Urban query method, device and equipment based on longitude and latitude and storage medium

Abstract

The invention relates to urban query method, device and equipment based on longitude and latitude and storage medium, and relates to the technical field of electronic maps. The method comprises the following steps: acquiring target longitude and latitude; converting the target longitude and latitude into a target Geohash code; based on the target Geohash code, querying in a map index containing the first type of index region to obtain a target Geohash region; in response to the fact that the target Geohash area is a first type index area, determining a target drop point area of the target longitude and latitude in the target Geohash area; and determining a city query result corresponding to the target longitude and latitude based on the target drop point area. Through the method, in the process of performing city query through longitude and latitude, the calculation amount of the computer equipment is reduced, and the search performance of the computer equipment is improved, so that excessive occupation of calculation resources of the computer equipment due to city query is reduced.

Description

technical field [0001] The present application relates to the technical field of electronic maps, in particular to a longitude-latitude-based city query method, device, equipment and storage medium. Background technique [0002] During the use of the electronic map, the user needs to obtain the city information corresponding to the latitude and longitude coordinates by inputting the latitude and longitude coordinates. [0003] In the related technology, by using the R-tree index, using the city boundary to divide, using the minimum adjacency rectangle to establish the leaf nodes, and then building up the intermediate nodes sequentially, so as to improve the search performance of searching the city by latitude and longitude. [0004] However, in the scene of tens of billions of latitude and longitude mapping cities, using the R-tree index will result in a large area of ​​overlapping minimum adjacent rectangles, so it is necessary to use the ray method to judge the relationshi...

AI Technical Summary

Problems solved by technology

[0004] However, in the scene of tens of billions of latitude and longitude mapping cities, using the R-tree index will result in a large area of ​​overlapping minimum adjacent rectangles, so it is necessary to use the ray method to judge the relationship between points and polygons to determine the relationship between points and polygons. relationship, resulting in an excessive amount of calculation, leading to a decrease in search performance, and at the same time causing an excessive occupation of terminal computing resources

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