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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3N2U9TH
Repositorysid.inpe.br/mtc-m21b/2016/12.19.12.43
Last Update2016:12.19.12.43.17 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2016/12.19.12.43.17
Metadata Last Update2023:03.01.23.37.45 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeySantosFerrQueiVinh:2016:SpDaRe
TitleSpatiotemporal data representation in R
Year2016
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size1389 KiB
2. Context
Author1 Santos, Lorena A.
2 Ferreira, Karine Reis
3 Queiroz, Gilberto Ribeiro de
4 Vinhas, Lúbia
Resume Identifier1
2 8JMKD3MGP5W/3C9JHKN
3 8JMKD3MGP5W/3C9JHBC
4 8JMKD3MGP5W/3C9JHM4
Group1 DPI-OBT-INPE-MCTI-GOV-BR
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3 DPI-OBT-INPE-MCTI-GOV-BR
4 DPI-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 lorena.santos@inpe.br
2 karine.ferreira@inpe.br
3 gilberto.queiroz@inpe.br
4 lubia.vinhas@inpe.br
Conference NameBrazilian Symposium on GeoInformatics, 17 (GEOINFO)
Conference LocationCampos do Jordão, SP
Date27-30 nov. 2016
Book TitleAnais
History (UTC)2016-12-19 12:43:28 :: simone -> administrator :: 2016
2018-06-04 02:41:40 :: administrator -> simone :: 2016
2020-05-20 13:52:31 :: simone -> administrator :: 2016
2023-03-01 23:37:45 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typepublisher
AbstractRecent advances in devices that collect geospatial information have produced massive spatiotemporal data sets. Earth observation and GPS satellites, sensor networks and mobile gadgets are examples of technologies that have created large data sets with better spatial and temporal resolution than ever. This scenario brings a challenge for Geoinformatics: we need software tools to represent, process and analyze these large data sets efficiently. R is a environment widely used for data analysis. In this work, we present a study of spatiotemporal data representation in R. We evaluate R packages to access and create three spatiotemporal data types as different views on the same observation set: time series, trajectories and coverage.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Spatiotemporal data representation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Spatiotemporal data representation...
Arrangement 3urlib.net > BDMCI > Fonds > GEOINFO > XVII GEOINFO > Spatiotemporal data representation...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > XVII GEOINFO > Spatiotemporal data representation...
Arrangement 5urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Spatiotemporal data representation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 19/12/2016 10:43 1.0 KiB 
4. Conditions of access and use
data URLhttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3N2U9TH
zipped data URLhttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3N2U9TH
Languageen
Target Filesantos_spatiotemporal.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPDW34P/42T2PKB
8JMKD3MGPDW34P/48F29JE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.22 8
sid.inpe.br/mtc-m16c/2020/07.22.00.33 2
sid.inpe.br/mtc-m16c/2023/01.30.13.05 2
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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7. Description control
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