SVM-GCA (Support Vector Machine-based Geographical Cellular Automata)-based urban spatial development simulation and prediction method
A prediction method and urban technology, applied in the field of simulation and prediction technology of urban space development, to achieve the effect of less sample quantity, high calculation efficiency and high precision
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[0038] The technical solution of the present invention will be described in detail below in conjunction with the urban space development embodiment of Chengdu and the accompanying drawings.
[0039] Such as figure 1 Shown:
[0040] S1. Establish an urban cellular automaton model SVM-GCA based on support vector machines, including:
[0041] S11. Define the state of the urban cell: using a square cell, the state of the urban cell is the land use property of the urban land corresponding to the cell, 1 indicates that the cell is urban land, and -1 indicates that the cell is non-urban land;
[0042] S12. Determine the neighborhood relationship of the city cell: the Moore-type neighborhood is used, and the 8 adjacent cells under the cell are called the neighborhood of the cell, and the neighborhood radius is 1. In this model, in the n-dimensional cell space, the number of neighbors of a cell is 3 n -1. While the Moore-type neighborhood ensures the accuracy, the amount of calcula...
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