Tidy Geospatial Networks in R

The Geospatial Neighborhood Analysis Package

Spatial cross-validation in Python.

Automated Valuation Machine Learning Model for Lima House #

AISdb Python package for smart AIS data storage and interaction.

Spatial Data Science Complementary Features

Repository for the website of the book (github hosting support)

Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached.

An R package for handling fuzzy spatial data

LoD1 3D City Model from OpenStreetMap contributions and raster DEM

Python module to access shootings reported in Fogo Cruzado app.

Analyzing Urban Heat Islands Risk Index

Contains materials to reproduce descriptive statistics and figures from 'Spatial Inequality in the Smart City: The Sensor Desert Quandary" published in Transactions of the Institute of British Geographers.

Base teórica de geomática e prática no python de geoprocessamento para geospatial data science. Página em construção.

Materials for the Introduction to Spatial Data Science and Machine Learning workshops and UCL's Urban Design B-Pro programme 2022/2023

🗾 Exploring Japan's spatial patterns through data analytics! From temple networks to urban dynamics, this Python-powered repository uncovers hidden geographic insights across traditional and modern Japanese landscapes. 🌸

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.

We will try to bring up the information related to the spatial data science together in this page. Please add the details so as to bring up the related topics in single place.

AISdb Python package (server-side) for smart AIS data storage and interaction.

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.