Ziqi Li
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
692019
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
412020
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
292019
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
282015
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
Computational improvements to multi-scale geographically weighted regression
Z Li, AS Fotheringham
International Journal of Geographical Information Science 34 (7), 1378-1397, 2020
92020
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
92019
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
92019
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
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
42020
NoSQL Databases
Z Li
The Geographic Information Science & Technology Body of Knowledge, 2018
42018
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, 1-8, 2020
32020
Understanding the Interaction between Human Activities and Physical Health under Extreme Heat Environment in Phoenix, Arizona
Q Zhao, Z Li, D Shah, H Fischer, P Solís, E Wentz
OSF Preprints, 2021
2021
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, 1-20, 2021
2021
Multiscale Geographically Weighted Regression Computation, Inference, and Application
Z Li
Arizona State University, 2020
2020
MGWR 2.2 User Manual
Z Li, T Oshan, S Fotheringham, W Kang, L Wolf, H Yu, M Sachdeva, ...
https://sgsup.asu.edu/sparc/mgwr, 2020
2020
ActivityLog-HeatMappers: A Novel Research Data Collection Tool for Logging Activities, Locations and Environment Data
Z Li, Q Zhao, D Shah, W Luo, H Fischer, P Solis, EA Wentz
99th American Meteorological Society Annual Meeting, 2019
2019
Analysis of Remotely-sensed, Reanalysis and Observational Data to Assess Land Surface Temperature Change in the Lower Yenisei River Region of Russia
Z Li
The George Washington University, 2016
2016
CALM at 21: Results of long-term monitoring of the active layer/upper permafrost system.
NI Shiklomanov, FE Nelson, DA Streletskiy, AE Klene, Z Li
AGU Fall Meeting Abstracts, 2015
2015
Impacts of Urban and Industrial Development on Arctic Land Surface Temperature in Lower Yenisei River Region, Russia
Z Li, N Shiklomanov
AGU Fall Meeting Abstracts, 2015
2015
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Articles 1–20