SPAtial GrapHs: nETworks, Topology, & Inference

Geographic Data Science'17

Spatial Analysis with R and Python - SEAI 2022 Labs

Supervised machine learning for predicting and interpreting dynamic drivers of plantation forest productivity in northern Tasmania, Australia

Work in progress to the development of methods for road network simplification #GSoC2022

Introdução ao uso da biblioteca PySal para análises exploratórias espaciais.

IPython Notebook for spatial data analysis of electric vehicle charging stations in Ontario, Canada.

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.

01.12.18 - Notebook provides basic introduction to spatial data science in python for UMN Day of Data 2018

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.

Work in progress for the project of panel data econometrics models in spreg from PySAL.

This repo serves as an announcement platform for the PySAL Code of Conduct Committee

k-nearest neighbor network creator for the generation of statistics from geospatial data.

Conducting geodemographic classification for ethnic groups in NYC using K-means algorithm available in sklearn.cluster module.

United States Choropleth Map Creator takes a CSV as an input and creatives an interactive Leaflet map.

Calculating global and local spatial autocorrelation of income noted per each polish county in 2022 based on Moran's I and LISA statistics. Calculations were conducted using the following packages: pySAL, splot.esda, geopandas.