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.
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 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.
The speaker explicitly states that the four parameter matrices are shown small so they are clearly visible, and that he enlarged the example for demonstration and to avoid confusion. They are simplified examples, not the full-scale study data.
Conditions: The context is a visual demonstration on a slide.; The real study uses full land-cover maps.
The speaker explicitly states that the four parameter matrices are shown small so they are clearly visible, and that he enlarged the example for demonstration and to avoid confusion. They are simplified examples, not the full-scale study data.
Conditions: The context is a visual demonstration on a slide.; The real study uses full land-cover maps.