"mapping":[24],"platforms.":[25],"Spatial":[26],"operations":[27,328],"such":[28],"as":[29],"proximity":[31],"analysis,":[32],"joins,":[34],"polygon":[35],"intersection,":[36],"terrain":[37,242],"modeling,":[38],"raster":[39,244,263],"processing,":[40,77,389,472],"regional":[41,240],"aggregation,":[42],"network-based":[44],"analysis":[46,140,488],"may":[47,113,321],"require":[48,302],"considerable":[49],"resources,":[51],"particularly":[52],"when":[53],"performed":[54,333],"repeatedly":[55],"over":[56],"large":[57],"datasets.":[58],"Although":[59],"existing":[60],"GIS":[61,170,481],"optimization":[62,339],"techniques":[63],"improve":[64],"query":[65,70,94,385,408,515],"execution":[66],"through":[67],"indexing,":[69],"optimization,":[71],"caching,":[72],"materialized":[73],"views,":[74],"distributed":[76],"their":[78],"operational":[79],"behavior":[80],"remains":[81],"predominantly":[82],"reactive:":[83],"computations":[85,351,503],"are":[86,329],"generally":[87],"initiated":[88],"after":[89,489],"a":[90,93,97,128,160,310,476],"user":[91,150],"submits":[92],"or":[95,164],"requests":[96,137,151],"particular":[98,161],"region.":[100],"However,":[101],"exploration":[103,175,498],"frequently":[104],"exhibits":[105],"spatial,":[106],"temporal,":[107],"behavioral,":[108],"task-related":[110],"patterns":[111],"that":[112,131,294,314,429],"provide":[114],"useful":[115],"signals":[116],"about":[117],"future":[118,134,189,359],"requirements.":[120],"This":[121],"paper":[122],"introduces":[123,309],"Predictive":[124],"Geospatial":[125],"Computation":[126],"(PGC),":[127],"conceptual":[129],"framework":[130,222,307,425],"investigates":[132,223,377],"whether":[133,378],"workloads":[141],"can":[142,382],"be":[143,273,322,332],"anticipated":[144],"selectively":[146],"prepared":[147,447],"before":[148,504],"actual":[149],"materialize.":[152],"Rather":[153],"than":[154],"waiting":[155],"for":[156,269,356],"users":[157,490],"to":[158,187,272,331,343,403,537],"request":[159,360,491],"region":[163],"operation,":[166],"PGC":[167,376],"analyzes":[168],"historical":[169],"interaction":[171],"patterns,":[172],"current":[173],"trajectories,":[176],"relationships,":[178,239],"temporal":[179],"activity":[180],"distributions,":[181],"events,":[183],"contextual":[185],"estimate":[188,344],"demand.":[191],"Its":[192,508],"architecture":[193],"integrates":[194],"demand":[196],"forecasting,":[197],"task":[199],"prediction,":[200],"proactive":[201,254],"computation,":[203],"predictive":[204,430,467],"index":[206,396,523],"preparation,":[207],"hierarchical":[208],"result":[210,218,287,369],"reuse,":[211,292],"adaptive":[212],"resource":[214,372],"scheduling,":[215],"uncertainty-aware":[217],"validation.":[219,539],"proposed":[221,402],"several":[224],"complementary":[225],"preparation":[226,255,417,431],"mechanisms,":[227],"including":[228],"advance":[229,353,379,463],"computation":[230,363,381],"distances,":[233],"intersections,":[235],"buffer":[236],"zones,":[237],"nearest-neighbor":[238],"statistics,":[241],"characteristics,":[243],"transformations,":[245],"network":[248],"measurements.":[249],"It":[250],"further":[251],"considers":[252],"the":[253,276,282,345,439,444,452,459],"indexes,":[258],"data":[260,365],"tiles,":[261],"intermediate":[262],"products,":[264],"reusable":[266],"analytical":[267,304,422],"representations":[268],"regions":[270,320],"likely":[271,330,496],"explored":[274],"near":[277],"future.":[278],"A":[279,337],"centralfeature":[280],"is":[281,341,401,432],"distinction":[283],"between":[284],"complete":[285],"reuse":[288],"partial":[290],"computational-state":[291],"recognizing":[293],"two":[295],"geographically":[296],"related":[297],"queries":[298],"do":[299,483],"not":[300,316,427,484],"necessarily":[301],"identical":[303],"outputs.":[305],"also":[308,325],"spatial-context-aware":[311],"prediction":[312,357,405],"mechanism":[313],"estimates":[315],"only":[317],"which":[318,326,480],"requested,":[323],"but":[324,493],"on":[334,438],"those":[335],"regions.":[336],"unified":[338],"formulation":[340],"developed":[342],"expected":[346],"benefit":[347],"preparing":[349],"while":[354],"accounting":[355],"confidence,":[358],"frequency,":[361],"costs,":[364],"freshness,":[366],"storage":[367,419],"requirements,":[368],"compatibility,":[370],"availability.":[373],"In":[374],"particular,":[375],"reduce":[383],"user-perceived":[384],"latency,":[386],"redundant":[387,518],"peak":[390],"demand,":[392],"repeated":[394],"construction.":[397],"An":[398],"experimental":[399],"methodology":[400],"evaluate":[404],"accuracy,":[406],"response":[409],"time,":[410],"expenditure,":[412],"precomputation":[413],"hit":[414],"rate,":[415],"invalid":[416],"ratio,":[418],"overhead,":[420],"correctness.":[423],"does":[426],"assume":[428],"universally":[433],"beneficial;":[434],"its":[435],"effectiveness":[436],"depends":[437],"predictability":[440],"exploration,":[443],"compatibility":[445],"results":[448],"with":[449],"subsequent":[450],"queries,":[451],"stability":[453],"underlying":[455],"datasets,":[457],"cost":[461],"preparation.":[464],"By":[465],"extending":[466],"computing":[468],"into":[469],"this":[473],"research":[474],"proposes":[475],"paradigm":[478],"infrastructures":[482],"merely":[485],"execute":[486],"it,":[492],"continuously":[494],"anticipate":[495],"prepare":[500],"suitable":[501],"they":[505],"become":[506],"necessary.":[507],"potential":[509],"practical":[510],"advantages":[511,534],"include":[512],"faster":[513],"responses,":[516],"reduced":[517],"geoprocessing,":[519],"more":[520],"efficient":[521],"utilization,":[524],"improved":[526],"responsiveness":[527],"large-scale":[529],"applications.":[532],"These":[533],"remain":[535],"subject":[536],"empirical":[538]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}
