For more than 100 years, scientists have created soil maps represented as soil polygons with discrete boundaries between soil mapping units. Polygons of various mapping units almost always represent the taxonomic and morphological heterogeneity and are assigned unique values and ranges of soil properties. With the advent of digital soil mapping software and high quality DEM, Online Soil Survey (SSURGO), geographic information systems (GIS) and powerful geo -referencing tools, soil scientists have the technology to provide new approachs for representation and prediction of soil properties based on soil functional homogeneity rather than the morphological or taxonomic heterogeneity. Using a digital soil mapping process developed at Purdue University, the process recognizes the oversimplification introduced in the representation of soils as discrete polygons and uses landscape attributes to develop terrain relationships between soil and landscape properties to create spatially continuous soil property maps. This presentation will demonstrate digital methods to map soil properties such as plant available water, organic carbon content, texture, and depth of soil to name a few. The process of providing predictions of soil properties can be used both internationally and domestically to provide continuous soil property predictions. Examples of digital soil mapping will be presented illustrating mapping projects to illustrate the potential for management, sampling and precision farming decisions.