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08/15/2023
The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics
While cities around the world are looking for smart ways to use new adva...
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08/09/2023
ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime
Weather forecasting is essential for decision-making and is usually perf...
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10/05/2022
Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US
Sidewalks play a pivotal role in urban mobility of everyday life. Ideall...
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08/10/2022
A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics
Recent technological innovations have led to an increase in the availabi...
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06/28/2022
Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities
There is a lack of data on the location, condition, and accessibility of...
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05/25/2022
Urban Rhapsody: Large-scale exploration of urban soundscapes
Noise is one of the primary quality-of-life issues in urban environments...
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01/06/2022
CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials
While designing sustainable and resilient urban built environment is inc...
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12/12/2021
A Visual Analytics System for Profiling Urban Land Use Evolution
The growth of cities calls for regulations on how urban space is used an...
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12/12/2021
Sidewalk Measurements from Satellite Images: Preliminary Findings
Large-scale analysis of pedestrian infrastructures, particularly sidewal...
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12/12/2021
Visualizing Environmental Justice Issues in Urban Areas with a Community-based Approach
According to environmental justice, environmental degradation and benefi...
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12/11/2021
UrbanRama: Navigating Cities in Virtual Reality
Exploring large virtual environments, such as cities, is a central task ...
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10/25/2021
Transportation Scenario Planning with Graph Neural Networks
Providing efficient human mobility services and infrastructure is one of...
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08/31/2020
Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data
Urban planning is increasingly data driven, yet the challenge of designi...
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05/04/2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Predicting commuting flows based on infrastructure and land-use informat...
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07/09/2019
Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time
Large scale shadows from buildings in a city play an important role in d...
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08/24/2016
