Our current work involves landuse prediction using CA-Markov model in IDRISI. As an intermediate step, suitability image is to be created using CellAtom option in IDRISI. One of the inputs in CellAtom is reclass file (.RCL). There is an option for reclass but please clarify by what means the values are to be used for reclassification.
I have one doubt. What explanation do you give to create the "suitability image" by using CellAtom? Normally, the suitability images for CA_MARKOV is created from Multi-Criteria Evaluation (expert knowledge), Logistic regression (empirical knowledge), etc
Our basic assumption is that there is a possibility of one class changing into other classes (for which reclass tool is used mentioning what classes can change into what other classes) and that influence of each pixel on target pixel decreases with the increase in distance between the pixels, i.e) near pixels are influenced more than farther pixels (for which user-defined filter is used). Thus output of cell automation will be what are the pixels changed to other classes, which gives finally the suitability image.
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