Spatial Modelling for Data Scientists
spatialreg: spatial models estimation and testing
Course: Introduction to Geographic Data Science
Hierarchical Spatial Autoregressive Model
Spatial Econometrics web app made with R and Shiny
modeling neighborhood spillovers with Bayesian inference
Spatio-temporal hotspot analysis of traffic accidents in Saudi Arabia. The analysis is conducted using Python PySAL library on traffic accidents data from the years 2015 to 2018. The results are presented using Plotly library.
Seminar on spatial analysis: 20-21 May 2019, Bilbao, Universidad del País Vasco.
Detection of spatio temporal hotspots of traffic accidents in Saudi Arabia for the years 2015 to 2018. The data is aggregated nonetheless using Hijri calendar years 1437, 1438, 1439. Each Hijri year consists of 12 months and approx. 355 days.
Pre-print of Rey-Blanco, D., Arbués, P., López, F. A., & Páez, A. (2022). Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets. Environment and Planning B: Urban Analytics and City Science. 23998083231166952
Spatial Econometrics models
Este repositorio analiza el comportamiento de tests espaciales ante modelos econométricos mal especificados
Estimation and inference for boundary regression discontinuity designs using location-based and distance-based methods, with MSE-optimal bandwidth selection, robust bias correction, and uniform confidence bands. Stata implementation.
Immersive spatial-statistics trainer — 空间探案局. Investigate a grid city with neighbors, weights matrix W, Moran's I and LISA. Four labs plus six cases (heat, epidemic, housing, crime, traffic, capstone). Certificate and XP.
Spatial analysis of poverty risk and socioeconomic inequalities across Italian NUTS 2 regions using R, global and local spatial statistics, and spatial regression models.
This project examines how primary sector employment influences municipal income levels in Austria using spatial regression models. It demonstrates the application of spatial econometrics (SAR/SEM) to socio-economic data.
This repository contains the supplementary materials (code, data and plots) for the paper “SPATIAL MODELLING OF KEY REGIONAL-LEVEL FACTORS OF COVID-19 MORTALITY IN RUSSIA”.
Spatial data pipelines and geospatial analysis for a Paris housing-price econometrics thesis.
The Spatial Econometrics Association
pysal for migration: a workshop on spatial graphs, spatial interaction models, and spatial econometrics for the northeastern regional science association
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