EESC 7771G Geostatistics

30 hours lecture; 30 hours lab; 3 credits

This course will introduce students to the fundamentals of data exploration and applied inferential statistics within the context of datasets relevant for earth and environmental sciences. Major topics include statistical description of data; collection of data; probability; hypothesis testing; variance; correlation; spatial analysis; multivariate analysis; sampling considerations; graphical display of data; common distribution models; and regression. Course material related to statistical concepts will be complemented with hands-on training and data analysis using statistical programming software such as R, SPSS, Python, Matlab, or Excel.



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