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This is input data for the spatial panel data analysis
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创建时间：
2022-12-09
相关数据集
Spatio-temporal models for large-scale indicators of extreme weather
Extreme weather events such as thunderstorms and tornadoes are of great concern as these events pose a significant threat to life, property, and economic stability. Because of...
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A Bayesian Monte Carlo approach for predicting the spread of infectious diseases
In this paper, a simple yet interpretable, probabilistic model is proposed for the prediction of reported case counts of infectious diseases. A spatio-temporal kernel is derived from training data to
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Summary of fixed effects from Bayesian spatiotemporal regression for Vector Index representing WNV transmission risk in Emilia-Romagna: posterior mean and 95% credible intervals (CrI) for predictor variables.
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Dynamic Spatiotemporal Feature Extraction Integrating Temporal Information and Fluctuation Features For Traffic Prediction
Short-term traffic flow prediction reflects changes in the traffic system, aiding in signal control, route planning, and congestion reduction. However, existing methods often overlook fluctuation feat
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Code and data for the paper: A flexible multi-scale spatio-temporal modeling approach for disentangling meteorological and anthropogenic drivers of air pollution
simulation.R is used to implement the simulation experiment introduced in the third part of the article.empirical model.R implements the method proposed for air pollution empirical study.multiscale ne
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