points of interest (poi) data (Baidu Inc)
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Points Of Interest (Poi) Data, supplied by Baidu Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/points+of+interest+(poi)+data/points+of+interest++pois+/pmc12265954-303-6-3
Average 90 stars, based on 1 article reviews
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other:Article Title: A systematic review on the associations between built environment and mental health among older people Article Snippet: One study utilized Article Title: Research on the Interactive Relationship of Spatial Expansion between Estuarine and Coastal Port Cities Article Snippet: Points of interest (POI) data were obtained from the Article Title: Spatial syntax analysis on the renewal of the external space of mining heritage buildings —— A case study of Zollverein Coal Mine Industrial Complex Article Snippet: The renovation of external spaces of mining heritage buildings should respect their historical and cultural value and be adapted to the specific characteristics of the mining area for spatial restructuring and functional replacement.. Current research often relies on subjective experience and focuses on qualitative analysis, lacking in-depth quantitative analysis.. Building upon the summary of research on mining heritage exterior spaces and spatial syntax studies, this paper proposes a research methodology that quantitatively analyzes the accessibility and integration of mining heritage exterior spaces using spatial syntax convex space and axis map models. Article Title: A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence Article Snippet: Big geo-data are often aggregated according to spatio-temporal units for analyzing human activities and urban environments.. Many applications categorize such data into groups and compare the characteristics across groups.. The intergroup differences vary with spatio-temporal units, and the essential is to identify the spatiotemporal units with apparently different data characteristics. Article Title: Demand Prediction and Influencing Factors Analysis of Shared Bicycles near Public Transportation Stations based on GCN Article Snippet: Traffic prediction is a pivotal technology in the development of intelligent transportation systems.. Real-time and accurate traffic prediction holds significance in route planning, resource allocation, and improving travel efficiency.. To enhance the convenience of shared bicycle travel near public transportation hubs and optimize shared bicycle deployment strategies, this paper proposes the utilization of a graph convolutional neural network prediction model. Article Title: Constructing a Flood-Adaptive Ecological Security Pattern from the Perspective of Ecological Resilience: A Case Study of the Main Urban Area in Wuhan. Article Snippet: Public Health 2023, 20, 385 4 of 19 from the Wuhan Municipal Water Affairs Authority (http://swj.wuhan.gov.cn/tzdt/jcss/ 202005/t20200511_1309387.html, accessed on 25 December 2021), the net primary productivity (NPP) data of vegetation in the main urban area of Wuhan with 30 M accuracy comes from the Resource and Environmental Science and Data Center of the Chinese Academy of Sciences (https://www.resdc.cn/, accessed on 10 March 2022), the data of points of interest (POI) in the main urban area of |

