Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA
Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing
the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and …
the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and …
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 …
Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming …
Cyberinfrastructure needs to be advanced to enable open and reproducible environmental
modeling research. Recent efforts toward this goal have focused on advancing online …
modeling research. Recent efforts toward this goal have focused on advancing online …
Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies
Building cyberinfrastructure for the reuse and reproducibility of large-scale hydrologic
modeling studies requires overcoming a number of data management and software …
modeling studies requires overcoming a number of data management and software …
A vector-based method for drainage network analysis based on LiDAR data
Drainage network analysis is fundamental to understanding the characteristics of surface
hydrology. Based on elevation data, drainage network analysis is often used to extract key …
hydrology. Based on elevation data, drainage network analysis is often used to extract key …
Mapping dynamic human sentiments of heat exposure with location-based social media data
Understanding urban heat exposure dynamics is critical for public health, urban
management, and climate change resilience. Near real-time analysis of urban heat enables …
management, and climate change resilience. Near real-time analysis of urban heat enables …
Cyber-enabled autocalibration of hydrologic models to support Open Science
Automatic calibration (autocalibration) of models is a standard practice in hydrologic
sciences. However, hydrologic modelers, while performing autocalibrations, spend …
sciences. However, hydrologic modelers, while performing autocalibrations, spend …
CyberGIS-Jupyter for spatially explicit agent-based modeling: a case study on influenza transmission
Despite extensive efforts on achieving reproducible agent-based models (ABMs) to improve
the capability of this widely adopted methodology, it remains challenging to reproduce and …
the capability of this widely adopted methodology, it remains challenging to reproduce and …
Integrating CyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time
As large-scale disasters are increasing in severity and frequency, agent-based modeling
enables the simulation of disaster and evacuation processes, while exploring the complex …
enables the simulation of disaster and evacuation processes, while exploring the complex …
Multi-scale CyberGIS analytics for detecting spatiotemporal patterns of COVID-19
The ongoing COVID-19 pandemic has put the world into an unprecedented situation
causing massive impacts on people's daily life and businesses. While there exist numerous …
causing massive impacts on people's daily life and businesses. While there exist numerous …