A Data-Driven Approach to Place-Based GIS
A place is characterized by its semantics and human conceptualizations instead of just an abstract geometry in space. The emergence of big data brings new opportunities for us to understand the semantics of places and associated human experiences, emotions, movements, and activities.
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Social Sensing
The emergence of big data brings new opportunities for us to understand our socioeconomic environments. We use the term social sensing for such individual-level big geospatial data and the associated analysis methods.
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Spatiotemporal Data Analytics
Spatiotemporal analytics, computation, mining, and integration with visual representation help understand complex phenomena and reveal hidden patterns.
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GeoComputation and Big Data
Geospatial Big Data describes the phenomenon that large volumes of georeferenced data captured by millions of environmental and human sensors in a variety of formats such as remote sensing images, crowdsourced maps, geotagged videos and photos, transportation smart card transactions, mobile phone data, location-based social media content, and GPS trajectories.
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Human Mobility and Urban Computing
The widespread use of location‐awareness technologies and smart phones has made it possible to collect large scale spatiotemporal data for analyzing human mobility patterns and complex urban dynamics.
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Spatial Networks and Transportation
A spatial network is a graph in which the vertices or edges are spatial elements associated with geometric objects. It plays a very important role in transportation operation and management and many other fields.
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GeoAI
GeoAI is bringing together geoscientists, computer scientists, engineers, entrepreneurs, and decision makers from academia, industry, and government to discuss the latest trends, successes, challenges, and opportunities in the field of artificial intelligence for transforming cartography and geographic information science.
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Image-based Geo-Localization
When users browse beautiful scenery photos uploaded on a social media website, they may have a passion to know about where those photos are taken so that they could view the similar sceneries when they go to the same spot.
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Place Emotion
State-of-the-art computer vision technologies are utilized to collect, store, handle, manipulate and analyze the human emotion at different places. The research explored what and how people express their emotions at different scales and places, and why and how their emotions would be influenced by environmental factors.
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Location Privacy
Large-scale individual-level location data has been widely collected through location-awareness devices. Geoprivacy concerns arise on the issues of user identity de-anonymization and sensitive location exposure. Advanced methods and techniques for protecting the geoprivacy are required.
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Public Health
Using GIS tools, spatial statistics, and interactive mapping to better understand the spatiotemporal distributions of air pollution, diseases and interactions with environmental factors that may influence human health issues.
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Map Style Transfer
The advancement of AI technologies makes it possible to learn stylistic design criteria from existing maps or other visual arts and transfer these styles to make new multiscale digital maps without CartoCSS or Mapbox GL style specification sheets.
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