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Possibilities and prospects on the GIS analysis of landscape history

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. Outline. Introduction Harmonisation

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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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