Introduction to Modeling Spatial Processes Using Geostatistcal Analyst

The first step in statistical data analysis is to verify three data features: dependency, stationarity, and distribution. If data are independent, it makes little sense to analyze them geostatisticaly. If data are not stationary, they need to be made so, usually by data detrending and data transformation. Geostatistics works best when input data are Gaussian. If not, data have to be made to be close to Gaussian distribution. Geostatistical Analyst provides exploratory data analysis tools to accomplish these tasks. With information on dependency, stationarity, and distribution you can proceed to the modeling step of the geostatistical data analysis, kriging.