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“This dataset provides daily surface meteorological data from 1979 onward, designed for use in agricultural and agroecological studies. Known as AgERA5, it is based on hourly ECMWF ERA5 surface-level data. The acquisition and preprocessing of the original ERA5 data are complex and specialized tasks. By providing the AgERA5 dataset, users can bypass this process and directly access meaningful information for analysis and modeling. The variables provided in this dataset are tailored to meet the input requirements of most agricultural and agroecological models. The data has been aggregated into daily intervals in local time zones and corrected for more accurate topography with a spatial resolution of 0.1°. Corrections were made using grid- and variable-specific regression equations applied to the ERA5 dataset, interpolated to the 0.1° grid. These equations were trained on the high-resolution (HRES) ECMWF operational atmospheric model at a resolution of 0.1°. This adjustment ensures the data aligns with the most accurate topography, land-use patterns, and land-sea delineation of the ECMWF HRES model.”

Geotechnologies: Geotechnologies can be used to map areas of extreme poverty, identify vulnerable populations, and target economic and social development programs.Example: Income distribution maps that help direct resources and policies to the most underserved areas.

R is a programming language widely used for statistical analysis, data mining, and visualization. Many companies have incorporated R into their products and services to leverage these capabilities. Here are some examples of companies integrating R into their products and how they use it:

Volcanoes have always captivated us with their raw power and beauty, and the Pacaya and Arenal volcanoes are no exception. These geological wonders, located in Central America, are prime examples of Strombolian activity—characterized by explosive eruptions that produce incandescent volcanic bombs and slow lava flows.