There are 11 repositories under spatial-data-science topic.
Tidy Geospatial Networks in R
Automated Valuation Machine Learning Model for Lima House Pricing
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.
LoD1 3D City Model from OpenStreetMap contributions and raster DEM
Python module to access shootings reported in Fogo Cruzado app.
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.
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.
Analyzing Urban Heat Islands Risk Index
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.
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. 🌸
Base teórica de geomática e prática no python de geoprocessamento para geospatial data science. Página em construção.
Tools for working with ndjson, turning geojson into ndjson, spatial tools
Figures from ENGAGER Energy Poverty Encyclopedia entry on sub-regional indicators
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.
The code simulates the movement of birds between various stations, generating data points for each visit, including the station visited, exact (slightly perturbed) coordinates, and a timestamp. This data is stored in a GeoDataFrame that can be used for spatial analysis and visualization.
01.12.18 - Notebook provides basic introduction to spatial data science in python for UMN Day of Data 2018
3D City Models & Spatial Data Science for Geography and Sustainable Development Education
Présentation détaillée des compétences SIG de Christophe Wardius
Leveraging Python for Spatial Data Science
A near real-time data pipeline and analysis platform for exploring the spatiotemporal dynamics of fatal and serious injury vehicle accidents in Minnesota. Independent MGIS project at the University of Minnesota supervised by Dr. Bryan Runck.
This repository holds a collection of labs and projects completed for Intermediate Spatial Data Science and Advanced Spatial Data Science at the University of Minnesota.
The Spatial Econometrics Association
A very simple program for beginners (like me :D) in python - Using python module like folium you can create a simple map showing Seven wonders of the world on a basemap
A very simple yet a very useful project - In this project, I have created an automated script to fetch pixel values from a given set of coordinates.
🌍🌾 Presentation of the Article "Climate Change May Alter the Availability of Wild Food Plants in the Brazilian Semiarid"
Page for the Additional Information for the poster titled "Access to Stroke Facilities in Kerala: A Spatial Analysis at the Sub-District Level"; submitted to the 16th World Stroke Congress 2024 @ Abu Dhabi, 23-26th October, 2024
Workshop for 5th Spatial Data Science Symposium: Teaching reproducibility