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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Identifier8JMKD3MGPDW34P/45U7FN5
Repositorysid.inpe.br/mtc-m16c/2021/12.09.11.20
Last Update2021:12.09.11.20.47 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m16c/2021/12.09.11.20.48
Metadata Last Update2023:01.30.13.07.53 (UTC) administrator
ISSN2179-4847
Citation KeySilvaMatSanMouDom:2021:EvSeMa
TitleEvaluating a self-organizing map approach to cluster a Brazilian agricultural diversity spatial panel data
FormatOn-line.
Year2021
Access Date2024, May 15
Secondary TypePRE CN
Number of Files1
Size1564 KiB
2. Context
Author1 Silva, Marcos A. S. da
2 Matos, Leonardo N.
3 Santos, Flávio Emanuel de O.
4 Moura, Fábio R. de
5 Dompieri, Mácia H. G.
Affiliation1 Embrapa Tabuleiros Costeiros
2 Universidade Federal de Sergipe (UFS)
3 Universidade Federal de Sergipe (UFS)
4 Universidade Federal de Sergipe (UFS)
5 Embrapa Territorial
Author e-Mail Address1 marcos.santos-silva@embrapa.br
2 leonardo.matos@dcomp.ufs.br
3 flavioemanuel859@gmail.com
4 fabiromoura@gmail.com
5 marcia.dompieri@embrapa.br
EditorVinhas, Lubia (INPE)
Graça, Alan J. Salomão (UERJ)
Conference NameSimpósio Brasileiro de Geoinformática, 22 (GEOINFO)
Conference LocationOn-line
Date29 nov. a 02 dez. 2021
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Book TitleAnais
Tertiary TypeFull paper
History (UTC)2021-12-09 11:21:30 :: simone -> administrator :: 2021
2023-01-30 13:07:53 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractBrazil has a substantial diversity of agricultural activities that pose challenges to developing public policies for the sector. Characterizing the evolution of this diversity in time and space is of paramount importance both for agribusiness and for small producers. Based on annual estimates of agricultural production, it is possible to group Brazilian municipalities according to their trajectory over the years. In this work, these estimates were used to calculate the annual agricultural diversity per municipality-category, and cluster them according to the proposed method based on the Self-Organizing Map that is usually more suitable for large datasets with non-convex structure. Results showed that the proposed method is suitable for the Brazilian agricultural spatial panel data and presented better results when compared with the k-means and Genelarized Linear Mixture Model method.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > GEOINFO > XXII GEOINFO > Evaluating a self-organizing...
Arrangement 2urlib.net > Fonds > Produção a partir de 2021 > CGCT > XXII GEOINFO > Evaluating a self-organizing...
Arrangement 3urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Evaluating a self-organizing...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPDW34P/45U7FN5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPDW34P/45U7FN5
Languageen
Target FileSilva_evaluating.pdf
User Groupsimone
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.19
Rightsholderoriginalauthor yes
5. Allied materials
Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/07.04.20.21
Next Higher Units8JMKD3MGPDW34P/462CM9S
8JMKD3MGPDW34P/48F29JE
Citing Item Listsid.inpe.br/mtc-m16c/2021/12.16.19.25 2
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition group holdercode isbn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
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