1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/3UHQUCS |
Repository | sid.inpe.br/mtc-m21c/2019/12.12.11.46 |
Last Update | 2019:12.12.11.46.24 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2019/12.12.11.46.24 |
Metadata Last Update | 2019:12.13.16.40.14 (UTC) administrator |
DOI | 10.14393/rbcv70n5-45036 |
ISSN | 0560-4613 1808-0936 |
Citation Key | SánchezVQSGALC:2018:ExDaAn |
Title | Reproducible geospatial data science: exploratory data analysis using collaborative analysis environments |
Year | 2018 |
Access Date | 2024, July 27 |
Type of Work | conference paper |
Secondary Type | PRE PN |
Number of Files | 1 |
Size | 480 KiB |
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2. Context | |
Author | 1 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 Identifier | 1 2 8JMKD3MGP5W/3C9JHM4 3 8JMKD3MGP5W/3C9JHBC 4 5 6 7 8 8JMKD3MGP5W/3C9JHB8 |
Group | 1 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 |
Affiliation | 1 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 Address | 1 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 |
Journal | Revista Brasileira de Cartografia |
Volume | 70 |
Number | 5 |
Pages | 1844-1859 |
Secondary Mark | A2_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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Reproducible science data analysis time series |
Abstract | The 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. |
Area | CST |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Reproducible geospatial data... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Reproducible geospatial data... |
Arrangement 3 | Reproducible geospatial data... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/3UHQUCS |
zipped data URL | http://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/3UHQUCS |
Language | en |
Target File | Sánchez et al. - 2018 - Reproducible geospatial data science Exploratory data analysis using collaborative analysis environments.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | urlib.net/www/2017/11.22.19.04.03 |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3EU2H28 8JMKD3MGPCW/3F3T29H |
Citing Item List | sid.inpe.br/bibdigital/2013/10.01.23.43 9 sid.inpe.br/bibdigital/2013/09.09.15.05 8 sid.inpe.br/bibdigital/2013/10.19.20.40 8 |
Dissemination | PORTALCAPES |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Notes | “XIX Brazilian Syposium on GeoInformatics” |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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