Map-oriented news multi-scale visualization method

Abstract

The invention relates to a multi-scale visualization method for news, which is used for realizing map-oriented network news multi-scale expression and comprises the following steps: 1) crawling different news events within a certain time period, acquiring news text contents, titles and publishing time, and storing news sources; 2) geocoding the crawled news to obtain a news place and corresponding latitude and longitude coordinates; 3) performing scale division on the news according to place names involved in the news; 4) performing span calculation on the news according to the longitude and latitude of the related place in the news; and 5) constructing a map visualization model according to the scale and span of the news, thereby displaying the news with the corresponding scale and span according to different map scaling scales. According to the method, the scale of the news and the scale of the map are combined, multi-scale presentation of the news data is achieved, the browsing dimension of news information is increased, news browsing and reading are more convenient and efficient, and the news multi-scale visualization technology under the space-time dimension is achieved.

Description

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AI Technical Summary

Benefits of technology

The technical effect described in this patented method allows users to extract relevant messages from various types of media such as newspapers or websites without being restricted within their own borders. It also includes techniques like identifying specific locations based upon location codes (LACs) embedded into these documents), creating hierarchies between them, displaying multiple levels of detail at varying degrees of resolution, enhancing visual appeal when navigating through large amounts of multimedia material, improving image quality during scrolling over long distances, etc., resulting in better user experience across diverse areas.

Problems solved by technology

The technical problem addressed by this patented technology relates to how to define different levels or dimensions (such as size) within large amounts of content that are visually appealing without overlapping them together. This allows users to easily see what they want from multiple sources at once - one source may be more accurate than another.

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