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.

该 issue 没有指出任何 repository 文件、测试或实现入口。首先明确 Markov 链和元胞自动机的预期行为、输入和输出矩阵的格式，以及应如何对已建成单元和可选参数进行加权。完成的标准是就实现范围达成一致，并根据预期的未来土地利用结果进行验证。

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