Spatial Modelling for Data Scientists

spatialreg: spatial models estimation and testing

Course: Introduction to Geographic Data Science

Book: Intermediate Spatial Econometrics using R

Spatial Econometrics web app made with R and Shiny

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.

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.

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”.

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

This repository reproduces the study "Social Connections and Views in Europe"

Testing for Spatial Structure of Qualitative Data in Cross Section

We analyse population-adjusted confirmed case rates based on daily US county-level variations in COVID-19 confirmed case counts during the first several months of the pandemic to evaluate the spatial dependence between neighbouring counties and quantify the overall spatial effect of socio-economic demographic factors on the prevalence of COVID-19

The Spatial Econometrics Association

my blog about learning geospatial modelling.