| mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale TM Oshan, Z Li, W Kang, LJ Wolf, AS Fotheringham ISPRS International Journal of Geo-Information 8 (6), 269, 2019 | 495 | 2019 |
| Inference in multiscale geographically weighted regression H Yu, AS Fotheringham, Z Li, T Oshan, W Kang, LJ Wolf Geographical Analysis 52 (1), 87-106, 2019 | 255 | 2019 |
| Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost Z Li Computers, Environment and Urban Systems 96, 101845, 2022 | 128 | 2022 |
| Examining the influences of air quality in China's cities using multi‐scale geographically weighted regression AS Fotheringham, H Yue, Z Li Transactions in GIS 23 (6), 1444-1464, 2019 | 95 | 2019 |
| Computational improvements to multi-scale geographically weighted regression Z Li, AS Fotheringham International Journal of Geographical Information Science 34 (7), 1378-1397, 2020 | 92 | 2020 |
| Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations Z Li, AS Fotheringham, W Li, T Oshan International Journal of Geographical Information Science 33 (1), 155-175, 2019 | 87 | 2019 |
| Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights Z Li, AS Fotheringham, TM Oshan, LJ Wolf Annals of the American Association of Geographers 110 (5), 1500-1520, 2020 | 50 | 2020 |
| Estimating geographical PV potential using LiDAR data for buildings in downtown San Francisco Z Li, Z Zhang, K Davey Transactions in GIS 19 (6), 930-963, 2015 | 49 | 2015 |
| The spatial association of social vulnerability with COVID-19 prevalence in the contiguous United States C Wang, Z Li, M Clay Mathews, S Praharaj, B Karna, P Solís International Journal of Environmental Health Research 32 (5), 1147-1154, 2022 | 42 | 2022 |
| Scale, Context, and Heterogeneity: A Spatial Analytical Perspective on the 2016 US Presidential Election A Stewart Fotheringham, Z Li, LJ Wolf Annals of the American Association of Geographers 111 (6), 1602-1621, 2021 | 41 | 2021 |
| Fused Silica with Embedded 2D‐Like Ag Nanoparticle Monolayer: Tunable Saturable Absorbers by Interparticle Spacing Manipulation R Li, C Pang, Z Li, M Yang, H Amekura, N Dong, J Wang, F Ren, Q Wu, ... Laser & Photonics Reviews 14 (2), 1900302, 2020 | 37 | 2020 |
| On the measurement of bias in geographically weighted regression models H Yu, AS Fotheringham, Z Li, T Oshan, LJ Wolf Spatial Statistics 38, 100453, 2020 | 36 | 2020 |
| The PySAL Ecosystem: Philosophy and Implementation SJ Rey, L Anselin, P Amaral, D Arribas‐Bel, RX Cortes, JD Gaboardi, ... Geographical Analysis 54 (3), 467-487, 2022 | 34 | 2022 |
| A comment on geographically weighted regression with parameter-specific distance metrics T Oshan, LJ Wolf, AS Fotheringham, W Kang, Z Li, H Yu International Journal of Geographical Information Science 33 (7), 1289-1299, 2019 | 28 | 2019 |
| A response to ‘A comment on geographically weighted regression with parameter-specific distance metrics’ B Lu, C Brunsdon, M Charlton, P Harris International Journal of Geographical Information Science 33 (7), 1300-1312, 2019 | 19 | 2019 |
| NoSQL Databases Z Li The Geographic Information Science & Technology Body of Knowledge, 2018 | 17 | 2018 |
| On the notion of ‘bandwidth’in geographically weighted regression models of spatially varying processes AS Fotheringham, H Yu, LJ Wolf, TM Oshan, Z Li International Journal of Geographical Information Science 36 (8), 1485-1502, 2022 | 14 | 2022 |
| Do Places Have Value?: Quantifying the Intrinsic Value of Housing Neighborhoods Using MGWR M Sachdeva, S Fotheringham, Z Li Journal of Housing Research, 1-29, 2022 | 12 | 2022 |
| Are We Modelling Spatially Varying Processes or Non‐linear Relationships? M Sachdeva, AS Fotheringham, Z Li, H Yu Geographical Analysis 54 (4), 715-738, 2022 | 11 | 2022 |
| Leveraging explainable artificial intelligence and big trip data to understand factors influencing willingness to ridesharing Z Li Travel Behaviour and Society 31, 284-294, 2023 | 8 | 2023 |
A. Stewart FotheringhamProfessor of Computational Spatial Science, Arizona State UniversityVerified email at asu.edu
