The attributes or layers that affect each submodel need to be identified. For example, steep slopes might be favorable in the terrain submodel but detrimental for the cost of building submodels.
This submodel may identify flatter slopes as well as those close to power and water as being favorable.Ĭertain attributes or layers can be in multiple submodels. Included in the submodel can be access from major cities as well as local road access.Ī cost submodel can identify the locations that would be optimal to build on. Making sure people can reach the ski area can be captured in an accessibility submodel. The first submodel can be a terrain submodel identifying locations that have a wide variety of favorable terrain for skiers and snowboarders.
Using visual understanding environment layer series#
Most overlay problems are complex and it is recommended that you break them down into submodels for clarity, to organize your thoughts, and to more effectively solve the overlay problem.įor example, a suitability model for identifying the best location for a ski resort can be broken into a series of submodels that should help the ski area be profitable. All factors that are identified in the model should help the ski area be profitable. In the problem definition, specific measures should be established to identify the success of the outcome from the model.įor example, when identifying the best location for a ski resort, the overall goal may be to make money. Not only is it important to identify what the problem is, a clear understanding needs to be developed to define when the problem is solved, or when the phenomenon is satisfied. However, a clear definition of each component and how they interact must be established. Some of the components may be complementary and others competitive. The components relating to the objective must be defined. All aspects of the remaining steps of the overlay modeling process must contribute to this overall objective. The overall objective must be identified.
Define the problemĭefining the problem is one of the most difficult aspects of the modeling process. Steps 1 through 3 are common steps for nearly all spatial problem solving and are particularly important in overlay analysis.
For instance, choosing the site for a new housing development means assessing such things as land cost, proximity to existing services, slope, and flood frequency. Overlay analysis often requires the analysis of many different factors. Where the locations are that are most susceptible to mudslides.Where economic growth is most likely to occur.Which sites are better for deer habitat.Where to site a new housing development.Types of problems addressed by suitability analysis include the following: Suitability models identify the best or most preferred locations for a specific phenomenon. It is a technique for applying a common scale of values to diverse and dissimilar inputs to create an integrated analysis. Overlay analysis is a group of methodologies applied in optimal site selection or suitability modeling.
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