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Possibilities and prospects on the GIS analysis of landscape history

Dive into GIS analysis of landscape history with insights on available tools and future potentials. Explore harmonisation methods, vector and raster techniques, and the 'ŐRSÉG' test area results. Discover the value of historical maps in various fields.

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Possibilities and prospects on the GIS analysis of landscape history

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  1. Possibilities and prospects on the GIS analysis of landscape history A methodological overview of the currently available tools and some prospects for the near future G. Király – É. Konkoly-Gyuró – D. Nagy Univ. of West Hungary, Faculty of Forestry

  2. Outline • Introduction • Harmonisation • Analysis methods • Vector methods • Raster methods • Combine methods • Test Area ‘ŐRSÉG’ • Results • Conclusions

  3. Introduction • Historical maps are become more valued • They connect a lot of different field, such as history, geography, ecology, managements, etc. • Their GIS analysis give much more knowledge, than traditional viewing

  4. GIS Analysis Possible, when comparable maps are available • Geometrically • Thematically

  5. Geometric harmonisation • Control Points • Control Lines • Control Areas • Application of DEMs • Point features – mountains • Linear features – ridges and valleys • Areal features – plateaus, lakes

  6. Control Points – Mountain peaks Control Lines - Valleys Application of DEM1st Military and peaks

  7. Control Points – Mountain peaks Control Lines - Valleys Application of DEM2nd Military and peaks

  8. Control Points – Mountain peaks Control Lines - Valleys Application of DEM 3rd Military and peaks

  9. Control Points – Mountain peaks Control Lines - Valleys Application of DEM SRTM DEM and peaks

  10. Control Points – Mountain peaks Control Lines – Valleys valleys from 1st Military Application of DEM SRTM DEM and peaks

  11. Thematic harmonisation • Reclassifying tables • Universal • Unambiguous • Hierarchic • from ~50 categories…

  12. Thematic harmonisation • Reclassifying tables • Universal • Unambiguous • Hierarchic • … to 9 categories

  13. Vector analysis Polygon overlay Forward Backward Raster analysis Classic analysis methods

  14. Complex methods • Inclusion of DEMs • Profile based • Area based • Inclusion of other data

  15. Focus Area ‘ŐRSÉG’

  16. Results – overlay of vectors

  17. Results – raster analysis 3rd 1st

  18. Conclusions • Harmonisation is very crucial • DEMs can help in geometric harmonisation • Inclusion of DEM can help to interpret the changes

  19. Thank You for the attention! Questions?

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