Publications | CGIS l Center for Geospatial Information Science l University of Maryland

Stewart, K., M. Li, Z. Xia, S. Ayodele Adewole, O. Adeyemo, C. Adebamowo (2020) Modeling spatial access to cervical cancer screening services in Ondo State, Nigeria, International Journal of Health Geographics, 19 (28)https://doi.org/10.1186/s12942-020-00222-4
Kreuter, F., N. Barkay, A.Bilinski, A. Bradford, S. Chiu, R. Eliat, J. Fan, T. Galili, D. Haimovich, B. Kim, S. LaRocca, Y. Li, K. Morris, S. Presser, T. Sarig, J. A. Salomon, K. Stewart, E. A. Stuart, R. Tibshirani (2020) 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? Survey Research Methods, 14(2): 159-163
Sha, D., X. Miao, H. Lan, K. Stewart, S. Ruan, Y. Tian, Y Tian, C. Yang (2020) Spatiotemporal Analysis of Medical Resource Deficiencies in the U.S. under COVID-19 Pandemic, Plos Onehttps://doi.org/10.1101/2020.05.24.20112136
Li, Z., Fotheringham, A. S., Oshan, T. M., & Wolf, L. J. (2020). Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights. The Annals of the American Association of Geographers.https://doi.org/10.1080/24694452.2019.1704680
Fu, C., X.-P. Song, and K. Stewart (2019) Integrating activity-based geographic information and long-term remote sensing to characterize urban land use change, Special issue on Integrating Remote Sensing and Social Sensing, Remote Sensing, 11(24): 2965. https://doi.org/10.3390/rs11242965
Knott, C., D. Ghosh, B. Williams, C. Park, E. Shulz, R. Williams, X. He, K. Stewart, C. Bell, E. Clark (2020). Do neighborhood characteristics contribute beyond individual demographics to cancer control behaviors among African American adults?,Cancer Epidemiology, February 2020, 64: 101666, https://doi.org/10.1016/j.canep.2019.101666
Knott, C., D. Ghosh, B. Williams, C. Park, E. Shulz, R. Williams, X. He, K. Stewart, C. Bell, E. Clark (2020). Do neighborhood characteristics contribute beyond individual demographics to cancer control behaviors among African American adults?,Cancer Epidemiology, 64: 101666, https://doi.org/10.1016/j.canep.2019.101666
Kang, W., T. Oshan, L. J. Wolf, G. Boeing, A. Poorthuis, S. Gao, W. Xu, V. Frias-Martinez (2019). “A Roundtable Discussion: Defining Urban Data Science”, Environment and Planning, B: Urban Analytics and City Science 6(9): 1756–1768
Cao, Y., Stewart, K., Wish, E., Artigiani, E., & Sorg, M. H. (2019). Determining spatial access to opioid use disorder treatment and emergency medical services in New Hampshire. Journal of Substance Abuse Treatment, 101, 55-66. doi:10.1016/j.jsat.2019.03.
Oshan, Taylor, Ziqi Li, Wei Kang, Levi Wolf, and Stewart Fotheringham. (2019). “mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale.” International Journal Geo-Information 8(6), 269. https://doi.org/10.3390/ijgi8060269
Shetty, A.C., Jacob, C.G., Huang, F. et al. Genomic structure and diversity of Plasmodium falciparum in Southeast Asia reveal recent parasite migration patterns. Nat Commun 10, 2665 (2019). https://doi.org/10.1038/s41467-019-10121-3
Oshan, Taylor, Levi Wolf, Stewart Fotheringham, Wei Kang, Ziqi Li, and Hanchen Yu. (2019). “A comment on geographically weighted regression with parameter-specific distance metrics”. International Journal of Geographical Information Science 33:7,1289-1299https://doi.org/10.1080/13658816.2019.1572895
Yu, Hanchen, A. Stewart Fotheringham, Ziqi Li, Taylor Oshan, Wei Kang, and Levi Wolf. (2019). “Inference in Multi-scale Geographically Weighted Regression.” Geographical Analysis.https://doi.org/10.1111/gean.12189
Ziqi Li, A. Stewart Fotheringham, Wenwen Li & Taylor Oshan (2019) “Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations”,International Journal of Geographical Information Science 33:1, 155-175.