{"id":"https://openalex.org/W3193476804","doi":"https://doi.org/10.1145/3469830.3470896","title":"Where have all the larvae gone? Towards Fast Main Pathway Identification from Geospatial Trajectories","display_name":"Where have all the larvae gone? Towards Fast Main Pathway Identification from Geospatial Trajectories","publication_year":2021,"publication_date":"2021-08-19","ids":{"openalex":"https://openalex.org/W3193476804","doi":"https://doi.org/10.1145/3469830.3470896","mag":"3193476804"},"language":"en","primary_location":{"id":"doi:10.1145/3469830.3470896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469830.3470896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International Symposium on Spatial and Temporal Databases","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/A5079355914","display_name":"Carola Trahms","orcid":"https://orcid.org/0000-0003-1055-1896"},"institutions":[{"id":"https://openalex.org/I4210153089","display_name":"GEOMAR Technologie GmbH - GTG","ror":"https://ror.org/000jewp25","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153089"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Carola Trahms","raw_affiliation_strings":["Geomar, Germany"],"affiliations":[{"raw_affiliation_string":"Geomar, Germany","institution_ids":["https://openalex.org/I4210153089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091497167","display_name":"Patricia Handmann","orcid":"https://orcid.org/0000-0002-5901-4680"},"institutions":[{"id":"https://openalex.org/I4210153089","display_name":"GEOMAR Technologie GmbH - GTG","ror":"https://ror.org/000jewp25","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153089"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patricia Handmann","raw_affiliation_strings":["Geomar, Germany"],"affiliations":[{"raw_affiliation_string":"Geomar, Germany","institution_ids":["https://openalex.org/I4210153089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081281215","display_name":"Willi Rath","orcid":"https://orcid.org/0000-0003-1951-8494"},"institutions":[{"id":"https://openalex.org/I4210153089","display_name":"GEOMAR Technologie GmbH - GTG","ror":"https://ror.org/000jewp25","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153089"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Willi Rath","raw_affiliation_strings":["Geomar, Germany"],"affiliations":[{"raw_affiliation_string":"Geomar, Germany","institution_ids":["https://openalex.org/I4210153089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088254346","display_name":"Martin Visbeck","orcid":"https://orcid.org/0000-0002-0844-834X"},"institutions":[{"id":"https://openalex.org/I4210153089","display_name":"GEOMAR Technologie GmbH - GTG","ror":"https://ror.org/000jewp25","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153089"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Visbeck","raw_affiliation_strings":["Geomar, Germany"],"affiliations":[{"raw_affiliation_string":"Geomar, Germany","institution_ids":["https://openalex.org/I4210153089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016653456","display_name":"Matthias Renz","orcid":"https://orcid.org/0000-0002-2024-7700"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Kiel University","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Renz","raw_affiliation_strings":["Kiel University, Germany"],"affiliations":[{"raw_affiliation_string":"Kiel University, Germany","institution_ids":["https://openalex.org/I32021983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079355914"],"corresponding_institution_ids":["https://openalex.org/I4210153089"],"apc_list":null,"apc_paid":null,"fwci":0.3047,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53752535,"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":"126","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"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":0.9987999796867371,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9810000061988831,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9639000296592712,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.8382988572120667},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8131999969482422},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7387106418609619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6522076725959778},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.576208770275116},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5645394921302795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.470143586397171},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3909178674221039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22933357954025269},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17555135488510132},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.11905616521835327},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10420665144920349},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09105539321899414}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8382988572120667},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8131999969482422},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7387106418609619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522076725959778},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.576208770275116},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5645394921302795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.470143586397171},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3909178674221039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22933357954025269},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17555135488510132},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.11905616521835327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10420665144920349},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09105539321899414},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3469830.3470896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469830.3470896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International Symposium on Spatial and Temporal Databases","raw_type":"proceedings-article"},{"id":"pmh:oai:oceanrep.geomar.de:54051","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400264","display_name":"Helmholtz Centre for Ocean Research Kiel (GEOMAR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34403800","host_organization_name":"GEOMAR Helmholtz Centre for Ocean Research Kiel","host_organization_lineage":["https://openalex.org/I34403800"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"    [Paper] In: 17. International Symposium on Spatial and Temporal Databases, SSTD 2021, 23.-25.08.2021, Online  ; pp. 126-129 .  ","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1981398125","https://openalex.org/W2012580531","https://openalex.org/W2097268493","https://openalex.org/W2126194848","https://openalex.org/W2561675875","https://openalex.org/W2947451474","https://openalex.org/W2994943641","https://openalex.org/W3005637319","https://openalex.org/W4394044225"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4362512700","https://openalex.org/W4366547507","https://openalex.org/W2074396925"],"abstract_inverted_index":{"The":[0,17],"distribution":[1],"of":[2,19,25,34,67,75,78,106],"passively":[3],"drifting":[4,35],"particles":[5,36],"within":[6],"highly":[7],"turbulent":[8],"flows":[9],"is":[10,88],"a":[11,43,53,97],"classic":[12],"problem":[13],"in":[14,64,108],"marine":[15,27,110],"sciences.":[16],"use":[18],"trajectory":[20,28,68,83],"clustering":[21,84],"on":[22,96],"huge":[23],"amounts":[24,66],"simulated":[26,91],"data":[29,44,94],"to":[30,59],"identify":[31,61],"main":[32,62],"pathways":[33,63],"has":[37],"not":[38],"been":[39,102],"widely":[40],"investigated":[41],"from":[42],"science":[45,111],"perspective":[46],"yet.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"fast":[54],"and":[55,81],"computationally":[56],"light":[57],"method":[58],"efficiently":[60],"large":[65],"data.":[69],"It":[70],"aims":[71],"at":[72],"overcoming":[73],"some":[74],"the":[76,109],"issues":[77],"probabilistic":[79],"maps":[80],"existing":[82],"approaches.":[85],"Our":[86],"approach":[87],"evaluated":[89],"against":[90],"larvae":[92],"dispersion":[93],"based":[95],"real-world":[98],"model":[99],"that":[100],"have":[101],"produced":[103],"as":[104],"part":[105],"work":[107],"domain.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
