{"id":"https://openalex.org/W3036651496","doi":"https://doi.org/10.1007/s10182-020-00373-6","title":"A non-homogeneous Poisson process geostatistical model with spatial deformation","display_name":"A non-homogeneous Poisson process geostatistical model with spatial deformation","publication_year":2020,"publication_date":"2020-06-18","ids":{"openalex":"https://openalex.org/W3036651496","doi":"https://doi.org/10.1007/s10182-020-00373-6","mag":"3036651496"},"language":"en","primary_location":{"id":"doi:10.1007/s10182-020-00373-6","doi":"https://doi.org/10.1007/s10182-020-00373-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10182-020-00373-6","pdf_url":null,"source":{"id":"https://openalex.org/S181700594","display_name":"AStA Advances in Statistical Analysis","issn_l":"1863-8171","issn":["1863-8171","1863-818X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AStA Advances in Statistical Analysis","raw_type":"journal-article"},"volume":null,"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/A5010661649","display_name":"Fidel Ernesto Castro Morales","orcid":"https://orcid.org/0000-0002-7227-8023","observed_orcids":["https://orcid.org/0000-0002-7227-8023","https://orcid.org/0000-0002-1021-7719"]},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Fidel Ernesto Castro Morales","raw_affiliation_strings":["Universidade Federal do Rio Grande do Norte, Natal, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7227-8023","affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024437191","display_name":"Lorena Vicini","orcid":"https://orcid.org/0000-0002-9959-6902","observed_orcids":["https://orcid.org/0000-0002-9959-6902"]},"institutions":[{"id":"https://openalex.org/I33501960","display_name":"Universidade Federal de Santa Maria","ror":"https://ror.org/01b78mz79","country_code":"BR","type":"education","lineage":["https://openalex.org/I33501960"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lorena Vicini","raw_affiliation_strings":["Universidade Federal de Santa Maria, Santa Maria, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Maria, Santa Maria, Brazil","institution_ids":["https://openalex.org/I33501960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010661649"],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":null,"fwci":1.4588,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80571773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"104","issue":"3","first_page":"503","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.01940000057220459,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/non-homogeneous-poisson-process","display_name":"non-homogeneous Poisson process","score":0.9919999837875366},{"id":"https://openalex.org/keywords/counting-processes","display_name":"counting processes","score":0.6819999814033508},{"id":"https://openalex.org/keywords/intensity-function","display_name":"intensity function","score":0.8080000281333923},{"id":"https://openalex.org/keywords/spatial-deformation","display_name":"spatial deformation","score":0.8920000195503235},{"id":"https://openalex.org/keywords/anisotropic-covariance","display_name":"anisotropic covariance","score":0.796999990940094},{"id":"https://openalex.org/keywords/gaussian-processes","display_name":"Gaussian processes","score":0.9610000252723694},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.640999972820282},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8090000152587891},{"id":"https://openalex.org/keywords/rainfall","display_name":"rainfall","score":0.3059999942779541},{"id":"https://openalex.org/keywords/precipitation-frequency","display_name":"precipitation frequency","score":0.40700000524520874},{"id":"https://openalex.org/keywords/maranhao","display_name":"Maranh\u00e3o","score":0.8870000243186951},{"id":"https://openalex.org/keywords/piaui","display_name":"Piau\u00ed","score":1.0}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6466164588928223},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.6184208393096924},{"id":"https://openalex.org/C155051063","wikidata":"https://www.wikidata.org/wiki/Q1290919","display_name":"Cox process","level":4,"score":0.582676112651825},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5589134097099304},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5125265121459961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5089435577392578},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5043879747390747},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.490984708070755},{"id":"https://openalex.org/C154881674","wikidata":"https://www.wikidata.org/wiki/Q2269270","display_name":"Variogram","level":3,"score":0.48868682980537415},{"id":"https://openalex.org/C2781104640","wikidata":"https://www.wikidata.org/wiki/Q11827313","display_name":"Counting process","level":2,"score":0.4794663190841675},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4725978970527649},{"id":"https://openalex.org/C125572338","wikidata":"https://www.wikidata.org/wiki/Q1440020","display_name":"Geostatistics","level":3,"score":0.4294179081916809},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42538028955459595},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3989076018333435},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.38063618540763855},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.32172197103500366},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.312061607837677},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.2784380316734314},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1280355155467987},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10182-020-00373-6","doi":"https://doi.org/10.1007/s10182-020-00373-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10182-020-00373-6","pdf_url":null,"source":{"id":"https://openalex.org/S181700594","display_name":"AStA Advances in Statistical Analysis","issn_l":"1863-8171","issn":["1863-8171","1863-818X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AStA Advances in Statistical Analysis","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:alstar:v:104:y:2020:i:3:d:10.1007_s10182-020-00373-6","doi":null,"is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10182-020-00373-6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W189523115","https://openalex.org/W1549853756","https://openalex.org/W1575120176","https://openalex.org/W1586596509","https://openalex.org/W1611522588","https://openalex.org/W1897900286","https://openalex.org/W1968264869","https://openalex.org/W1981890344","https://openalex.org/W1997999159","https://openalex.org/W2032457349","https://openalex.org/W2037516052","https://openalex.org/W2040850257","https://openalex.org/W2050497240","https://openalex.org/W2056760934","https://openalex.org/W2067911981","https://openalex.org/W2079263973","https://openalex.org/W2080007702","https://openalex.org/W2091804476","https://openalex.org/W2108193906","https://openalex.org/W2138309709","https://openalex.org/W2146932984","https://openalex.org/W2148534890","https://openalex.org/W2189049422","https://openalex.org/W2409376861","https://openalex.org/W2437710353","https://openalex.org/W2468181943","https://openalex.org/W2763449867","https://openalex.org/W2905296953","https://openalex.org/W2911413438","https://openalex.org/W2963259601","https://openalex.org/W4253124386","https://openalex.org/W4285719527","https://openalex.org/W4300569655","https://openalex.org/W6810079005","https://openalex.org/W6830022694"],"related_works":["https://openalex.org/W1557457215","https://openalex.org/W1538824559","https://openalex.org/W1602215339","https://openalex.org/W1988057927","https://openalex.org/W647875031","https://openalex.org/W133728297","https://openalex.org/W3119723522","https://openalex.org/W2381380170","https://openalex.org/W122917801","https://openalex.org/W181150283"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}