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Map Unit Interpretation ProbabilityCreating maps to represent soil component interpretations or soil properties, either with a geographic information system (GIS) or with an electronic soil survey viewer, requires that each map unit delineation have a single value to display. However, soil map units commonly consist of several major and minor components, this requires decisions on how to process a map unit with multiple components. Processed components represent a portion of the total components in the map unit delineation and thus their interpretation represents only a portion of the map unit. The probability the user will encounter that interpretation can be estimated by the percent composition the interpretation occupies within the map unit. There are potentially four common ways a user may want to process multiple component map unit interpretations.
Connotative color maps provide the user with the easiest to view and use interpretation maps. Implementing connotative colored interpretation maps for ranked limitation, the classic green to red for slight to severe provide a good solution. The use of probability classes provide a means to rank each limitation rating class with gradation of color intensity (light to dark) and provide the user with easy to use information about the interpretation probability of the map unit. Example how this might be implemented: Probability Color Classes % Intensity Rating Class Color 75 to 100 Darkest Very Severe Red 50 to 75 to Severe Pink 25 to 50 " Moderate Yellow 0 to 25 Lightest Slight Green Map units with a 75 to 100 percent probability of severe would be the darkest pink, while map units with a 25 to 50 percent probability of severe would be nearly the lightest pink. This method would create a map, grouping interpretation ratings with the same color hue and separating their probabilities with the intensity of hue. Examples of the four ways to process map unit interpretations follow. The user will have the ability to dynamically define the minimum percent composition of major components to be used for the interpretation. The examples use the same theoretical map unit data set, with 10 percent defined as the major component and the resulting soil interpretation map is shown.
Dominant Component by PercentThe component that makes up the largest percent composition is used to interpret the map unit delineation. The probability for the interpretation of the map unit delineation is based on the percent composition of the dominant component plus the percentage of components with the same interpretation rating. Data: Map unit Component Percent Interpretation
Symbol Name Composition value rating class
AbA Able 50 0.60 severe
Beta 30 0.40 moderate
Delta 20 0.40 moderate
AbC Able 40 0.60 severe
Delta 40 0.40 moderate
Fox 15 0.60 severe
Under 5 0.35 moderate
BdA Beta 75 0.40 moderate
Fox 10 0.60 severe
Delta 10 0.40 moderate
Able 5 0.60 severe
Map: Interpretation Rating Classes: Fuzzy Value Rating Class 0.8-1.0 Very Severe 0.49-0.79 Severe 0.20-0.48 Moderate 0.0-0.19 Slight Most Limiting Major ComponentThe most limiting interpretation rating of a major component is used to interpret the map unit delineation. The probability of the interpretation for the map unit delineation is based on the percent composition of the component with the most limiting rating plus the percent composition of components with the same rating. Data: Map unit Component Percent Interpretation
Symbol Name Composition value rating class
AbA Able 50 0.60 severe
Beta 30 0.40 moderate
Delta 20 0.40 moderate
AbC Able 40 0.60 severe
Delta 40 0.40 moderate
Fox 15 0.60 severe
Under 5 0.35 moderate
BdA Beta 75 0.40 moderate
Fox 10 0.60 severe
Delta 10 0.40 moderate
Able 5 0.60 severeMap: Interpretation Rating Classes: Fuzzy Value Rating Class 0.8-1.0 Very Severe 0.49-0.79 Severe 0.20-0.48 Moderate 0.0-0.19 Slight Least Limiting Major ComponentThe least limiting interpretation of a major component is used to interpret the map unit delineation. The probability for the interpretation of the map unit delineation is based on the percent composition of the component with the least limiting rating plus the percentages of components with the same rating. Data: Map unit Component Percent Interpretation
Symbol Name Composition value rating class
AbA Able 50 0.60 severe
Beta 30 0.40 moderate
Delta 20 0.40 moderate
AbC Able 40 0.60 severe
Delta 40 0.40 moderate
Fox 15 0.60 severe
Under 5 0.35 moderate
BdA Beta 75 0.40 moderate
Fox 10 0.60 severe
Delta 10 0.40 moderate
Able 5 0.60 severeMap: Interpretation Rating Classes: Fuzzy Value Rating Class 0.8-1.0 Very Severe 0.49-0.79 Severe 0.20-0.48 Moderate 0.0-0.19 Slight Weighted Average InterpretationWeighted average interpretation for major components is calculated based on the percent composition (on a 100 percent base) and the interpretation fuzzy value. The weighted average fuzzy value is reclassed into the appropriate rating class. Data: Map unit Component Percent 100 Interpretation
Symbol Name Comp. Bases value Wt. Calc. rating class
AbA Able 50 50 0.60 0.30 severe
Beta 30 30 0.40 0.12 moderate
Delta 20 20 0.40 0.08 moderate
Wt.ave- 0.50 severe
AbC Able 40 42 0.60 0.252 severe
Delta 40 42 0.40 0.168 moderate
Fox 15 16 0.60 0.096 severe
Under 5 0.35 moderate
Wt.ave- 0.516 severe
BdA Beta 75 79 0.40 0.316 moderate
Fox 10 10.5 0.60 0.063 severe
Delta 10 10.5 0.40 0.042 moderate
Able 5 0.60 severe
Wt.ave- 0.421 moderateMap: Interpretation Rating Classes: Fuzzy Value Rating Class 0.8-1.0 Very Severe 0.49-0.79 Severe 0.20-0.48 Moderate 0.0-0.19 Slight |
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