Urban growth modelling and prediction using markov chain and cellular automata

Sir, I need to create a kernel of size 3X3 to run it over a lulc classified image of time 't1' treating the lulc as a matrix of nXm size. After which it is expected to generate a new matrix of same size as that of out base matrix, the new matrix will be our lulc image of time 'T2' in future. The kernel should contain properties of Markov Chain and Cellular Automata and should give weightage to any of the parameters( distance from roads, population density, distance from CBD or DEM) or all of them as per our convenience. The base matrix which I have got values ranging from 1 to 4. It shows different classes like 1-vegetation, 2-water body, 3-built-up and 4-other classes. We are interested only on the built-up.

The kernel should be intelligent enough to logically change the values of classes, mainly class 3. The kernel should work on each cell one by one considering it's neighboring cells. The no. of cells of different classes falling in the 3x3 zone of any particular cell should be taken care of. Like how many pixels of class built-up are there around a cell or the class vegetation or others.

El issue no menciona archivos del repositorio, pruebas ni un punto de entrada de la implementación. Empieza por aclarar el comportamiento esperado de la cadena de Markov y los autómatas celulares, el formato de las matrices de entrada y salida, y cómo deben ponderarse las celdas urbanizadas y los parámetros opcionales. Se considerará terminado cuando se haya acordado el alcance de la implementación y se haya validado con los resultados esperados del uso futuro del suelo.

Escrito por el modelo de indexación a partir del texto del issue.