A Method for Generating Urban Cognitive Maps Based on Internet Word Frequency
A cognitive map, Internet technology, applied in geographic information databases, special data processing applications, instruments, etc., can solve the problems of difficult quantitative analysis of cognition and difficult to reflect urban cognitive maps.
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Embodiment 1
[0081] In the traditional sense, the analysis and design process of urban space is biased towards the qualitative process, based on the traditional data and following the subjective cognition of the designer, which lacks rationality and scientificity. Today, new data obtained from online "crowdfunding" can not only expand public participation, but also drive planning and design through quantitative analysis methods.
[0082] like figure 1 As shown, the method for generating a city cognitive map in this embodiment uses network data for "crowdfunding" analysis, emphasizing the heuristic role of quantitative analysis, including the following steps:
[0083] 1) Form editing
[0084] First, within a given geographical range, determine the place names and road names in the research area, then edit the current CAD, add the city place name point elements, extract the line elements of the road center line, and then establish the block block surface elements according to the road line ...
Embodiment 2
[0161] This embodiment is an application example. Taking the urban area of Wuning County, Jiujiang City, Jiangxi Province as the research object, the method of the above-mentioned embodiment 1 is practiced, and a new urban space cognition is proposed from the network point of view by using big data and small samples. The traditional urban image forms a complementary relationship and also improves the urban planning investigation system.
[0162] 1) Form editing
[0163] 1.1) Classify place names in Wuning County according to urban roads, landmark buildings / structures, sections, mountains, and water bodies, and collect important place names of the city (Wuning-like The number of place names in small towns is relatively small, and a full sample can be used to generate a list of place names), a total of 165 nouns were found, including 59 urban roads, 43 landmarks / structures, 41 lots, 5 water bodies, and 17 mountains , as shown in Table 1 below.
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