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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3SEPG82
Repositorysid.inpe.br/mtc-m21c/2018/12.26.13.21   (restricted access)
Last Update2018:12.26.13.21.29 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2018/12.26.13.21.29
Metadata Last Update2019:01.14.17.06.41 (UTC) administrator
DOI10.1117/12.2500574
ISSN1018-4732
Citation KeyAmoreKampFrou:2018:GeApMe
TitleGeostatistical approach for meteo-oceanographic variables evaluation at the Brazilian coast
Year2018
Access Date2024, May 08
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size4618 KiB
2. Context
Author1 Amore, Diogo de Jesus
2 Kampel, Milton
3 Frouin, Robert
Resume Identifier1
2 8JMKD3MGP5W/3C9JHTG
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Scripps Institution of Oceanography
Author e-Mail Address1 amore182@gmail.com
2 milton.kampel@inpe.br
JournalProceedings of SPIE
Volume10778
Pages107780v
Secondary MarkB1_MATERIAIS B3_ODONTOLOGIA B3_INTERDISCIPLINAR B5_MEDICINA_III B5_MEDICINA_II B5_ENGENHARIAS_II B5_BIOTECNOLOGIA C_QUÍMICA C_MEDICINA_I C_ENGENHARIAS_IV C_ENGENHARIAS_III C_CIÊNCIAS_BIOLÓGICAS_III C_CIÊNCIAS_BIOLÓGICAS_II C_CIÊNCIAS_BIOLÓGICAS_I C_ASTRONOMIA_/_FÍSICA C_ARTES_/_MÚSICA
History (UTC)2018-12-26 13:21:44 :: simone -> administrator :: 2018
2019-01-14 17:06:41 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsGWR
geostatistics
sea surface temperature
photosynthetically active radiation
chlorophyll-a
AbstractMODIS chlorophyll-a concentration (chla), sea surface temperature (SST), and photosynthetically active radiation (PAR) were used to perform a geographically weighted regression (GWR) analysis within a 150-km buffer of the Brazilian coast. The correlation was between chla as the regressed variable and SST or PAR as the predictors. Both a GWR and a Bayesian GWR (BGWR) were used for evaluating the variables. Colored matrices were plotted for displaying beta values, significance, residuals, and t-statistics. Coefficients of determination (R2 ) were computed for all months. Also, the ratio of the GWR beta estimates and the 95% confidence interval BGWR estimates was computed. Results showed overall better R2 for SST than for PAR regression but also better beta estimates for PAR than for SST in relation to BGWR beta significance range. Northern regions of the Brazilian coast exhibited lower statistical significance. July had lowest GWR beta values and best significance, January highest beta values and worst significance, and April and October highly variable results.
AreaSRE
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4. Conditions of access and use
Languageen
Target Fileamore_geostatistical.pdf
User Groupsimone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
DisseminationPORTALCAPES
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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