Data Processing Technologies in Agroindustry
Code
11376
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Ciências da Terra
Credits
6.0
Teacher in charge
José António de Almeida, Sofia Verónica Trindade Barbosa
Weekly hours
4
Total hours
56
Teaching language
Português
Prerequisites
None.
Subject matter
Review of statistical analysis and probability theory. Display data with graphics. Categorical and continuous variables. Auxiliary variables. Univariate and bivariate analysis. Center position, spread, asymmetry and kurtosis. Frequencies. Correlation and similitude. Probability. Uncertainty. Random variables. Probability distribution laws. Binomial and Poisson laws. Normal distribution law. Tests of hypothesis. Monte Carlo simulation. Regression. Generalized linear models. Spatio-temporal models. Growth curves. Multivariate analysis. Principal component analysis. Hierarchical and nonhierarchical (K-means) clustering methods. Analysis of variance (ANOVA). Correspondence analysis. Spatial analysis of continuous variables and modelling. Spatial covariance and variogram. Kriging estimation and posterior validation. Introduction to R platform. Import and export data to R. Objects inside R. Graphical visualization.
Bibliography
[1] Gotelli, N.J., Ellison, A.M. (2004) A Primer Of Ecological Statistics, Sinauer Associates Inc, 511pp.
[2] McGarigal, K., Cushman, S., Stafford, S. (2000) Multivariate Statistics for Wildlife and Ecology Research, Springer, 283 pp.
[3] Plant, R.E. (2012) Spatial Data Analysis in Ecology and Agriculture Using R, CRC Press.
[4] Burkhart, H.E., Tomé, M. (2012) Modeling Forest Trees and Stands, Springer, 457pp.
[5] Isaaks, E.H., Srivastava, R.M., 1989. Applied Geostatistics. Oxford University Press, 561 pp.