Global Tweet Mentions of COVID-19

Chi, Guangqing, Junjun Yin, and Yosef Bodovski. 2020. "Global Tweet Mentions of COVID-19." [webGIS product]. Available at https://webgis.pop.psu.edu/COVID-19. Released on April 6, 2020.

The Impacts of Population and Agglomeration Development on Land Use Intensity: New Evidence behind Urbanization in China

Xu, Feng, Zhanqi Wang, Guangqing Chi, and Zhexi Zhang. 2020. "The Impacts of Population and Agglomeration Development on Land Use Intensity: New Evidence behind Urbanization in China." Land Use Policy 95: 104639.

Does the Mental Health of Migrant Workers Suffer from Long Commute Time? Evidence from China

Xiao, Chenghan, Yang Yang, and Guangqing Chi. 2020. "Does the Mental Health of Migrant Workers Suffer from Long Commute Time? Evidence from China." Journal of Transport & Health 19: 100932.

Energy Choices in Alaska: Mining People's Perception and Attitudes from Geotagged Tweets

Abdar, Moloud, Mohammad Ehsan Basiri, Junjun Yin, Mahmoud Habibnezhad, Guangqing Chi, Shahla Nemati, and Somayeh Asadi. 2020. "Energy Choices in Alaska: Mining People's Perception and Attitudes from Geotagged Tweets." Renewable & Sustainable Energy Reviews 124: 109781.

The Spatial Aspect of Ecosystem Service Balance and Its Determinants

Chen, Wanxu, Guangqing Chi, and Jiangfeng Li. 2020. "The Spatial Aspect of Ecosystem Service Balance and Its Determinants." Land Use Policy 90: 104263. 

strm: Spatio-Temporal Regression Modeling

Kamenetsky, Maria, Guangqing Chi, and Jun Zhu. 2020. "strm: Spatio-Temporal Regression Modeling." [R package].

Ecosystem Services and Their Driving Forces in the Middle Reaches of the Yangtze River Urban Agglomerations, China

Chen, Wanxu, Guangqing Chi, and Jiangfeng Li. 2020. "Ecosystem Services and Their Driving Forces in the Middle Reaches of the Yangtze River Urban Agglomerations, China." International Journal of Environmental Research and Public Health 17(10): 3717. 

Agricultural Productivity at the Oblast Level in Post-Soviet Kyrgyzstan, 1990–2014: Implications of Demographic and Climate Changes

Chi, Guangqing, Jing Gao, Donghui Wang, Annelise D. Hagedorn, Kamilya Kelgenbaeva, M. Luke Smith, and Geoffrey M. Henebry. 2020. "Agricultural Productivity at the Oblast Level in Post-Soviet Kyrgyzstan, 1990–2014: Implications of Demographic and Climate Changes." Research in Globalization 2: 100027. 

Untangle the Complex Stakeholder Relationships in the Consolidation of Rural Settlements in China: A Social Network Approach

Yang, Fan, Guangqing Chi, Ge Wang, Shirui Tang, Yunting Li, and Cong Ju. 2020. "Untangle the Complex Stakeholder Relationships in the Consolidation of Rural Settlements in China: A Social Network Approach." Land 9(7): 210. 

Temporal and Spatial Trends and Determinants of Aggressive Prostate Cancer among Black and White Men with Prostate Cancer

Wang, Ming, Guangqing Chi, Yosef Bodovski, Sheldon L. Holder, Eugene J. Lengerich, Emily Wasserman, and Alicia C. McDonald. 2020. "Temporal and Spatial Trends and Determinants of Aggressive Prostate Cancer among Black and White Men with Prostate Cancer." Cancer Causes and Control 31(1): 63–71.

A General Approach to Detecting Migration Events in Digital Trace Data

Chi, Guanghua, Fengyang Lin, Guangqing Chi, and Joshua Blumenstock. 2020. "A General Approach to Detecting Migration Events in Digital Trace Data." PLoS ONE 15(10): e0239408. 

GPS2space: An Open-source Python Library for Spatial Data Building and Spatial Measure Extraction

Zhou, Shuai, Yanling Li, Guangqing Chi, Sy-Miin Chow, and Yosef Bodovski. 2020. "GPS2space: An Open-source Python Library for Spatial Data Building and Spatial Measure Extraction." [python package]. Available at https://gps2space.readthedocs.io/en/latest. Released on September 23, 2020.

Lost in the Black Belt South: Health Outcomes and Transportation Infrastructure

Chi, Guangqing, Derrick Shapley, Tse-Chuan Yang, and Donghui Wang. 2019. "Lost in the Black Belt South: Health Outcomes and Transportation Infrastructure." Environmental Monitoring and Assessment 191(S2): 297. 

Spatial Regression Analysis of Poverty in R

Kamenetsky, Maria, Guangqing Chi, Donghui Wang, and Jun Zhu. 2019. "Spatial Regression Analysis of Poverty in R." Spatial Demography 7(2): 113–147. 

Future Interstate Highway System Demands: Predictions Based on Population Projections

Chi, Guangqing, Donghui Wang, and Annelise D. Hagedorn. 2019. "Future Interstate Highway System Demands: Predictions Based on Population Projections." Case Studies on Transport Policy 7(2): 384–394. 

A Spatial Dynamic Panel Approach for Modeling the Space-time Dynamics of Interprovincial Migration Flows in China

Pu, Yingxia, Xinyi Zhao, Guangqing Chi, Jin Zhao, and Fanhua Kong. 2019. "A Spatial Dynamic Panel Approach for Modeling the Space-time Dynamics of Interprovincial Migration Flows in China." Demographic Research 41: 913–948.

Spatiotemporal Variations of Land Use Intensity and Its Driving Forces in China, 2000–2010

Xu, Feng and Guangqing Chi. 2019. "Spatiotemporal Variations of Land Use Intensity and Its Driving Forces in China, 2000–2010." Regional Environmental Change 19(8): 2583–2596. 

Error Measures for Trajectories Estimations with Geo-tagged Mobility Sample Data

Parsafard, Mohsen, Guangqing Chi, Xiaobo Qu, Xiaopeng Li, and Haizhong Wang. 2019. "Error Measures for Trajectories Estimations with Geo-tagged Mobility Sample Data." IEEE Transactions on Intelligent Transportation Systems 20(7): 2566–2583. 

Reframing Food Security by and for Native American Communities: A Case Study among Tribes in the Klamath River Basin of Oregon and California

Sowerwine, Jennifer, Megan Mucioki, Daniel Sarna-Wojcicki, and Lisa Hillman. 2019. “Reframing Food Security by and for Native American Communities: A Case Study among Tribes in the Klamath River Basin of Oregon and California.” Food Security 11(3):579–607. 

Spatial Regression Models for the Social Sciences

Chi, Guangqing and Jun Zhu. 2019. Spatial Regression Models for the Social Sciences. Volume 14 of Advanced Quantitative Techniques in the Social Sciences. SAGE Publications: Thousand Oaks, CA. 272 pages. ISBN: 9781544302072; 154430207X.