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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3UHQUCS
Repositorysid.inpe.br/mtc-m21c/2019/12.12.11.46
Last Update2019:12.12.11.46.24 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/12.12.11.46.24
Metadata Last Update2019:12.13.16.40.14 (UTC) administrator
DOI10.14393/rbcv70n5-45036
ISSN0560-4613
1808-0936
Citation KeySánchezVQSGALC:2018:ExDaAn
TitleReproducible geospatial data science: exploratory data analysis using collaborative analysis environments
Year2018
Access Date2024, Apr. 20
Type of Workconference paper
Secondary TypePRE PN
Number of Files1
Size480 KiB
2. Context
Author1 Sánchez, Alber
2 Vinhas, Lubia
3 Queiroz, Gilberto Ribeiro de
4 Simões, Rolf Ezequiel de Oliveira
5 Gomes, Vitor
6 Assis, Luiz Fernando Ferreira Gomes de
7 Llapa, Eduardo
8 Câmara, Gilberto
Resume Identifier1
2 8JMKD3MGP5W/3C9JHM4
3 8JMKD3MGP5W/3C9JHBC
4
5
6
7
8 8JMKD3MGP5W/3C9JHB8
Group1 COCST-COCST-INPE-MCTIC-GOV-BR
2 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5
6 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
7 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
8 DIDPI-CGOBT-INPE-MCTIC-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)
5 Instituto de Estudos Avançados (IEAv)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 albhasan@gmail.com
2 lubia.vinhas@inpe.br
3 gilberto.queiroz@inpe.br
4 rolf.simoes@inpe.br
5 vitor@ieav.cta.br
6 luizffga@dpi.inpe.br
7 edullapa@dpi.inpe.br
8 gilberto.camara@inpe.br
JournalRevista Brasileira de Cartografia
Volume70
Number5
Pages1844-1859
Secondary MarkA2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ARQUITETURA_E_URBANISMO B1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA B1_CIÊNCIAS_AMBIENTAIS B2_GEOCIÊNCIAS B3_ENGENHARIAS_I B4_ENGENHARIAS_III B4_CIÊNCIAS_SOCIAIS_APLICADAS_I B5_ENGENHARIAS_IV B5_ENGENHARIAS_II B5_CIÊNCIAS_AGRÁRIAS_I B5_BIODIVERSIDADE C_ZOOTECNIA_/_RECURSOS_PESQUEIROS C_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA C_CIÊNCIAS_BIOLÓGICAS_I C_ASTRONOMIA_/_FÍSICA
History (UTC)2019-12-12 11:46:24 :: simone -> administrator ::
2019-12-12 11:46:24 :: administrator -> simone :: 2018
2019-12-12 11:47:17 :: simone -> administrator :: 2018
2019-12-13 16:40:14 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsReproducible science
data analysis
time series
AbstractThe answers to planetary problems could be hidden in gigabytes of satellite imagery from the last 40 years. Unfortunately, scientists lack the means for processing such amount of data as they are used to work over small quantities of satellite images. To amend this issue, we propose the use of web services from Big Earth data platforms along collaborative analysis environments. Both Web services and collaborative analysis environments fit the hypothesis-test workflow followed by researchers while writing analysis routines. Besides, the early use of Big Earth data structures eases the subsequent process of scaling analysis up to larger extensions. To test our proposal, we use our own Big Earth observation data platform, on which decades of satellite images are arranged into data cubes. By using our Web services platform, we integrate those data cubes into our collaborative analysis environment (a Jupyter notebook). Since our analysis routines consume the same data structure of the whole data sets, it is easier to scale up the analysis.
AreaCST
Arrangement 1urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Reproducible geospatial data...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Reproducible geospatial data...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Reproducible geospatial data...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 12/12/2019 08:46 1.0 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/3UHQUCS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/3UHQUCS
Languageen
Target FileSánchez et al. - 2018 - Reproducible geospatial data science Exploratory data analysis using collaborative analysis environments.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/3F3T29H
Citing Item Listsid.inpe.br/bibdigital/2013/10.19.20.40 3
sid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/mtc-m21/2012/07.13.14.53.44 2
DisseminationPORTALCAPES
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Notes“XIX Brazilian Syposium on GeoInformatics”
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
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