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 functions to create clear graphics and run common statistical analyses for agricultural experiments (ANOVA with post-hoc tests such as Tukey HSD and Duncan MRR, coefficient of variation, and simple power calculations), streamlining exploratory analysis and reporting. Functions build on 'ggplot2' and base 'stats' and follow methods widely used in agronomy (field trials, plant breeding). Key references include Tukey (1949) <doi:10.2307/3001913>, Duncan (1955) <doi:10.2307/3001478>, 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 funciones para generar gráficos claros y ejecutar análisis habituales en ensayos agrícolas (ANOVA con pruebas post-hoc como Tukey HSD y Duncan MRR, coeficiente de variación y cálculos simples de potencia), facilitando el análisis exploratorio y la elaboración de reportes. Los métodos implementados se basan en Tukey (1949) <doi:10.2307/3001913>, Duncan (1955) <doi:10.2307/3001478> y Cohen (1988, ISBN:9781138892899); ver también 'agricolae' <https://CRAN.R-project.org/package=agricolae> y Wickham (2016, ISBN:9783319242750) para 'ggplot2'.