| Department of Geographical Sciences

He, J., & Eastman, J. R. (2020). A Sequential Autoencoder for Teleconnection Analysis. Remote Sensing, 12(5), 851. doi:10.3390/rs12050851

Read more about He, J., & Eastman, J. R. (2020). A Sequential Autoencoder for Teleconnection Analysis. Remote Sensing, 12(5), 851. doi:10.3390/rs12050851

Shen, Quan

Quan

Shen

Quan Shen

Carbon, Vegetation Dynamics and Landscape-Scale Processes

Geospatial Information Science and Remote Sensing

Land Cover - Land Use Change

Area of Interest

Carbon Emission

Land Cover/Land Use Change

Position Title

Doctoral Student

Email

qshen@umd.edu

Phone

3015186736

Room and Building

4600 River Road, Suite 347G1 (send mail to 2181 LeFrak)

Personal Website

Google Scholar Profile

Degrees Held

Geographic Information Science, University of Maryland - BS

Geographical Sciences, University of Maryland - MS

Read more about Shen, Quan

Student Status

PhD Advanced to Candidacy

Faculty Advisors

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”,

Read more about 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”,

Yu, Hanchen, A. Stewart Fotheringham, Ziqi Li, Taylor Oshan, Wei Kang, and Levi Wolf. (2019). “Inference in Multi-scale Geographically Weighted Regression.” Geographical Analysis.

Read more about Yu, Hanchen, A. Stewart Fotheringham, Ziqi Li, Taylor Oshan, Wei Kang, and Levi Wolf. (2019). “Inference in Multi-scale Geographically Weighted Regression.” Geographical Analysis.

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 33:7,1289-1299

Read more about 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 33:7,1289-1299

Oshan, T., Z. Li, W. Kang, L. Wolf, and S. Fotheringham. (2019). “mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale.”

Read more about Oshan, T., Z. Li, W. Kang, L. Wolf, and S. Fotheringham. (2019). “mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale.”

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

Read more about 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

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.

Read more about 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.

Oshan, T.M., Smith, J.P. & Fotheringham, A.S. Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. Int J Health Geogr 19, 11 (2020). https://doi.org/10.1186/s12942-020-00204-6

Read more about Oshan, T.M., Smith, J.P. & Fotheringham, A.S. Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. Int J Health Geogr 19, 11 (2020). https://doi.org/10.1186/s12942-020-00204-6

Buckley, E. M., Farrell, S. L., Duncan, K., Connor, L. N., Kuhn, J. M., & Dominguez, R. T. ( 2020). Classification of Sea Ice Summer Melt Features in High‐resolution IceBridge Imagery. JGR, 125, e2019JC015738. https://doi.org/10.1029/2019JC015738

Read more about Buckley, E. M., Farrell, S. L., Duncan, K., Connor, L. N., Kuhn, J. M., & Dominguez, R. T. ( 2020). Classification of Sea Ice Summer Melt Features in High‐resolution IceBridge Imagery. JGR, 125, e2019JC015738. https://doi.org/10.1029/2019JC015738