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| Registros recuperados: 11 | |
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| Prudente,Victor H. R.; Souza,Carlos H. W. de; Mercante,Erivelto; Johann,Jerry A.; Uribe-Opazo,Miguel A.. |
| In the current study, we performed a soybean production spatial distribution analysis in Paraná State. Seven crop-year data, from 2003-04 to 2009-10, obtained from the Paraná Department of Agriculture and Supply (SEAB) were used to develop a Boxmap for each crop-year, show soybean production throughout this time interval. Moran's index was used to measure spatial autocorrelation among municipalities at an aggregate level, while LISA index local correlation. For each index, different contiguity matrix and order were used and there was a significance level study. As a result, we have showed spatial relationship among cities regarding the production, which allowed the indication of high and low production clusters. Finally, identifying main soybean-producing... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Spatial correlation; Moran's Index; LISA index. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000400015 |
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| Siqueira,Diego Silva; Marques Júnior,José; Teixeira,Daniel De Bortoli; Matias,Sammy Sidney Rocha; Camargo,Livia Arantes; Pereira,Gener Tadeu. |
| Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Detailed mapping; Geostatistics; Indirect quantification; Pedometrics; Scaled semivariogram; Spatial correlation. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000901349 |
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| Sarmiento, Camilo; Wilson, William W.. |
| This article estimates factors that impact location decisions by new ethanol plants using logistic regression analysis and spatial correlation techniques. The results indicate that location decisions are impacted by the agricultural characteristics of a county, competition, and state-level subsidies. Spatial competition is particularly important. Existence of a competing ethanol plant reduces the likelihood of making a positive location decision and this impact decreases with distance. State-level subsidies are significant and a very important factor impacting ethanol location decisions. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Ethanol; Location decisions; Spatial correlation; Agribusiness. |
| Ano: 2008 |
URL: http://purl.umn.edu/6175 |
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| Ozaki, Vitor Augusto. |
| This paper analyses the spatial pattern of the agricultural yield data. Using the spatial statistics, it is possible to estimate some parameters of the semivariogram to study the problem of the systemic risk, which has great implications for the crop insurance program in Brazil. In particular, the “range” parameter was estimated. This parameter measures the distance, in which the spatial correlation tends to zero. For the empirical analysis, county yield data was used provided by IBGE, for soybean and corn, in the state of Paraná, through 1990 and 2002. The results showed that there is spatial dependence in every year analysed, going to zero in relatively long distances (in km). |
| Tipo: Journal Article |
Palavras-chave: Crop insurance; Systemic risk; Spatial correlation; Semivarioram.; Agribusiness; Q19. |
| Ano: 2008 |
URL: http://purl.umn.edu/61239 |
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| Registros recuperados: 11 | |
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