Taylor M. Oshan

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Potential and Pitfalls of Big Transport Data for Spatial Interaction Models of Urban Mobility

Taylor M. Oshan, 2020 .

arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014

Steven Rich, Aaron Williams, Taylor M. Oshan, 2020, J. Open Source Softw..

The spatial structure debate in spatial interaction modeling: 50 years on:

Taylor M. Oshan, 2020 .

mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale

A. Stewart Fotheringham, Wei Kang, Ziqi Li, 2018, ISPRS Int. J. Geo Inf..

Targeting the spatial context of obesity determinants via multiscale geographically weighted regression

Jordan P. Smith, Taylor M. Oshan, A. Stewart Fotheringham, 2020, International Journal of Health Geographics.

Are we breaking bubbles as we move? Using a large sample to explore the relationship between urban mobility and segregation

Abdallah El Ali, Alessandro Finamore, Souneil Park, 2021, Comput. Environ. Urban Syst..

arcos (R) and arcospy (Python): twin software packages to access the DEA ARCOS database from 2006 to 2014

Taylor M. Oshan, Steven Rich, Andrew Ba Tran, 2021, CrimRxiv.

A roundtable discussion: Defining urban data science

Taylor M. Oshan, V. Frías-Martínez, Song Gao, 2019, Environment and Planning B: Urban Analytics and City Science.

On the measurement of bias in geographically weighted regression models

Taylor M. Oshan, A. Fotheringham, L. Wolf, 2020 .

Inference in Multiscale Geographically Weighted Regression

A. Stewart Fotheringham, Ziqi Li, Levi Wolf, 2019, Geographical Analysis.

A scoping review on the multiplicity of scale in spatial analysis

Taylor M. Oshan, A. Fotheringham, L. Wolf, 2022, Journal of Geographical Systems.

The spatial structure debate in spatial interaction modeling: 50 years on

Taylor M. Oshan, 2020, Progress in Human Geography.

Targeting the spatial context of obesity determinants via multiscale geographically weighted regression

Jordan P. Smith, Taylor M. Oshan, A. Fotheringham, 2020, International Journal of Health Geographics.

Comparing spatial interaction models and flow interpolation techniques for predicting “cold start” bike‐share trip demand

Taylor M. Oshan, Zhenguo Liu, 2022, Trans. GIS.

A scoping review on the multiplicity of scale in spatial analysis

Taylor M. Oshan, A. Fotheringham, A. Fotheringham, 2022, Journal of Geographical Systems.

Potential and Pitfalls of Big Transport Data for Spatial Interaction Models of Urban Mobility

Taylor M. Oshan, 2020, The Professional Geographer.

Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights

Taylor M. Oshan, A. Fotheringham, L. Wolf, 2019, Annals of the American Association of Geographers.

Geographically weighted regression and multicollinearity: dispelling the myth

Taylor M. Oshan, A. Fotheringham, 2016, Journal of Geographical Systems.

A primer for working with the Spatial Interaction modeling (SpInt) module in the python spatial analysis library (PySAL)

Taylor Oshan, Taylor M. Oshan, 2016 .

Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations

A. Stewart Fotheringham, Ziqi Li, Wenwen Li, 2019, Int. J. Geogr. Inf. Sci..

On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes

Taylor M. Oshan, A. Fotheringham, L. Wolf, 2022, Int. J. Geogr. Inf. Sci..

The PySAL Ecosystem: Philosophy and Implementation

Sergio J. Rey, James D. Gaboardi, Taylor M. Oshan, 2021 .

Geographically weighted regression and multicollinearity: dispelling the myth

A. Stewart Fotheringham, Taylor Oshan, Taylor M. Oshan, 2016, J. Geogr. Syst..

Analysis of human mobility patterns from GPS trajectories and contextual information

A. Stewart Fotheringham, Katarzyna Sila-Nowicka, Jed A. Long, 2016, Int. J. Geogr. Inf. Sci..

Splot - Visual Analytics for Spatial Statistics

Sergio J. Rey, Levi Wolf, Daniel Arribas-Bel, 2020, J. Open Source Softw..

A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques

A. Stewart Fotheringham, Taylor Oshan, Taylor M. Oshan, 2018 .

On the measurement of bias in geographically weighted regression models

Taylor M. Oshan, A. Fotheringham, L. Wolf, 2019, Spatial Statistics.

A Closer Examination of Spatial-Filter-Based Local Models

Taylor M. Oshan, A. Fotheringham, 2016 .

The Importance of Null Hypotheses: Understanding Differences in Local Moran’s under Heteroskedasticity

Sergio J. Rey, Taylor M. Oshan, L. Wolf, 2021, Geographical Analysis.

Single and Multiscale Models of Process Spatial Heterogeneity

A. Stewart Fotheringham, Levi Wolf, Taylor Oshan, 2018 .

A multiscale spatial analysis of obesity determinants in Phoenix, Arizona

Taylor M. Oshan, A. Fotheringham, Jordan B. Smith, 2019 .

A comment on geographically weighted regression with parameter-specific distance metrics

A. Stewart Fotheringham, Wei Kang, Ziqi Li, 2019, Int. J. Geogr. Inf. Sci..

Multiscale Geographically Weighted Regression

Taylor M. Oshan, A. Fotheringham, Ziqi Li, 2023 .