Urban functional area identification process based on space-time semantic mining

A technology of urban function and space-time semantics, applied in semantic analysis, character and pattern recognition, natural language data processing, etc., can solve problems such as high labor costs and difficult long-term dynamic monitoring of urban functional areas

Pending Publication Date: 2021-11-09
武汉市中城事大数据有限责任公司
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Problems solved by technology

[0002] Most of the traditional urban functional zoning studies are based on data obtained from satellite remote sensing, questionnaire surveys, and field visits, supplemented by an index system for the identification of urban functional area

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  • Urban functional area identification process based on space-time semantic mining
  • Urban functional area identification process based on space-time semantic mining
  • Urban functional area identification process based on space-time semantic mining

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Embodiment Construction

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on The embodiments of the present invention and all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] see Figure 1-5 , the present invention provides a technical solution:

[0037] A recognition process of urban functional areas based on spatio-temporal semantic mining, including documents, words, extruded functional units, spatio-temporal data, topic models, document topic distribution, and unit function distribution. In the analogy of text topic mining, the basic functional unit is equivalent to the document in the corpus, and the spa...

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Abstract

The invention discloses an urban functional area identification process based on space-time semantic mining, which comprises documents, words, basic functional units, space-time data, a topic model, document topic distribution and unit function distribution, and is characterized in that firstly, hidden functions of an area are tried to discover through the topic model, compared with a text theme mining, the basic function units are equivalent to the documents in a corpus, space-time data in the basic function unit is similar to words in the document, unit function distribution obtained after passing through the topic model is equivalent to document topic distribution, and the used city space-time data is representative Sina microblog position sign-in data. Each piece of sign-in data comprises user information, space coordinates of sign-in positions, publishing time, publishing texts and the like. Dynamic activity modes of people can be reflected from different angles, meanwhile, POIs in a research area are obtained from a Baidu map, and function recognition of the area is achieved.

Description

technical field [0001] The invention relates to the technical field of urban functional area identification, in particular to an urban functional area identification process based on spatio-temporal semantic mining. Background technique [0002] Traditional urban functional zoning studies are mostly based on data obtained from satellite remote sensing, questionnaire surveys, and field visits, supplemented by index systems to identify urban functional areas [1-3], but these methods consume too much labor cost, Moreover, there are subjective factors of investigators in the analysis process, which makes it difficult to accurately conduct long-term dynamic monitoring of urban functional areas. Contents of the invention [0003] The object of the present invention is to provide a high-performance anti-oxidation polyethylene plastic to solve the problems raised in the above-mentioned background technology. [0004] In order to achieve the above object, the present invention pro...

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Application Information

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IPC IPC(8): G06Q10/10G06F40/30G06F40/289G06F16/35G06K9/62
CPCG06Q10/103G06F40/30G06F40/289G06F16/355G06F18/23213G06F18/214
Inventor 孙勇蔡绍硕蔡同建
Owner 武汉市中城事大数据有限责任公司
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