Creation of a Spatiotemporal Map of Continent-wide Pesticide Consumption for Crop Production in the Period Between 1990 and 2020 Using the R Software

Many random variables experience both spatial and temporal variability. In scientific terminology these variables have been called spatiotemporal variables. For example most of the data on agriculture, geography, medicine, etc have a spatiotemporal nature. To have a suitable understanding of these variables, it is a good idea to present them on a map having an animated format. One of the best platforms that can perform this duty is R. The reasons of popularity of R is as follows: R is an open-source, platform-independent, still growing software. It has lots of packages and is great for statistical analysis. R is well suited for Machine Learning, and lets you perform data wrangling. The R contains a package named t-map that can be used to create spatiotemporal maps. In this report, the creation of a spatiotemporal map of pesticide consumption per unit area for crop production in different continents between 1990 and 2020 with the aid of the open source R software has been summarized. The aim of this report to introduce this software Therefore, it focuses only on the methodology of map creation with the final goal of motivating agriculturalists to use this software in presenting their future studies.