Suivre
Levi John Wolf
Titre
Citée par
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Année
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
4872019
Inference in multiscale geographically weighted regression
H Yu, AS Fotheringham, Z Li, T Oshan, W Kang, LJ Wolf
Geographical Analysis 52 (1), 87-106, 2020
2512020
Single and multiscale models of process spatial heterogeneity
LJ Wolf, TM Oshan, AS Fotheringham
Geographical Analysis 50 (3), 223-246, 2018
852018
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
502020
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
402021
Quantitative methods I: The world we have lost–or where we started from
R Johnston, R Harris, K Jones, D Manley, WW Wang, L Wolf
Progress in Human Geography 43 (6), 1133-1142, 2019
392019
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
362020
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
342022
Quantitative geography III: Future challenges and challenging futures
LJ Wolf, S Fox, R Harris, R Johnston, K Jones, D Manley, E Tranos, ...
Progress in Human Geography 45 (3), 596-608, 2021
302021
A spatiotemporal compactness pattern analysis of congressional districts to assess partisan gerrymandering: a case study with California and North Carolina
C Fan, W Li, LJ Wolf, SW Myint
Annals of the Association of American Geographers 105 (4), 736-753, 2015
302015
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
282019
The properties of tests for spatial effects in discrete Markov chain models of regional income distribution dynamics
SJ Rey, W Kang, L Wolf
Journal of Geographical Systems 18, 377-398, 2016
262016
Inferring neighbourhood quality with property transaction records by using a locally adaptive spatial multi-level model
G Dong, L Wolf, A Alexiou, D Arribas-Bel
Computers, Environment and Urban Systems 73, 118-125, 2019
232019
A roundtable discussion: Defining urban data science
Organizers, W Kang, T Oshan, LJ Wolf, Discussants, G Boeing, ...
Environment and Planning B: Urban Analytics and City Science 46 (9), 1756-1768, 2019
212019
Geographic data science with python
S Rey, D Arribas-Bel, LJ Wolf
Chapman and Hall/CRC, 2023
202023
Quantitative methods II: How we moved on–Decades of change in philosophy, focus and methods
R Johnston, R Harris, K Jones, D Manley, WW Wang, L Wolf
Progress in Human Geography 44 (5), 959-971, 2020
172020
Urban data/code: a new EP-B section
D Arribas-Bel, S Alvanides, M Batty, A Crooks, L See, L Wolf
Environment and Planning B: Urban Analytics and City Science 48 (9), 2517-2519, 2021
152021
On spatial and platial dependence: Examining shrinkage in spatially dependent multilevel models
LJ Wolf, L Anselin, D Arribas-Bel, LR Mobley
Annals of the American Association of Geographers 111 (6), 1679-1691, 2021
152021
Sensitivity of sequence methods in the study of neighborhood change in the United States
W Kang, S Rey, L Wolf, E Knaap, S Han
Computers, Environment and Urban Systems 81, 101480, 2020
152020
Stochastic efficiency of Bayesian Markov chain Monte Carlo in spatial econometric models: an empirical comparison of exact sampling methods
LJ Wolf, L Anselin, D Arribas‐Bel
Geographical Analysis 50 (1), 97-119, 2018
152018
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