Selected Publications

  • Dr. Taylor M. Oshan

    Oshan, T.M. (2022), Navigating the Methodological Landscape in Spatial Analysis: A Comment on “A Route Map for Successful Applications of Geographically-Weighted Regression”. Geographical Analysis.

  • Dr. Taylor Oshan

    Oshan, T.M., Wolf, L.J., Sachdeva, M. et al. A scoping review on the multiplicity of scale in spatial analysis. J Geogr Syst (2022).

  • Zheng Liu Dr. Taylor Oshan

    Liu, Z., & Oshan, T. (2022). Comparing spatial interaction models and flow interpolation techniques for predicting “cold start” bike-share trip demand. Transactions in GIS, 00, 1– 18.

  • Dr. Taylor Oshan

    A. Stewart Fotheringham, Hanchen Yu, Levi John Wolf, Taylor M. Oshan & Ziqi Li (2022) On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes, International Journal of Geographical Information Science

  • Dr. Taylor Oshan

    Sauer, J., Oshan, T., Rey, S., & Wolf, L. J. (2021). The Importance of Null Hypotheses: Understanding Differences in Local Moran’s under Heteroskedasticity. Geographical Analysis.

  • Dr. Taylor Oshan

    Rey, S. J., Anselin, L., Amaral, P., Arribas-Bel, D., Cortes, R. X., Gaboardi, J. D., Kang, W., Knaap, E., Li, Z., Lumnitz, S., Oshan, T. M., Shao, H., & Wolf, L. J. (2021). The PySAL Ecosystem: Philosophy and Implementation. Geographical Analysis.

  • Dr. Taylor Oshan

    Park, S., Oshan, T. M., El Ali, A., & Finamore, A. (2021). Are we breaking bubbles as we move? Using a large sample to explore the relationship between urban mobility and segregation. Computers, Environment and Urban Systems, 86, 101585.

  • Dr. Taylor Oshan

    Oshan, T. M. (2020). The spatial structure debate in spatial interaction modeling: 50 years on. Progress in Human Geography, 0309132520968134.

  • Dr. Taylor Oshan

    Oshan, T. M. (2020). Potential and Pitfalls of Big Transport Data for Spatial Interaction Models of Urban Mobility. The Professional Geographer, 72(4), 468–480.

  • Dr. Taylor Oshan

    Yu, H., Fotheringham, A. S., Li, Z., Oshan, T., & Wolf, L. J. (2020). On the measurement of bias in geographically weighted regression models. Spatial Statistics, 38, 100453.

  • Dr. Taylor Oshan

    Oshan, T. M., Smith, J. P., & Fotheringham, A. S. (2020). Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. International Journal of Health Geographics, 19(1), 11.

  • Dr. Taylor Oshan

    Li, Z., Fotheringham, A. S., Oshan, T. M., & Wolf, L. J. (2020). Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights. Annals of the American Association of Geographers, 110(5), 1500–1520.

  • Dr. Taylor Oshan

    Yu, H., Fotheringham, A. S., Li, Z., Oshan, T., Kang, W., & Wolf, L. J. (2020). Inference in Multiscale Geographically Weighted Regression. Geographical Analysis, 52(1), 87–106.

  • Dr. Taylor Oshan

    Kang, W., Oshan, T., Wolf, L. J., Boeing, G., Frias-Martinez, V., Gao, S., Poorthuis, A., & Xu, W. (2019). A roundtable discussion: Defining urban data science. Environment and Planning B: Urban Analytics and City Science, 46(9), 1756–1768.

  • Dr. Taylor Oshan

    Oshan, T., Li, Z., Kang, W., Wolf, L., & Fotheringham, A. (2019). mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale. ISPRS International Journal of Geo-Information, 8(6), 269.

  • Dr. Taylor Oshan

    Oshan, T., Wolf, L. J., Fotheringham, A. S., Kang, W., Li, Z., & Yu, H. (2019). A comment on geographically weighted regression with parameter-specific distance metrics. International Journal of Geographical Information Science, 33(7), 1289–1299.

  • Dr. Taylor Oshan

    Li, Z., Fotheringham, A. S., Li, W., & Oshan, T. (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.

  • Dr. Taylor Oshan

    Oshan, T. M., & Fotheringham, A. S. (2018). A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial-Filter-Based Techniques. Geographical Analysis, 50(1), 53–75.

  • Dr. Taylor Oshan

    Wolf, L. J., Oshan, T. M., & Fotheringham, A. S. (2018). Single and Multiscale Models of Process Spatial Heterogeneity. Geographical Analysis, 50(3), 223–246.

  • Dr. Taylor Oshan

    Farmer, C. and Oshan, T. (2017). Spatial interaction. The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2017 Edition), John P. Wilson (ed.).

  • Dr. Taylor Oshan

    Oshan, T. M. (2016). A primer for working with the Spatial Interaction modeling (SpInt) module in the python spatial analysis library (PySAL). REGION, 3(2), 11.

  • Dr. Taylor Oshan

    Fotheringham, A. S., & Oshan, T. M. (2016). Geographically weighted regression and multicollinearity: Dispelling the myth. Journal of Geographical Systems, 18(4), 303–329.

  • Dr. Taylor Oshan

    Siła-Nowicka, K., Vandrol, J., Oshan, T., Long, J. A., Demšar, U., & Fotheringham, A. S. (2016). Analysis of human mobility patterns from GPS trajectories and contextual information. International Journal of Geographical Information Science, 30(5), 881–906.