Three levels of R language involvement in global monitoring plan warehouse architecture

Abstract

Three different options for involving R statistical software in the infrastructure of the data warehouse and visualization tool of the Global Monitoring Plan for persistent organic pollutants are presented, all differing in their demands with respect to data transfer rates, numbers of concurrently connected users, total amounts of data transferred, and the possibilities of repeating statistical calculations within a short period. After the development stage, two of these options were used at different levels of the system, demonstrating the specificity of their use and enabling the deployment of the powerful features of R statistical software by a system created using conventional programming languages.