An integrated cyberGIS and machine learning framework for fine-scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data
Due to climate change and rapid urbanization, Urban Heat Island (UHI), featuring
significantly higher temperature in metropolitan areas than surrounding areas, has caused …
significantly higher temperature in metropolitan areas than surrounding areas, has caused …
Social sensing of urban land use based on analysis of Twitter users' mobility patterns
A number of recent studies showed that digital footprints around built environments, such as
geo-located tweets, are promising data sources for characterizing urban land use. However …
geo-located tweets, are promising data sources for characterizing urban land use. However …
A scalable architecture for real-time stream processing of spatiotemporal IoT stream data—Performance analysis on the example of map matching
Scalable real-time processing of large amounts of data has become a research topic of
particular importance due to the continuously rising amount of data that is generated by …
particular importance due to the continuously rising amount of data that is generated by …
UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics
Ensuring the social equity of planning measures in social systems requires an
understanding of human dynamics, particularly how individual relationships, activities, and …
understanding of human dynamics, particularly how individual relationships, activities, and …
Towards POI-based large-scale land use modeling: spatial scale, semantic granularity, and geographic context
The combination of spatial distribution, semantic characteristics, and sometimes temporal
dynamics of POIs inside a geographic region can capture its unique land use characteristics …
dynamics of POIs inside a geographic region can capture its unique land use characteristics …
Humonet: A framework for realistic modeling and simulation of human mobility network
Understanding, analyzing, and predicting human mobility and dynamics are valuable to
solving pressing problems, developing effective plans, and prescribing timely remedies. As …
solving pressing problems, developing effective plans, and prescribing timely remedies. As …
A Bayesian machine learning model for estimating building occupancy from open source data
Understanding building occupancy is critical to a wide array of applications including natural
hazards loss analysis, green building technologies, and population distribution modeling …
hazards loss analysis, green building technologies, and population distribution modeling …
Improving land use inference by factorizing mobile phone call activity matrix
Land use is shaped by human activities. Traditional methods of measuring land uses (eg
surveys and remote sensing techniques) often have difficulties in capturing human activities …
surveys and remote sensing techniques) often have difficulties in capturing human activities …
SONET: a semantic ontological network graph for managing points of interest data heterogeneity
R Palumbo, L Thompson, G Thakur - Proceedings of the 3rd ACM …, 2019 - dl.acm.org
Scalability, standardization, and management are important issues when working with very
large Volunteered Geographic Information (VGI). VGI is a rich and valuable source of Points …
large Volunteered Geographic Information (VGI). VGI is a rich and valuable source of Points …
Likeness: a toolkit for connecting the social fabric of place to human dynamics
J Tuccillo, J Gaboardi - 2022 - osti.gov
The ability to produce richly-attributed synthetic populations is key for understanding human
dynamics, responding to emergencies, and preparing for future events, all while protecting …
dynamics, responding to emergencies, and preparing for future events, all while protecting …