Spatial Modelling for Data Scientists

Course: Introduction to Geographic Data Science

Script do meu projeto de conclusão de curso no MBA em Data Science e Analytics pela USP/Esalq.

The study employs Moran’s I statistic and Local Indicators of Spatial Association (LISA) to analyze spatial patterns and dependencies in housing prices across U.S. counties.

A basic tutorial on implementing Moran's I analysis in R

This project aims to analyse the availability and accessibility of green zones in the city of Valencia, Spain, using spatial analysis techniques.

Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet

Analysis of spatial distribution of income in Italy

Create variograms, krige, and generate correlograms by utilizing gstat and spdep!

R code for spatial correlogram analysis. Expanded functionality for binning pairs into distances lags, calculating autocorrelation coefficients (via spdep and vegan), and plotting correlograms. Beta 0.1

Lattice Data with R (City of Cape Town)

The dataset records the total number of road traffic accidents in each state for the given period, categorizing the accidents into fatal, severe, and minor incidents. This comprehensive dataset is valuable for analyzing trends and patterns in road safety across the country, helping to identify regions with higher accident incidences.