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: almost 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
johannesuhl/hironexA tool for automatically extracting historical road networks from maps using machine learning and spatial analysis74
evs-gis/hmvt-cliA toolbox for vectorizing historical map data using Python3
microsoft/roaddetectionsAutomating road detection from aerial imagery using deep learning techniques.541
z3tt/30daymapchallenge2019A collection of spatial visualizations and maps created using various tools and techniques.200
raphaelquast/eomapsA Python package to create interactive maps of geographical datasets341
johnyf/openstreetmapA tool for analyzing and visualizing road networks from OpenStreetMap data96
maps-as-data/mapreaderA computer vision tool for analyzing map images at scale.97
ros-geographic-info/open_street_mapProvides ROS packages for accessing Open Street Map data81
urban-analytics-technology-platform/od2netHelps analyze and plan cycling routes by integrating origin/destination data with street networks32
cartesapp/cartesAn open-source mapping application with features for exploring public spaces and calculating ecological itineraries.227
nypl-spacetime/map-vectorizerAutomates geographic polygon and attribute data extraction from maps.649
ungarj/mapcheteTool for processing geospatial data in small chunks197
trailbehind/deeposmTrains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data.1,321
bjlittle/geovistaA library that provides cartographic rendering and mesh analytics capabilities powered by PyVista and VTK.167
kmarkert/cartoeeA Python package for processing Earth Engine data and creating publication-quality maps using Cartopy.47