desCartes

Map processor

Automated road detection and network analysis from historical maps.

desCartes recognises roads on old maps, and converts them to vector lines that can be used in GIS applications and historical transport network analysis.

GitHub

65 stars
3 watching
1 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
johannesuhl/hironex A tool for automatically extracting historical road networks from maps using machine learning and spatial analysis 74
evs-gis/hmvt-cli A toolbox for vectorizing historical map data using Python 3
microsoft/roaddetections Automating road detection from aerial imagery using deep learning techniques. 541
z3tt/30daymapchallenge2019 A collection of spatial visualizations and maps created using various tools and techniques. 200
raphaelquast/eomaps A Python package to create interactive maps of geographical datasets 341
johnyf/openstreetmap A tool for analyzing and visualizing road networks from OpenStreetMap data 96
maps-as-data/mapreader A computer vision tool for analyzing map images at scale. 97
ros-geographic-info/open_street_map Provides ROS packages for accessing Open Street Map data 81
urban-analytics-technology-platform/od2net Helps analyze and plan cycling routes by integrating origin/destination data with street networks 32
cartesapp/cartes An open-source mapping application with features for exploring public spaces and calculating ecological itineraries. 227
nypl-spacetime/map-vectorizer Automates geographic polygon and attribute data extraction from maps. 649
ungarj/mapchete Tool for processing geospatial data in small chunks 197
trailbehind/deeposm Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. 1,321
bjlittle/geovista A library that provides cartographic rendering and mesh analytics capabilities powered by PyVista and VTK. 167
kmarkert/cartoee A Python package for processing Earth Engine data and creating publication-quality maps using Cartopy. 47