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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
11/07/2022 |
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Data da última atualização: |
29/07/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
CRUZ, E. D.; DIAS FILHO, M. B. |
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Afiliação: |
ENIEL DAVID CRUZ, CPATU; MOACYR BERNARDINO DIAS FILHO, CPATU. |
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Título: |
Chamaecrista rotundifolia: Chamaecrista. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: CORADIN, L.; CAMILLO, J.; VIEIRA, I. C. G. (ed.). Espécies nativas da flora brasileira de valor econômico atual ou potencial: plantas para o futuro: região Norte. Brasília, DF: MMA, 2022. |
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Páginas: |
p. 940-946. |
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Série: |
(Série Biodiversidade, 53). |
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Idioma: |
Português |
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Thesaurus Nal: |
Chamaecrista; Chamaecrista rotundifolia. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144604/1/Plantas-para-o-Futuro-Norte-941-947.pdf
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Marc: |
LEADER 00641naa a2200169 a 4500
001 2144604
005 2022-07-29
008 2022 bl uuuu u00u1 u #d
100 1 $aCRUZ, E. D.
245 $aChamaecrista rotundifolia$bChamaecrista.$h[electronic resource]
260 $c2022
300 $ap. 940-946.
490 $a(Série Biodiversidade, 53).
650 $aChamaecrista
650 $aChamaecrista rotundifolia
700 1 $aDIAS FILHO, M. B.
773 $tIn: CORADIN, L.; CAMILLO, J.; VIEIRA, I. C. G. (ed.). Espécies nativas da flora brasileira de valor econômico atual ou potencial: plantas para o futuro: região Norte. Brasília, DF: MMA, 2022.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
02/05/2012 |
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Data da última atualização: |
09/12/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
TEN CATEN, A.; DALMOLIN, R. S. D.; RUIZ, L. F. C.; MENDONÇA-SANTOS, M. de L. |
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Afiliação: |
MARIA DE LOURDES M SANTOS BREFIN, CNPS. |
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Título: |
Digital soil mapping: strategy for data pre-processing. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: THE GLOBAL WORKSHOPS ON DIGITAL SOIL MAPPING, 5., 10 - 13 Apr. 2012, Sidney. Digital Soil Assessments and Beyond: Sidney, 2012. |
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Páginas: |
1 p. |
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Idioma: |
Português |
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Conteúdo: |
Soil maps have a great deal of ambiguity regarding the exact location of transition zones, which leads pedologists to disagree about the proper delineation of soil classes at those locations. The aim of this study was to propose a preprocessing strategy applied to digital soil mapping. Soil polygons on a training map were displaced in its inward direction by 100 and 160 m. This strategy has enabled that data covariates located near the borders of soil classes were not used for Decision Tree (DT) model adjusting. Three DT models derived from eight predictors covariates, related to the soil formation factors relief and organisms, were sampled in a complete soil map and by polygons displaced 100 and 160 m, in order to be used to predict soil classes. The DT model derived from observations distant 160 m of the boundary between polygons in the original map was less complex and shown a better predictive performance. |
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Palavras-Chave: |
Digital mapping; Strategic information. |
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Thesaurus NAL: |
soil. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/70632/1/Digital-soil-mapping-strategy-for-data-pre-processing-GEOSTAT-courses.pdf
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Marc: |
LEADER 01555nam a2200193 a 4500
001 1923510
005 2014-12-09
008 2012 bl uuuu u00u1 u #d
100 1 $aTEN CATEN, A.
245 $aDigital soil mapping$bstrategy for data pre-processing.$h[electronic resource]
260 $aIn: THE GLOBAL WORKSHOPS ON DIGITAL SOIL MAPPING, 5., 10 - 13 Apr. 2012, Sidney. Digital Soil Assessments and Beyond: Sidney$c2012
300 $a1 p.
520 $aSoil maps have a great deal of ambiguity regarding the exact location of transition zones, which leads pedologists to disagree about the proper delineation of soil classes at those locations. The aim of this study was to propose a preprocessing strategy applied to digital soil mapping. Soil polygons on a training map were displaced in its inward direction by 100 and 160 m. This strategy has enabled that data covariates located near the borders of soil classes were not used for Decision Tree (DT) model adjusting. Three DT models derived from eight predictors covariates, related to the soil formation factors relief and organisms, were sampled in a complete soil map and by polygons displaced 100 and 160 m, in order to be used to predict soil classes. The DT model derived from observations distant 160 m of the boundary between polygons in the original map was less complex and shown a better predictive performance.
650 $asoil
653 $aDigital mapping
653 $aStrategic information
700 1 $aDALMOLIN, R. S. D.
700 1 $aRUIZ, L. F. C.
700 1 $aMENDONÇA-SANTOS, M. de L.
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