Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Meng, Qingmin
Committee Member
Rodgers, John C., III
Committee Member
Cooke, William H., III
Committee Member
Brown, Michael E.
Date of Degree
12-11-2015
Document Type
Graduate Thesis - Open Access
Major
Geosciences
Degree Name
Master of Science
College
College of Arts and Sciences
Department
Department of Geosciences
Abstract
Agricultural soil properties exhibit variation over field plot scales that can ultimately effect the yield. This study performs multiple spatial pattern analyses in order to design spatially dependent regression models to better understand the interaction between these soil properties. The Cation Exchange Capacity (CEC) and Calcium-Magnesium Ratio (CaMgR) are analyzed with respect to Calcium, Magnesium, and soil moisture values. The CEC and CaMgR are then used to determine impact on the yield values present for the field. Results of this study show a significant measure of model parsimony (0.979) for the Geographically Weighted Regression (GWR) model of the CEC with free Ca, Mg, and soil moisture as explanatory variables. The model for CaMgR using the same explanatory variables has a much lower measure of model fit. The yield model using the CEC and CaMgR as explanatory variables is also low, which is representative of the underlying processes also impacting yield.
URI
https://hdl.handle.net/11668/18961
Recommended Citation
McCarn, Corrin Jared, "Spatial Pattern Analysis of Agricultural Soil Properties using GIS" (2015). Theses and Dissertations. 4015.
https://scholarsjunction.msstate.edu/td/4015
Comments
Cation Exchange Capacity||Calcium-Magnesium Ratio||agricultural soil||spatial pattern analysis||GIS