This open course bridges GIS and data science with practical labs in R and Python.

Topics span vector and raster data, spatial weights, ESDA, clustering, and networks.

Introduction, Degrees and Radians, Tangents, Chords and Arcs, The Circle Theorems, Cyclic Polygons, Spheres, Cones and Cylinders, Conic Sections

Welcome to Fastreach Fastreach determines the reachable area of public transport given a start station, date and maximum travel duration (isochrone). These parameters can be configured on the panel in the top-left. The travel duration is capped at 120 minutes.

Between stations Fastreach considers walking as well as trains, trams and busses according to their timetables. The reachable area is visualized via a multi-polygon. It’s properties are described in the top-right panel.

Fastreach uses the weekly timetable data provided by Delfi e.V. from the 15 September 2025. Accordingly, timetables can only be considered complete from 15 September to 21 September. Data for walkways is taken from OpenStreetMap. Fastreach’s source code lives on GitHub.

No personal information is processed on this site. For the map tiles your browser makes requests to OpenStreetMap. Their privacy policy can be found here.

Python implementation of R package gridmappr for automated gridmap layout generation. Pygridmappr automates the generation of small multiple gridmap layouts. Given a set of geographic point locations, it creates a grid with specified row and column dimensions, placing each point in a grid cell such that the distance between points in geographic space and grid space is minimized.

This implementation maintains full feature parity with the original R package and replicates the mathematical logic as faithfully as possible.

WALKER DATA is a data science consultancy specializing in geospatial and demographic data support for your business.

Launched in June 2024, JupyterGIS was introduced as a collaborative, web-based GIS environment built on the JupyterLab framework. Its objective is to

JupyterGIS - Collaborative GIS editor in Jupyter.

Features - Collaborative GIS Environment: Work together on geographic data projects in real-time.

QGIS File Support: Load, visualize, and manipulate QGIS project files (.qgs, .qgz), and other GIS data formats.

Interactive Maps: Render interactive maps and geospatial visualizations within Jupyter notebooks using the JupyterGIS Python API.

This demo runs a JupyterLab instance entirely in your browser with WebAssembly! 🤯

A Python package for creating interactive maps with anywidget and JavaScript mapping libraries - opengeos/anymap

MapMatrix - A React application for synchronized multi-view map comparison. Mostly generated by AI. - veloplanner/map-matrix

Access 15 terapixels of Prague’s detailed imagery for your research, for computer vision, photogrammetry, point cloud generation, 3D modeling and more! The Mosaic RealMap project utilizes 1.26 million high-resolution images to provide an unprecedented, detailed street-level map of Prague, aimed at supporting urban planning and data analysis.