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Abstract Hard red winter wheat (Triticum aestivum L.; HRWW) is broadly grown in Great Plains and northwestern states in the United States. Knowing how wheat quality characteristics are correlated across space may help wheat buyers locate grain elevators that have wheat with the quality characteristics they need. The objective of this study was to determine the spatial pattern of quality factors of HRWW. Mixed effects regression modeling was used to estimate mean quality characteristics for each location. These estimates are then reported in geospatial maps to illustrate the spatial pattern of quality factors. Expected local wheat quality had strong spatial correlation over a large distance. Residuals show substantial spatial correlation, which suggests that having a survey each year provides new information to wheat buyers. Geospatial maps clearly illustrate the locations in the HRWW growing region that have the primary characteristics of interest that buyers seek.