POI Pulse
A Multi-granular, Semantic Signature–Based Information Observatory for the Interactive Visualization of Big Geosocial Data
Dados Bibliográficos
The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, and thematic granularity that was not achievable until now. Such data-driven approaches open up additional, complementary perspectives on how urban systems function, especially if they are based on user-generated content (UGC). While the data sources, such as social media, introduce specific biases, they also open up new possibilities for scientists and the broader public. For instance, they provide answers to questions that previously could only be addressed by complex simulations or extensive human-participant surveys. Unfortunately, many of the required data sets are locked in data silos that are accessible only via restricted APIs. Even if these data could be fully accessed, their naïve processing and visualization would surpass the abilities of modern computer architectures. Finally, the established place schemata used to study urban spaces differ substantially from UGC-based point-of-interest (POI) schemata. In this work, we present a multi-granular, data-driven, and theory-informed approach that addresses the key issues outlined above by introducing a theoretical and technical framework to interactively explore the pulse of a city based on social media
Big data · Computer security · Data mining · Data science · Data visualization · Function (biology · Geography · Granularity · Information retrieval · Key (lock · Social media · Thematic map · Variety (cybernetics · Visualization · World Wide Web · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Artificial Intelligence
Extracting urban functional regions from points of interest and human activities on location‐based social networks
GeoAI
Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data
Extracting and understanding urban areas of interest using geotagged photos
Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model
A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing
Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning
Deep learning method for Chinese multisource point of interest matching
Uncovering inconspicuous places using social media check-ins and street view images
Conflating point of interest (POI) data
Identification of spatial and functional interactions in Beijing based on trajectory data
The rebirth of urban subcenters
Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest
How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city
Mapping fine-scale anthropogenic heat flux in Shanghai by integrating multi-source geospatial big data using Cubist
A Semantic and Sentiment Analysis on Online Neighborhood Reviews for Understanding the Perceptions of People toward Their Living Environments
Length of Stay and Destination Image
Improved Estimates of Population Exposure in Low-Elevation Coastal Zones of China
MixMap
Placial analysis of events
Geographic information science I
Spatial association patterns of restaurant locations in Chinese and American megacities
Exploring city dynamics through tweets
The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level
Sensing multiple semantics of urban space from crowdsourcing positioning data
The geography of human activity and land use
A data-driven perspective for sensing urban functional images
Fine-grained extraction of geospatial and temporal information from Chinese historical newspapers
Social media analytics and research testbed (SMART)
| Obras citantes distintas | 29 |
|---|---|
| Citações por ano | 2,64 |
| Intervalo de citações | 2015 - 2025 (11) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 29 |