Spatial modeling via geostatistics and infrared thermography of the skin temperature of dairy cows in a compost barn system in the Brazilian semiarid region

Silva, Marcos Vinícius da; Pandorfi, Héliton; Almeida, Gledson Luiz Pontes de; Silva, Rodes Angelo Batista da; Morales, Kenny Ruben Montalvo; Guiselini, Cristiane; Santana, Taize Calvacante; Cangela, Geraldo Luís Charles de; Filho, José Antônio Delfino Barbosa; Moraes, Alex Souza; Montenegro, Abelardo Antônio de Assunção; Júnior, José Francisco de Oliveira

doi:10.1016/j.atech.2022.100078

Cited by 7 publications

(1 citation statement)

References 25 publications

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“…Semivariogram function fits the spatially autocorrelated paired data points through certain geostatistical procedures. Each set of parameters can fit many empirical models of a semivariogram, such as spherical, circular, quadratic, exponential, rational, tetraspherical, pintaspherical, Gaussian, K-Bessel, J-Bessel, hole effect and stable models (Silva et al, 2023). The selected semivariogram model influences the interpolation of the unknown or missing data.…”

Section: Semivariogram Modelsmentioning

confidence: 99%

Spatial distribution prediction for the ground water quality in Mosul City (Iraq) using variogram equations

Ibrahim

Al-Tamir

2023

srees

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The GIS-aided spatial interpolation was applied on collected groundwater data to predict selected parameters (i.e., pH, electrical conductivity, and temperature) for the selected water wells distributed over Mosul City in Iraq. A descriptive statistical analysis was conducted on collected samples to explore the statistical indices. The skewness test was also employed to test the distribution of data sets around their mean values. The natural logarithms function achieved least skewness values and thus was applied to transfer data sets in order to adjust normality of the data sets distribution. Among all applied semivariogram models, the J-Bessel semivariogram model was optimal in terms of root mean square error (RMSE) values. The average standard errors were 0.2217, 740.5, and 1.209 for pH, EC, and temperature, respectively.

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Section: Semivariogram Modelsmentioning

confidence: 99%