Information on the quality of data, represented by uncertainty, is underrated and disregarded across geospatial visualization tools. As the use of big data and data analytics continues to play an increasing role across virtually all industries, it is crucial that data quality is taken in to consideration by appropriately quantifying and representing uncertainties in final products used to support decisions. This serves to increase trust and improve the value of the information presented to stakeholders.