Taylor M. Oshan - Concepedia

Author

Taylor M. Oshan

Arizona State University ORCID

Also Known As

Oshan, Taylor, Taylor M Oshan, Taylor M. Oshan, Taylor OSHAN, Taylor Oshan, Wei Kang

Publications

2.6K

Citations

H-Index

Concepts

All Affiliations

Arizona State University University of Maryland, College Park University of Bristol University of California, Riverside Geospatial Research (United Kingdom)

About

Taylor M. Oshan is an author at Arizona State University specializing in statistics, engineering, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	1.5K
2	Public Health	9	9	1.1K
3	Social Sciences	4	4	84
4	Business	3	3	350
5	Management	1	1	37

Taylor M. Oshan

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale Taylor M. Oshan, Ziqi Li, Wei Kang, ISPRS International Journal of Geo-Information EngineeringSpatial ModelingEstimation RoutinesData ScienceMultiscale Analysis	2019	717
Inference in Multiscale Geographically Weighted Regression Hanchen Yu, A. Stewart Fotheringham, Ziqi Li, Geographical Analysis Mgwr FrameworkQuantitative Spatial ModelParameter EstimationWeighted RegressionEngineering	2019	375
Geographically weighted regression and multicollinearity: dispelling the myth A. Stewart Fotheringham, Taylor M. Oshan Journal of Geographical Systems EconomicsBusinessRegional ScienceEconometricsStatistics	2016	283
Analysis of human mobility patterns from GPS trajectories and contextual information Katarzyna Siła-Nowicka, Jan Vandrol, Taylor M. Oshan, International Journal of Geographical Information Systems	2015	261
Targeting the spatial context of obesity determinants via multiscale geographically weighted regression Taylor M. Oshan, Jordan P. Smith, A. Stewart Fotheringham International Journal of Health Geographics	2020	191
Single and Multiscale Models of Process Spatial Heterogeneity Levi John Wolf, Taylor M. Oshan, A. Stewart Fotheringham Geographical Analysis EngineeringSpatial ModelingLocalizationMultiscale AnalysisStochastic Processes	2017	101
A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques Taylor M. Oshan, A. Stewart Fotheringham Geographical Analysis Spatial ScienceQuantitative Spatial ModelEngineeringSpatial Statistical AnalysisRobust Modeling	2017	68
Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights Ziqi Li, A. Stewart Fotheringham, Taylor M. Oshan, Annals of the American Association of Geographers Weighted RegressionEngineeringBandwidth UncertaintySpatial UncertaintyRegression Analysis	2020	65
On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes A. Stewart Fotheringham, Hanchen Yu, Levi John Wolf, International Journal of Geographical Information Systems	2022	62
On the measurement of bias in geographically weighted regression models Hanchen Yu, A. Stewart Fotheringham, Ziqi Li, Spatial Statistics Econometric ModelEconomicsSelection BiasBiasGeography	2020	57

Page 1