https://github.com/nkarasiak/historicalmap

Qgis Plugin for automatic extraction of forest from Historical Map
https://github.com/nkarasiak/historicalmap

Last synced: 2 months ago
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Qgis Plugin for automatic extraction of forest from Historical Map

• Host: GitHub
• URL: https://github.com/nkarasiak/historicalmap
• Owner: nkarasiak
• License: gpl-2.0
• Created: 2016-01-18T11:56:52.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2016-12-01T10:24:33.000Z (over 8 years ago)
• Last Synced: 2025-02-28T11:39:13.943Z (3 months ago)
• Language: Python
• Size: 114 MB
• Stars: 16
• Watchers: 6
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
![Logo](https://raw.githubusercontent.com/lennepkade/HistoricalMap/master/img/historical_logo.jpg "Historical Map Plugin for Qgis")









# Historical Map, Qgis plugin 

Qgis Plugin for automatic extraction of forest from Historical Map, especially for [general staff maps (Carte de l'Etat-Major in French)](https://fr.wikipedia.org/wiki/Carte_d%27%C3%89tat-Major)

Made By [Nicolas Karasiak](http://www.karasiak.net) and Antoine Lomellini.

Based on the work of Pierre-Alexis Herrault, with the help of Mathieu Fauvel.

# Need help ?

If you want a tutorial or some help using this plugin, please consult our wiki.

## Installation of scikit-learn for using algorithms

On Linux simply open terminal and type : 

`pip install scikit-learn`

On Windows, you have few more steps to do. Open Windows menu, and search for *OsGeo4W Shell*, open it as administrator (left click > open as an administrator), then type :
 

`curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py`

After get-pip.py has been downloaded write :
 

`python get-pip.py`

Now use pip in OsGeo Shell like on Linux. Just type :
 

`pip install scikit-learn`

You can now use **Random Forest**, **SVM**, or **KNN** !

# Data samples

If you just need some data samples, you can download them from our samples branch.   

To go further you could have a look at our documentation (generated by doxygen).

# To go further

## In english :

Herrault, P.-A., Sheeren, D., Fauvel, M., Monteil M., & Paegelow, M. Automatic extraction of forests from historical maps based on unsupervised classification in the CIELab color space. *16th AGILE Conference on Geographic Information Science*, Lecture Notes in Geographic Information at the Heart of the Europe, pp 95-112, Springer series. http://link.springer.com/chapter/10.1007%2F978-3-319-00615-4_6#page-1

## In french :

Herrault, P.-A., Sheeren, D., Fauvel, M., & Paegelow, M. (2015). Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19 e siècle. *Revue Internationale Géomatique*, 25(1), 35–51. http://doi.org/10.3166/rig.25.35-51  

Herrault, P.-A.. (2015). Extraction de fragments forestiers et caractérisation de leurs évolutions spatio-temporelles pour évaluer l'effet de l'histoire sur la biodiversité: une approche multi-sources. *Géographie et aménagement. Laboratoire GEODE UMR 5602 CNRS / Laboratoire DYNAFOR* UMR 1201 INRA : Université Toulouse - Jean Jaurès, 410p.