El documento corresponde a las estadisticas agricolas, topografia y climatologia en el departamento de sucre

This is Our fifth notebook: Elevation data in R, written using R Markdown Notebook. It illustrates several functionalities to obtain, process and visualize digital elevation models in R

Estadisticas Agricolas en el Departamento de Sucre, este informe examina datos estadisticos del departamento de Sucre.

It aims at learning how to use the dplyr package for data “editing”. Editing refers to choosing a subset of the variables and/or observations in a dataset, as well as filtering (selecting observations based on their variables values), creating new variables, and more. For such a purpose, we use here the Evaluaciones Agropecuarias Municipales (EVA), a 2007-2018 agriculture statistics data set provided by the Ministerio de Agricultura y Desarrollo Rural.

This is our fourth R notebook. It aims at learning how to join non-spatial attributes to geospatial data. We will illustrate the topic by joining a spatial feature representing municipalities in Sucre (i.e. a shapefile provided by DANE, 2017) and a non-spatial data frame with agriculture statistics (i.e a csv provided by the Ministerio de Agricultura y Desarrollo Rural, 2020).

It illustrates how to make a map with polygons (representing departments in colombia). The reference data set is a shapefile provided by DANE.