The cellular automata model processes test pixels one by one. After finishing the rule check for one pixel, it advances to the next pixel and repeats the same threshold evaluation across the other raster datasets.
Conditions: Processing is sequential over pixels in the main raster.; The same transition-rule procedure is applied to each test pixel.
The cellular automata model processes test pixels one by one. After finishing the rule check for one pixel, it advances to the next pixel and repeats the same threshold evaluation across the other raster datasets.
Conditions: Processing is sequential over pixels in the main raster.; The same transition-rule procedure is applied to each test pixel.
For a selected test pixel, the algorithm compares the corresponding values in the auxiliary layers against user-defined thresholds. If the threshold requirement is met, the cell value is changed to 1, interpreted as built-up growth.
Conditions: A test pixel is selected from the main raster.; Each relevant auxiliary layer value is compared with its user-defined threshold.; Transition occurs only when the threshold requirement is satisfied.
For a selected test pixel, the algorithm compares the corresponding values in the auxiliary layers against user-defined thresholds. If the threshold requirement is met, the cell value is changed to 1, interpreted as built-up growth.
Conditions: A test pixel is selected from the main raster.; Each relevant auxiliary layer value is compared with its user-defined threshold.; Transition occurs only when the threshold requirement is satisfied.
The model uses a main raster plus four auxiliary raster layers: Road distance, CBD distance, Population density, and Slope. Each layer is represented as a small matrix aligned with the main raster so that the same row and column can be compared cell by cell.
Conditions: All displayed matrices have the same number of rows and columns.; The auxiliary layers are used as inputs for threshold checking.
The model uses a main raster plus four auxiliary raster layers: Road distance, CBD distance, Population density, and Slope. Each layer is represented as a small matrix aligned with the main raster so that the same row and column can be compared cell by cell.
Conditions: All displayed matrices have the same number of rows and columns.; The auxiliary layers are used as inputs for threshold checking.