Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

Programming for Spatial Data Science course website and online textbook

A companion package to geostructures enabling geo-spatial-temporal data structures

WebGL2 powered visualization framework

GRASS GIS - free and open-source geospatial processing engine

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.

Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

BecaGIS on Streamlit

The FluvialGeomorph ArcGIS toolbox.

GRASS GIS Addons Repository (Manuals: https://grass.osgeo.org/grass-stable/manuals/addons/ | Linux-logs: https://grass.osgeo.org/addons/grass8/logs/ | Windows logs: https://wingrass.fsv.cvut.cz/grass83/addons/grass-8.3.2/logs/)

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core

Geospatial resources for web development 🌍 🗺️

Python Client Library for actinia

This project applies Simulated Annealing to solve the Traveling Salesman Problem using Peru's departments as nodes. Through iterative refinement, it finds the shortest route visiting each department once. Visual feedback enhances understanding and debugging, resulting in an optimal solution displayed with total distance.

Geospatial analysis of the imapcts of hurricane in buildings

UArizona DataLab Workshops

Pipeline for Observational Data Processing Analysis and Collaboration