This paper presents the spatial and temporal characteristics of Kenya’s annual rainfall data in context of climate variability. The paper will analyze rainfall in Kenya for a period of 5 years from 2011 to 2015. Rainfall data was obtained from 26 stations in Kenya, out of total 34 synoptic stations which were analyzed at monthly, seasonal and annual scales. Monthly Climate Research Unit (CRU) and Global Precipitation Climate Centre (GPCC) data sets were used Modeling of Gaussian spatial-temporal processes provide ample opportunity for different model formulations, however two principal directions have emerged. The data can be modeled either as a set of spatially varying temporal basis functions or as spatial fields evolving in time. This package provides maximum-likelihood estimation and cross validation tools for the first case. Development of the package was motivated by the need to provide accurate spatial-temporal predictions for rainfall in Kenya.