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| PINTO, M. G.; GREGO, C. R.; RODRIGUES, C. A. G.; RODRIGUES, G. C.; SPERANZA, E. A.; LUCHIARI JUNIOR, A.. |
| Este trabalho propõe a investigação da dependência espacial nos atributos da fertilidade do solo em três variedades de café (Mundo Novo, Catucai e Arara) cultivadas numa fazenda em Carmo do Rio Claro, MG. O solo, Latossolo Vermelho-Escuro, foi amostrado de 0-20 cm de profundidade em 25 pontos georreferenciados em cada face de exposição ao sol dos talhões, correspondendo a 50 pontos nas variedades implantadas em duas faces de exposição (Mundo Novo e Catucai) e 25 pontos na área com uma face (Arara). |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Geoestatística; Variabilidade espacial; Cafeicultura de precisão; Geostatistical; Spatial variability; Precision coffee system; Café; Fertilidade do Solo; Geostatistics. |
| Ano: 2022 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1151217 |
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| Grzegozewski,Denise M; Uribe-Opaz,Miguel A; De Bastiani,Fernanda; Galea,Manuel. |
| D.M. Grzegozewski, M.A. Uribe-Opazo, F. De Bastiani, and M. Galea. 2013. Local influence when fitting Gaussian spatial linear models: an agriculture application. Cien. Inv. Agr. 40(3): 523-535. Outliers can adversely affect how data fit into a model. Obviously, an analysis of dependent data is different from that of independent data. In the latter, i.e., in cases involving spatial data, local outliers can differ from the data in the neighborhood. In this article, we used the local influence technique to identify influential points in the response variables using two different schemes of perturbations. We applied this technique to soil chemical properties and soybean yield. We evaluated the effects of the influential points on the spatial model selection,... |
| Tipo: Journal article |
Palavras-chave: Geostatistical; Influence diagnostics; Maximum likelihood; Outliers; Spatial variability. |
| Ano: 2013 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202013000300006 |
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| Filgueiras,Roberto; Oliveira,Vinicius M. R. de; Cunha,Fernando F. da; Mantovani,Everardo C.. |
| ABSTRACT One of the main factors that determine the success of decision-making in the fields is the climatic factor. This way, the geostatistical techniques have been used to represent and understand the spatial or temporal dynamics of meteorological parameters. Therefore, the aim of this research was to represent temporally through thematic maps, the average daily behavior for meteorological variables and the hydric balance for the municipality of Patos de Minas - MG. The climatic data were acquired from the automatic station INMET from the years 1990 to 2015. Later, it was calculated the evapotranspiration and the hydric balance for different capacities of available water in the soil (CAW): 24 mm, 48 mm, 80 mm and 112 mm. The climate variables showed... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Climate; Geostatistical; Ordinary kriging; Thematic maps. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000500705 |
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| MINGOTI, R.; PESSOA, M. C. P. Y.; SIQUEIRA, C. DE A.; MARINHO-PRADO, J. S.. |
| ABSTRACT: Native of Australia, Thaumastocoris peregrinus (Eucalyptus bronze bug) is a Eucalyptus insect pest which was firstly detected in Brazil in June 2008. Some studies have shown favorable areas for T. peregrinus population outbreaks in Brazil, based on georeferenced-crossing information using geographical information system (GIS). Despite that, it is crucial to both enhance the precision of methods used on georeferenced crossings and update information, in order to enable greater precision toward the identification of propitious areas for the occurrence of the insect. The objective of this study was to identify areas with favorable conditions to occurrence of Thaumastocoris peregrinus in Brazil, in at least one month in the year, based on national... |
| Tipo: Artigo de periódico |
Palavras-chave: Bronze bug; Forest; Geostatistical; Spatial analysis; Eucalyptus. |
| Ano: 2021 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1138281 |
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