Bayesian spatio-temporal modeling of the Brazilian fire spots between 2011 and 2022.

Saved in:
Bibliographic Details
Title: Bayesian spatio-temporal modeling of the Brazilian fire spots between 2011 and 2022.
Authors: Pimentel JS; Department of Statistics, Federal University of Pernambuco, Recife, Pernambuco, Brazil., Bulhões RS; Department of Statistical Methods, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.; Department of Statistics, Federal University of Bahia, Salvador, Bahia, Brazil., Rodrigues PC; Department of Statistics, Federal University of Bahia, Salvador, Bahia, Brazil. paulocanas@gmail.com.; Department of Statistics, Islamic University of Indonesia, Jogjakarta, Indonesia. paulocanas@gmail.com.
Source: Scientific reports [Sci Rep] 2024 Sep 16; Vol. 14 (1), pp. 21616. Date of Electronic Publication: 2024 Sep 16.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39285167
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Bayesian spatio-temporal modeling of the Brazilian fire spots between 2011 and 2022.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Pimentel+JS%22">Pimentel JS</searchLink>; Department of Statistics, Federal University of Pernambuco, Recife, Pernambuco, Brazil.<br /><searchLink fieldCode="AU" term="%22Bulhões+RS%22">Bulhões RS</searchLink>; Department of Statistical Methods, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.; Department of Statistics, Federal University of Bahia, Salvador, Bahia, Brazil.<br /><searchLink fieldCode="AU" term="%22Rodrigues+PC%22">Rodrigues PC</searchLink>; Department of Statistics, Federal University of Bahia, Salvador, Bahia, Brazil. paulocanas@gmail.com.; Department of Statistics, Islamic University of Indonesia, Jogjakarta, Indonesia. paulocanas@gmail.com.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2024 Sep 16; Vol. 14 (1), pp. 21616. <i>Date of Electronic Publication: </i>2024 Sep 16.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39285167
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-024-70082-6
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 21616
    Titles:
      – TitleFull: Bayesian spatio-temporal modeling of the Brazilian fire spots between 2011 and 2022.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pimentel JS
      – PersonEntity:
          Name:
            NameFull: Bulhões RS
      – PersonEntity:
          Name:
            NameFull: Rodrigues PC
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 16
              M: 09
              Text: 2024 Sep 16
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1