Urban multi-source data-based street space quality measurement evaluation method and system
A multi-source data and evaluation method technology, applied in data processing applications, resources, character and pattern recognition, etc., can solve the problem of inaccurate street spatial measurement data, achieve refined measurement and control, improve accuracy, and broaden research range effect
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[0053] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0054] With the support of crowd-sourced geographic big data, the model-based method evaluates the quality of street space through scientific data analysis and big data mining methods, and provides an operable, scientific and reasonable space optimization model. Crowdsource geographic data has the advantages of large amount of data, strong current situation, abundant sources, and low cost. Based on the bottom-up collection characteristics of crowd-sourced geographic data, researchers can easily obtain city-wide, massive, and personal-based spatio-temporal information, so as to achieve fine geographic analysis and modeling, and provide better insights for the study of street functions. Serve.
[0055] The present invention is an extended application based on the deep learning model. On the basis of the previous space ...
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