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Colloquium
September 12 (Fri) 11 a.m.
Alavi Commons Room, 6625 Everett Tower

Predicting Soil Potassium Content on a 10x25 grid using Kriging

Barbie Bugna
Department of Statistics
Western Michigan University

The purpose of this study is to predict the soil potassium content of a region using kriging methods in spatial analysis. The data consists of 250 sample points across the region divided into 170 and 80 sample points for analysis and test data set, respectively. An exploratory data analysis is done on the observed locations followed by trend fitting and anisotropy evaluation via variograms. After which, kriging estimates are computed. Finally, a cross validation is done using the remaining 80 observations to see if the analysis is reliable.

This analysis was completed as part of the doctoral preliminary exam process in the Department of Statistics.

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