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Multiscale geographically and temporally weighted regression with a unilateral temporal weighting scheme and its application in the analysis of spatiotemporal characteristics of house prices in Beijing
Taylor & Francis Verlag | 2021|Schlagwörter: geographically and temporally weighted regression, multiscale geographically and temporally weighted regression -
Using the waste Kuznet's curve to explore regional variation in the decoupling of waste generation and socioeconomic indicators
Elsevier | 2019|Schlagwörter: Geographically and temporally weighted regression -
Estimating ground-level PM2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model
Elsevier | 2017|Schlagwörter: Geographically and temporally weighted regression -
Exploring annual lake dynamics in Xinjiang (China): spatiotemporal features and driving climate factors from 2000 to 2019
Online Contents | 2021|Schlagwörter: Geographically and temporally weighted regression -
Factors influencing ecosystem services in the Pearl River Delta, China: Spatiotemporal differentiation and varying importance
Elsevier | 2021|Schlagwörter: Geographically and temporally weighted regression -
Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment ----Empirical evidence from tropical and subtropical regions of China
Elsevier | 2019|Schlagwörter: Geographically and temporally weighted regression -
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models
Elsevier | 2021|Schlagwörter: Geographically and temporally weighted regression -
Spatiotemporal Influence of Urban Environment on Taxi Ridership Using Geographically and Temporally Weighted Regression
Freier ZugriffDOAJ | 2019|Schlagwörter: geographically and temporally weighted regression -
Industrial structure, urban governance and haze pollution: Spatiotemporal evidence from China
Elsevier | 2020|Schlagwörter: Geographically and Temporally Weighted Regression (GTWR) -
The varying driving forces of urban land expansion in China: Insights from a spatial-temporal analysis
Elsevier | 2020|Schlagwörter: Geographically and temporally weighted regression -
Spatial-interaction network analysis of built environmental influence on daily public transport demand
Elsevier | 2021|Schlagwörter: Geographically and temporally weighted regression -
Revisiting economic effectiveness of foreign aid: The case of Japanese aid to China
Wiley | 2022|Schlagwörter: geographically and temporally weighted regression -
Spatiotemporal Varying Effects of Built Environment on Taxi and Ride-Hailing Ridership in New York City
Freier ZugriffDOAJ | 2020|Schlagwörter: geographically and temporally weighted regression -
How do industrial land price and environmental regulations affect spatiotemporal variations of pollution-intensive industries? Regional analysis in China
Elsevier | 2021|Schlagwörter: Geographically and temporally weighted regression -
The effect of urbanization on environmental pollution in rapidly developing urban agglomerations
Elsevier | 2019|Schlagwörter: Geographically and temporally weighted regression -
The varying driving forces of PM2.5 concentrations in Chinese cities: Insights from a geographically and temporally weighted regression model
Elsevier | 2020|Schlagwörter: Geographically and temporally weighted regression -
A study on evolution of energy intensity in China with heterogeneity and rebound effect
Elsevier | 2016|Schlagwörter: Geographically and Temporally Weighted Regression Model -
A spatiotemporal ensemble model to predict gross beta particulate radioactivity across the contiguous United States
Elsevier | 2021|Schlagwörter: Geographically and temporally weighted regression -
Improving land surface temperature prediction using spatiotemporal factors through a genetic-based selection procedure (Case Study: Tehran, Iran)
Elsevier | 2022|Schlagwörter: Geographically and temporally weighted regression -
An integrated spatio-temporal approach to examine the consequences of driving under the influence (DUI) in crashes
Elsevier | 2020|Schlagwörter: Geographically and temporally weighted regression
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