Neighborhood effect mode construction method and system considering spatial heterogeneity, and CA simulation method and system

Abstract

The invention discloses a neighborhood effect mode construction method and system considering spatial heterogeneity, and a CA simulation method and system. A neighborhood range of a central cell is obtained through introducing a Delaunay triangulation network clustering method under multiple constraints, and a final constraint type cell multi-order irregular neighborhood is constructed through combining a spatial proximity relation recognized by a triangulation network and the neighborhood range; and the similarity and the difference of cellular conversion rules in different neighborhoods are mined by performing spatial metric factor distance attenuation sequence clustering on historical data and establishing a neighborhood effect pattern library. According to the invention, the heterogeneous rule is adopted to define the proximity relation of the cells, the space distribution complexity characteristic is considered, the difference of the land parcel interaction range is reflected, and the land utilization change rule can be truly reflected. The land utilization interactive differentiation rule hidden in the vector space is mined from historical data, numerical value calibration with huge workload is avoided, and subjective and one-sided problems are not prone to occurring.

Description

Technical field [0001] The present invention relates to the field of cellular automata and utilization of land, particularly, to a neighborhood effects into account the mode of construction and spatial heterogeneity CA simulation method and system. Background technique [0002] Cellular Automata (CA) model is a common land use change simulation model that can simulate the interaction of complex dynamic pattern based on the macro-micro simple cellular, land-use change or so in the field of urban growth has an important role. In cellular automata model among the neighborhood it refers to a range that can have an impact on cellular center, which contents include a neighborhood defined neighborhood modeling and effects. Unlike raster Cellular Automata homogeneous neighborhood vector Cellular Automata Cellular Element since different size, shape, number of neighborhood range and neighborhood Cellular are likely not the same, no longer symmetrical shapes , defined neighborhood becomes ...

AI Technical Summary

Problems solved by technology

Since the existing vector cellular automaton model is based on the assumption of spatial homogeneity, consistent rules are generally used to define the neighbor relationship of cells, and the spatial distribution complexity characteristics such as uneven distribution of geographic entities and different shapes are not considered. It also does not reflect the differences in the range of land-block interactions. At the same time, it does not pay enough attention to the cellular transition probability of the comprehensive impact of multiple land types and the complex land-use interaction, resulting in the inability to truly reflect the law of land use change. There are still many problems that need to be further studied. The research questions, such as: (1) The recognition rules of the vector cell neighbor relationship do not consider the complexity of the spatial distribution of land use

(2) The neighborhood range of the vector cell does not consider the difference of the local interaction range

(3) The influence calculation of vector cell neighborhood effect does not take into account the diversity of land use spatial interaction modes

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