Data Gap Filling Using Cloud-Based Distributed Markov Chain Cellular Automata Framework for Land Use and Land Cover Change Analysis: Inner Mongolia as a Case Study.
Remote. Sens., 2022
An Open-Source Workflow for Spatiotemporal Studies with COVID-19 as an Example.
ISPRS Int. J. Geo Inf., 2022
Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19.
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Ann. GIS, 2022
Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012-2018.
Remote. Sens., 2021
COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records.
IEEE Access, 2021
Addressing Geographical Challenges in the Big Data Era utilizing Cloud Computing.
PhD thesis, 2020
Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression.
Comput. Environ. Urban Syst., 2020
Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data.
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Remote. Sens., 2020
Taking the pulse of COVID-19: a spatiotemporal perspective.
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Int. J. Digit. Earth, 2020
A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research.
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Data, 2020
An Environmental Data Collection for COVID-19 Pandemic Research.
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Data, 2020
Spark Sensing: A Cloud Computing Framework to Unfold Processing Efficiencies for Large and Multiscale Remotely Sensed Data, with Examples on Landsat 8 and MODIS Data.
J. Sensors, 2018