Data conversion method based on multi-way tree node relationship matching

Abstract

The invention provides a data conversion method based on multi-way tree node relation matching. The method comprises the steps: serializing an SQL expression into a one-dimensional character array, and constructing a character feature data set to be matched with the one-dimensional character array to obtain an expression segmentation result; constructing a multi-way tree node array, and determining a hierarchical relationship and a father-child relationship between nodes to obtain simplified expression values of the nodes; constructing an sql operator array, segmenting expression values of nodes in the multi-way tree node array into character string arrays, and constructing an expression conversion rule in combination with the sql operator array; converting the expression value of each node to obtain a conversion value, and respectively assigning values to the node value, the expression value and the Mapbox expression value of the node according to the conversion value; and finally, performing inter-level replacement on the to-be-solved expression value of the node. The method has the advantages that the SQL expression is used for replacing the Mapbox expression to carry out geographic entity query in the user-oriented vector map illustration operation, so that the operation difficulty can be reduced, and the operation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of cartography and geographic information engineering, and in particular relates to a data conversion method based on multi-tree node relationship matching. Background technique [0002] The Mapbox-GL map engine supports custom style design and high-efficiency batch rendering for client-oriented vector tile map interactive rendering tasks, but the data filtering expression syntax that comes with the Mapbox-GL engine uses an infix expression similar to Lisp syntax However, the grammar expresses abstraction, lacks natural language logic, has poor interactivity, and is complex to construct. [0003] In many domestic Mapbox-GL-based graphical and interactive mapping systems, developers only graphically design the style of vector tiles, and do not conduct much research on the secondary screening of data at the front end. The reason is that the data screening module generated by graphical design directly using Ma...

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a user-friendly and accurate method for screening map data, which is used to solve the problem of the existing Mapbox engine's self-contained data filter grammatical expression abstraction, lack of natural language logic, Problems such as poor interactivity and complex construction can avoid problems such as high difficulty, low efficiency, and large errors in map assignments caused by writing complex Mapbox expressions

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