Country Borders is a complete list of countries and the associated land border countries (the neighbouring countries).

Bioinformatics Pipeline

ReactJS frontend web application for browsing, downloading, and inquiring about TNRIS public data and historical imagery.

This list contains the grouping terminology grouped based on the country code (ISO3166-1).

☑️ Rôzne zoznamy a slovníky (všeobecný, synonymický, frazeologický, odborný, cudzích slov, slang/vulgarizmy, archaizmy) a pre rôzne jazyky (ENG, LAT, CZ, SK, ESP, DE)

Workshop held at WZB: Working with geo-spatial data in R - Obtaining, linking and plotting geographic data

A security-oriented Python script with bulk image analysis and security features such as metadata scrubbing, image file analysis, GPS data check, and file renaming.

Wind turbines tracker built with React using Google Maps JavaScript API

C++17 and python API to work with geo-data (seismic, wells, maps, other in process) based on HDF5. Aimed at geoscientists and developers.

Yamap Ain't Map – deployment of OSM infrastructure project inspired by osm-seed

Explore a diverse collection of freely available geospatial datasets in this repository. Whether you're working with Shapefiles, GeoJSON, KML, or other formats, these datasets are ready to enrich your geospatial analyses. Dive into Python notebooks from other repositories to see how you can integrate and leverage these datasets seamlessly

This app transforms and shows geo-data points (lon, lat) for selected countries on custom mercator maps (pixels)

FileArchiver is a robust tool designed to safely archive outdated data from very large datasets (Terabyte size) and efficiently filter geo-data for mapping purposes. Developed for Deutsche Bahn AG, it streamlines the management of extensive geographical data to optimize storage and enhance data processing efficiency.

Parking map of Brussels with parking conditions

A current project contributing to Omdena's initiative to develop an AI-based system for wildfire spread prediction and early warning in Uttarakhand. This contribution focuses on using Land Surface Temperature (LST) data, geospatial analysis with Google Earth Engine, and Python to predict wildfire behaviors and identify potential hotspots.

A interactive app for Maps for Geojson, Geohash, Slippy map tiles, quad tiles

Site with geo-information about Moscow (interesting places, events, people)

Snowflake latitude longitude classification using snowpark