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Junchuan Fan
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Partnering with a global platform to inform research and public policy making: What needs to be in place to make a global COVID-19 survey work?
F Kreuter, N Barkay, A Bilinski, A Bradford, S Chiu, R Eliat, J Fan, T Galili, ...
Survey Research Methods 14 (2), 159-163, 2020
462020
Using big GPS trajectory data analytics for vehicle miles traveled estimation
J Fan, C Fu, K Stewart, L Zhang
Transportation research part C: emerging technologies 103, 298-307, 2019
402019
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major us metropolitan area
Z Xia, K Stewart, J Fan
Computers, environment and urban systems 87, 101599, 2021
292021
Partnering with Facebook on a university-based rapid turn-around global survey
F Kreuter, N Barkay, A Bilinski, A Bradford, S Chiu, R Eliat, J Fan, T Galili, ...
Survey Research Methods: SRM 14 (2), 159-163, 2020
252020
Modeling spatiotemporal patterns of building vulnerability and content evacuations before a riverine flood disaster
S Hubbard, K Stewart, J Fan
Applied Geography 52, 172-181, 2014
242014
COVID-19 joint pandemic modeling and analysis platform
G Thakur, K Sparks, A Berres, V Tansakul, S Chinthavali, M Whitehead, ...
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and …, 2020
222020
Thinking about Space‐Time Connections: Spatiotemporal Scheduling of Individual Activities
K Stewart, J Fan, E White
Transactions in GIS 17 (6), 791-807, 2013
192013
Covid-19 world symptom survey data api
J Fan, Y Li, K Stewart, AR Kommareddy, A Bradford, S Chiu, F Kreuter, ...
Technical report, 2020
162020
An ontology-based framework for modeling movement on a smart campus
J Fan, K Stewart
Analysis of movement data, GIScience workshop, Vienna, Austria, 2014
152014
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics
J Fan, K Stewart
Computers, Environment and Urban Systems 87, 101605, 2021
122021
The University of Maryland social data science center global COVID-19 trends and impact survey, in partnership with Facebook
J Fan, Y Li, K Stewart, AR Kommareddy, A Garcia, J O’Brien, A Bradford, ...
The Global COVID-19 Trends and Impact Survey Open Data API. https://covidmap …, 2020
112020
The University of Maryland Social Data Science Center Global COVID-19 Trends and Impact Survey
J Fan, Y Li, K Stewart, AR Kommareddy, A Garcia, J O’Brien, A Bradford, ...
Partnership with Facebook, 2020
82020
Understanding the drivers of mobility during the COVID-19 pandemic in Florida, USA using a machine learning approach
G Zhu, K Stewart, D Niemeier, J Fan
ISPRS international journal of geo-information 10 (7), 440, 2021
72021
Advanced vehicle miles traveled estimation methods for non-federal aid system roadways using GPS vehicle trajectory data and statistical power analysis
A Nasri, L Zhang, J Fan, K Stewart, H Younes, C Fu, S Jessberger
Transportation research record 2673 (11), 296-308, 2019
72019
Detecting spatial patterns of natural hazards from the wikipedia knowledge base
J Fan, K Stewart
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015
72015
Modeling space-time activities and places for a smart space—a semantic approach
J Fan
The University of Iowa, 2017
32017
Variation of albedo with the increased impervious surface in Beijing-Tianjin area of China
X Zhou, B Zhang, L Lei, L Liu, Z Chen, J Fan, H Liu
2009 IEEE International Geoscience and Remote Sensing Symposium 4, IV-326-IV-329, 2009
32009
Towards POI-based large-scale land use modeling: spatial scale, semantic granularity, and geographic context
J Fan, G Thakur
International Journal of Digital Earth 16 (1), 430-445, 2023
22023
Conflation of geospatial POI data and ground-level imagery via link prediction on joint semantic graph
R Gurav, D De, G Thakur, J Fan
Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for …, 2021
22021
MapSpace: POI-based multi-scale global land use modeling
G Thakur, J Fan
22021
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Articles 1–20