Sketch map tool (HeiGIT)

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Sketch Map Tool
Author: HeiGIT
License: GNU AGPL v3 (free of charge)
Platforms: Windows, Linux, and macOS
Version: 2.0.2 (2023-02-09)
Languages: English and multiple languages
Website: https://sketch-map-tool.heigit.org/
Source code: https://github.com/GIScience/sketch-map-tool
Programming language: Python

Re-digitizable paper maps for offline data collection in the field

Features
Feature Value
Map Display
Display map yes
Map data raster;vector
Source offline
Rotate map
?
3D view
?
Shows website
?
Shows phone number
?
Shows operation hours
?
Routing
?
Navigating
?
Tracking
?
Monitoring
Monitoring
?
Show current track
?
Open existing track yes
Altitude diagram
?
Show POD value
?
Satellite view
?
Show live NMEA data
?
Show speed
?
Send current position
?
Editing
Add POIs
?
Edit / Delete POIs
?
Add way
?
Edit geometries
?
Edit arbitrary tags of existing OSM objects
?
Edit relations
?
View notes
?
Create notes
?
Edit notes
?
Work offline offline
Support imagery offset DB
?
Upload to OSM
?
Rendering
?
Accessibility
?

Sketch Map Tool is an open-source and free of charge tool developped by the non-profit Heidelberg Institute for Geoinformation Technology. Officially launched on 2023-02-22, it’s designed to support participatory sketch mapping through offline collection, digitization and georeferencing of local spatial knowledge.

The main application is for working with a community in a paper-based format before analysing the results digitally. It is a pen and paper solution based on OpenStreetMap.

Steps

After you finished mapping you just take a picture of the map and upload and the markings on the map will be automatically detected and geo-referenced. Described in four steps:

Using the tool can be divided into multiple steps as follow:

  • Choosing an area of interest and checking the OpenStreetMap data quality.
  • Printing the map(s) out on paper.
  • Physically collect the data through pen markings on paper.
  • Upload a picture of the marked map(s) on the website, the markings will be detected and processed into spatially correct data which can be exported in multiple formats (GeoTIFF, GeoJSON,…) for further analysis.


See also