Spatial modeling of energy balance and actual 
    evapotranspiration using satellite images and meteorological data. 
    Options of satellite are: Landsat-8 (with and without thermal bands), 
    Sentinel-2 and MODIS. Respectively spatial resolutions are 30, 100, 
    10 and 250 meters. User can use data from a single meteorological 
    station or a grid of meteorological stations (using any spatial 
    interpolation method). Silva, Teixeira, and Manzione (2019) <doi:10.1016/j.envsoft.2019.104497>.

Calculates concentration and dispersion in ordered rating scales. It implements various measures of concentration and dispersion to describe what researchers variably call agreement, concentration, consensus, dispersion, or polarization among respondents in ordered data. It also implements other related measures to classify distributions. In addition to a generic city-block based concentration measure and a generic dispersion measure, the package implements various measures, including van der Eijk's (2001) <DOI: 10.1023/A:1010374114305> measure of agreement A, measures of concentration by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke, Reardon, and Garcia-Montalvo and Reynal-Querol. Furthermore, the package provides an implementation of Galtungs AJUS-system to classify distributions, as well as a function to identify the position of multiple modes.

Set of tools for statistical analysis, visualization, and reporting of
    agroindustrial and agricultural experiments. The package provides functions
    to perform ANOVA with post-hoc tests (e.g. Tukey HSD and Duncan MRR),
    compute coefficients of variation, and generate publication-ready summaries.
    High-level wrappers allow automated multi-variable analysis with optional
    clustering by experimental factors, as well as direct export of results to
    Excel spreadsheets and high-resolution image tables for reporting.
    Functions build on 'ggplot2', 'stats', and related packages and follow
    methods widely used in agronomy (field trials and plant breeding).
    Key references include Tukey (1949) <doi:10.2307/3001913>,
    Duncan (1955) <doi:10.2307/3001478>, and Cohen (1988, ISBN:9781138892899);
    see also 'agricolae' <https://CRAN.R-project.org/package=agricolae>
    and Wickham (2016, ISBN:9783319242750> for 'ggplot2'.
    Versión en español: Conjunto de herramientas para el análisis estadístico,
    visualización y generación de reportes en ensayos agroindustriales y
    agrícolas. Incluye funciones para ANOVA con pruebas post-hoc,
    resúmenes automáticos multivariables con o sin agrupamiento por factores,
    y exportación directa de resultados a Excel e imágenes de alta resolución
    para informes técnicos.