The study validates the model using a 'hidden trial' method: it uses the 1989 land cover map to predict 1994, assesses the accuracy, and then iteratively manipulates the thresholds until the desired accuracy is met. This process is repeated across time slices (e.g., using 1994 actual to predict 1999).
Conditions: Historical land cover maps are available for multiple years.; The model requires calibration of transition thresholds.
The study validates the model using a 'hidden trial' method: it uses the 1989 land cover map to predict 1994, assesses the accuracy, and then iteratively manipulates the thresholds until the desired accuracy is met. This process is repeated across time slices (e.g., using 1994 actual to predict 1999).
Conditions: Historical land cover maps are available for multiple years.; The model requires calibration of transition thresholds.
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.