Space cost distance computing method based on raster data

Abstract

The invention provides a space cost distance calculating method based on the grid spatial data. The method inputs data representing space information through a ruled data format, the data describes the cost information of space access. Then on the input basis, the necessary smallest space cost distance value and path from an arbitrary position to another space position in the space is calculated. Through extending one grid value to nine values, on the basis of not changing the space position corresponding to the central grid, the cost relationship to the surrounding grids is intuitively described. The method can describe the passing distance differences between different directions in the hypsography areas; by using the calculating method, the conditions of mountainous areas, semi-closed roads, and one-way roads can be described and processed, therefore, the grid cost distance calculated result is closer to the fact, which meets the need of practical applications.

Description

technical field [0001] The invention relates to a spatial data processing method, which is a method of inputting data representing spatial information in a prescribed data form, the data describes the cost information of space travel, and then on the basis of this input, it is calculated to arrive at another location at any position in the space. The minimum space cost distance value and path method required by the space position. Background technique [0002] Commonly used spatial distance calculation methods include direct calculation of the Euclidean distance between two points and the spatial cost distance that requires different costs for passing through different spatial units. Space cost distance calculation is a form of space distance calculation, which is used to analyze the consumption of certain costs including time, fuel, and money required to reach another location in space. [0003] Commonly used spatial cost distance calculation methods include calculation me...

AI Technical Summary

Problems solved by technology

The existing calculation of spatial cost distance based on vector data is difficult to calculate and analyze the spatial position outside the vector network. The existing calculation method based on raster data will consider the cost value of a grid unit uniformly, and only according to different passing directions The difference of the Euclidean distance of the space passed is multiplied by the coefficient, and it is generally assumed that the cost consumption of different passing directions of a space unit is approximate and has nothing to do with the passing mode (direction). This assumption makes it more useful in analyzing practical problems. Large scale

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