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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

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
Outline
  • Introduction
  • Harmonisation
  • Analysis methods
    • Vector methods
    • Raster methods
    • Combine methods
  • Test Area ‘ŐRSÉG’
  • Results
  • Conclusions
introduction
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
gis analysis
GIS Analysis

Possible, when comparable maps are available

  • Geometrically
  • Thematically
geometric harmonisation
Geometric harmonisation
  • Control Points
  • Control Lines
  • Control Areas
  • Application of DEMs
    • Point features – mountains
    • Linear features – ridges and valleys
    • Areal features – plateaus, lakes
application of dem srtm dem and peaks1
Control Points – Mountain peaks

Control Lines – Valleys

valleys from 1st Military

Application of DEM SRTM DEM and peaks
thematic harmonisation
Thematic harmonisation
  • Reclassifying tables
    • Universal
    • Unambiguous
    • Hierarchic
  • from ~50 categories…
thematic harmonisation1
Thematic harmonisation
  • Reclassifying tables
    • Universal
    • Unambiguous
    • Hierarchic
  • … to 9 categories
classic analysis methods
Vector analysis

Polygon overlay

Forward

Backward

Raster analysis

Classic analysis methods
complex methods
Complex methods
  • Inclusion of DEMs
    • Profile based
    • Area based
  • Inclusion of other data
conclusions
Conclusions
  • Harmonisation is very crucial
  • DEMs can help in geometric harmonisation
  • Inclusion of DEM can help to interpret the changes
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