Guofeng Cao, Ph.D.
Affiliations: | 2011 | Geography | University of California, Santa Barbara, Santa Barbara, CA, United States |
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"Guofeng Cao"Parents
Sign in to add mentorMichael F. Goodchild | grad student | 2011 | UC Santa Barbara | |
(A Geostatistical Framework for Categorical Spatial Data Modeling.) |
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Publications
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Zhao N, Cao G, Zhang W, et al. (2020) Remote sensing and social sensing for socioeconomic systems: A comparison study between nighttime lights and location-based social media at the 500 m spatial resolution International Journal of Applied Earth Observation and Geoinformation. 87: 102058 |
Jamali M, Nejat A, Moradi S, et al. (2020) Social media data and housing recovery following extreme natural hazards International Journal of Disaster Risk Reduction. 51: 101788 |
Zhao N, Liu Y, Hsu F, et al. (2020) Time series analysis of VIIRS-DNB nighttime lights imagery for change detection in urban areas: A case study of devastation in Puerto Rico from hurricanes Irma and Maria Applied Geography. 120: 102222 |
Liu S, Su H, Cao G, et al. (2019) Learning from data: A post classification method for annual land cover analysis in urban areas Isprs Journal of Photogrammetry and Remote Sensing. 154: 202-215 |
Gao Y, Wang S, Padmanabhan A, et al. (2018) Mapping spatiotemporal patterns of events using social media: a case study of influenza trends International Journal of Geographical Information Science. 32: 425-449 |
Zhao N, Cao G, Zhang W, et al. (2018) Tweets or nighttime lights: Comparison for preeminence in estimating socioeconomic factors Isprs Journal of Photogrammetry and Remote Sensing. 146: 1-10 |
Liu Y, Cao G, Zhao N, et al. (2017) Improve ground-level PM2.5 concentration mapping using a random forests-based geostatistical approach. Environmental Pollution (Barking, Essex : 1987). 235: 272-282 |
Liu Y, Delahunty T, Zhao N, et al. (2016) These lit areas are undeveloped: Delimiting China’s urban extents from thresholded nighttime light imagery International Journal of Applied Earth Observation and Geoinformation. 50: 39-50 |
Luo F, Cao G, Mulligan K, et al. (2016) Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago Applied Geography. 70: 11-25 |
Cao G, Wang S, Hwang M, et al. (2015) A scalable framework for spatiotemporal analysis of location-based social media data Computers, Environment and Urban Systems. 51: 70-82 |