Levi John Wolf
Title
Cited by
Cited by
Year
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
612019
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
352020
Single and multiscale models of process spatial heterogeneity
LJ Wolf, TM Oshan, AS Fotheringham
Geographical Analysis 50 (3), 223-246, 2018
332018
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
192015
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
152019
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 (4), 377-398, 2016
152016
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
132019
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
102019
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
92019
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
82018
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
72020
Spatial filtering for identifying a shortest path around obstacles
I Hong, AT Murray, LJ Wolf
Geographical Analysis 48 (2), 176-190, 2016
72016
The Dynamics of Urban Neighborhoods: A Survey of Approaches for Modeling Socio-Spatial Structure
E Knaap, L Wolf, S Rey, W Kang, S Han
SocArXiv, 2019
42019
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
32020
Regional inequality dynamics, stochastic dominance, and spatial dependence
SJ Rey, W Kang, LJ Wolf
Papers in Regional Science 98 (2), 861-881, 2019
32019
On the lumpability of regional income convergence
LJ Wolf, S Rey
Letters in spatial and resource sciences 9 (3), 265-275, 2016
32016
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
22020
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, 0309132520924722, 2020
22020
An open-source framework for non-spatial and spatial segregation measures: the PySAL segregation module
RX Cortes, S Rey, E Knaap, LJ Wolf
Journal of Computational Social Science 3 (1), 135-166, 2020
22020
Adaptive Choropleth Mapper: An Open-Source Web-Based Tool for Synchronous Exploration of Multiple Variables at Multiple Spatial Extents
SY Han, S Rey, E Knaap, W Kang, L Wolf
ISPRS International Journal of Geo-Information 8 (11), 509, 2019
22019
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Articles 1–20