Abstract
AbstractData organization, analysis, and documentation have long been a concern in the soil survey process. Existing computer aided systems are often either not widely available, not “user friendly,” or not very applicable to field mapping situations. These concerns are addressed using a simulation approach. A statistical model of the landscape and soils in the survey area is described. The data base used in the soil ‐landscape model consists of discrete sample points that are randomly distributed (for soil taxa only), mutually exclusive, and independent. The data are representative of other site characteristics. The concepts of statistical estimation, conditional probability, quantified prediction improvement, and selective sorting are applied to use the model in the mapping process. Applications include systematic development of soil‐landscape relationships and legends; documented justification for decisions as to data adequacy, soil interpretations, map unit differentia, variability, and taxonomic descriptions; and increasing accuracy of soil correlation. Programs are standard and widely available.
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