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Crop Yield in North Dakota as a function of Precipitation Tyler McEwen GIS in Water Resources Term Project Presentation 12/7/2006 Presentation Overview Introduction/Objectives Data Collection Data Manipulation/Computation Results Conclusions North Dakota: Facts • • • • Largest City: Fargo Population 90,672 Total Population 636,677 Total Area 68,676 square miles 21.0 % Total Jobs From Agriculture/Related Work Original Objectives Obtain soil survey for entire state!! Join crops to soil type and Land Use/Land Cover (LULC) data Precipitation calculations and manipulations Interpolate precipitation data Create crop yield predictive model Current Objectives Join crop yield data to county shapefile Perform precipitation calculations and manipulation Interpolate precipitation for 10 years of data Create animations of crop yield versus precipitation Derive correlations Data Sources National Agricultural Statistics Service (NASS) http://www.nass.usda.gov/ National Climate Data Center – Climate Data Online http://cdo.ncdc.noaa.gov/CDO\ National Weather Service OST/SEC GIS Map Group http://www.nws.noaa.gov/geodata/catalog/national/html/us_state.htm InfoPlease.com http://www.infoplease.com/ipa/A0108256.html Precipitation Data Approximated growing season dates Growing Season (May – September) Spring & durum wheat, corn, barley, sugarbeets, flaxseed, soybeans, canola, sunflower, hay and potatoes Extrapolated precipitation data for growing season Data Collection Data Collection Data Manipulation/Calculation Calculated total rainfall during crop growing season Joined rainfall to precipitation stations Interpolated rainfall using Spline method Precipitation Interpolation Results To the animations! Conclusions No correlation between precipitation and crop yield…yet East vs. west correlation Goals Produce more animations Find correlation Special Thanks Grandfather Dr. Maidment Tyler Jansen Fellow students Questions???