Referencias

Anscombe, F. J. (1973). Graphs in statistical analysis. American Statistician, 27(1), 17–21.
Biecek, P., & Burzykowski, T. (2021). Explanatory model analysis. Chapman & Hall/CRC Press. https://doi.org/10.1201/9780429027192
Brunson, J. C. (2020). ggalluvial: Layered grammar for alluvial plots. Journal of Open Source Software, 5(49), 2017. https://doi.org/10.21105/joss.02017
Cleveland, W. S. (n.d.). Graphical methods for data presentation: Full scale breaks, dot charts, and multibased logging. The American Statistician, 38(4), 270–280.
Cleveland, W. S. (1981). LOWESS: A program for smoothing scatterplots by robust locally weighted regression. American Statistician, 35(1), 54.
Cleveland, W. S., Grosse, E., & Shyu, W. M. (1992). Local regression models. In J. M. Chambers & T. J. Hastie (Eds.), Statistical models in s. Wadsworth & Brooks/Cole.
Council of European Union. (2024). Regulation (EU) no. 2024/1689 (Artificial Intelligence Act).
Fahrmeir, L., Kneib, T., Lang, S., & Marx, B. D. (2022). Regression: Models, Methods and Applicatons (2nd ed.). Springer-Verlag GmbH. https://doi.org/10.1007/978-3-662-63882-8
Faraway, J. (2022). ’Faraway’: Functions and datasets for books by julian faraway. https://CRAN.R-project.org/package=faraway
Faraway, J. J. (2014). Linear Models with R. Chapman & Hall/CRC Press. https://julianfaraway.github.io/faraway/LMR/
Healy, K. (2019). Data visualization. A practical introduction. Princeton University Press. https://socviz.co/
Heer, J., Bostock, M., & Ogievetsky, V. (2010). A tour through the visualization zoo: A survey of powerful visualization techniques, from the obvious to the obscure. Queue, 8(5), 20--30. https://doi.org/10.1145/1794514.1805128
Holland, J. M., Perry, J. N., & Winder, L. (1999). The within-field spatial and temporal distribution of arthropods within winter wheat. Bulletin of Entomological Research, 89, 499–513. https://doi.org/10.1017/S0007485399000656
Hyndman, R. J., & Athanasopoulos, G. (2021). Forecasting: Principles and practice (3rd ed.). OTexts. https://otexts.com/fpp3/
Lovelace, R., Nowosad, J., & Muenchow, J. (2025). Geocomputation with r. Chapman & Hall. https://r.geocompx.org/
Molnar, C. (2024). Interpretable machine learning (2 ed.). Versión online (en progreso). https://christophm.github.io/interpretable-ml-book/
Molnar, C., Bischl, B., & Casalicchio, G. (2018). iml: An R package for Interpretable Machine Learning. Journal of Open Source Software, 3(26), 786. https://doi.org/10.21105/joss.00786
Moraga, P. (2023). Spatial statistics for data science: Theory and practice with r. Chapman & Hall/CRC Press. https://doi.org/10.1201/9781032641522
Munzner, T. (2015). Visualization analysis and design. A K Peters. http://www.cs.ubc.ca/\%7Etmm/vadbook/
Patil, I. (2021). Visualizations with statistical details: The ’ggstatsplot’ approach. Journal of Open Source Software, 6(61), 3167. https://doi.org/10.21105/joss.03167
Pebesma, E., & Bivand, R. (2023). Spatial data science with applications in r. Chapman & Hall. https://r-spatial.org/book/
Rubio, V. G. (2020). Bayesian inference with INLA. Chapman & Hall/CRC Press. https://doi.org/10.1201/9781315175584
Sarkar, D. (2008). Lattice: Multivariate data visualization with R. Springer. http://lmdvr.r-forge.r-project.org
Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. Proceedings of the 1996 IEEE Symposium on Visual Languages, Boulder, Colorado, USA, September 3-6, 1996, 336–343. https://doi.org/10.1109/VL.1996.545307
Tufte, E. R. (2001). The visual display of quantitative information. Graphics Press LLC.
Tukey, J. W. (1977). Exploratory data analysis (1st ed.). Addison-Wesley Pub.
Wickham, H. (2010). A Layered Grammar of Graphics. Journal of Computational and Graphical Statistics, 19(1), 3–28. https://doi.org/10.1198/jcgs.2009.07098
Wickham, H. (2014). Tidy Data. Journal of Statistical Software, Articles, 59(10), 1–23. https://doi.org/10.18637/jss.v059.i10
Wickham, H., Navarro, D., & Pedersen, T. L. (2024). gglot2: Elegant graphics for data analysis (3 ed.). Versión online (en progreso). https://ggplot2-book.org/
Wilke, C. O. (2019). Fundamentals of data visualization. O’Reilly Media. https://clauswilke.com/dataviz/
Wilkinson, L. (2005). The grammar of graphics (2nd ed.). Springer. https://doi.org/10.1007/0-387-28695-0
Wright, K. (2024). agridat: Agricultural Datasets. https://CRAN.R-project.org/package=agridat