S EMI -A UTOMATED R OCK D EPICTION M ETHODS FOR L ARGE S CALE T - PowerPoint PPT Presentation

May 04, 2023 •98 likes •316 views

S EMI -A UTOMATED R OCK D EPICTION M ETHODS FOR L ARGE S CALE T OPOGRAPHIC M APS Matthias Grnwald, Karel Kriz University of Vienna, Department of Geography and Regional Research, Cartography and GIS, Vienna, Austria Content Objectives and

S EMI -A UTOMATED R OCK D EPICTION M ETHODS FOR L ARGE S CALE T OPOGRAPHIC M APS Matthias Grünwald, Karel Kriz University of Vienna, Department of Geography and Regional Research, Cartography and GIS, Vienna, Austria
Content  Objectives and restrictions  Background: Manually drawn rock depictions  Principles and elements  Method  Process of automation  Data Generation  Outcome  Problems
Objectives  Creating rock depiction primary from DEM  Large scales (1 : 25.000 / 1 : 50.000)  Semi-automated method  Combination of automated processes and manual steps  Based on principles and elements of known manual methods  Restrictions  No detection of edges and rock boundary  Not trying to copy or reproduce
Manually drawn rock depictions Brenta 1:25.000 (Aegerter) ÖAV
Manually drawn rock depictions Ötztaler Alpen 1:25.000 (Ebster) ÖAV
Manually drawn rock depictions Gosaukamm 1:10.000 (Brandstätter) ÖAV
Manually drawn rock depictions Schweizer Landeskarte 1:25.000
Principles and elements • Horizontal and vertical lines / hachures • Steep slopes: replace horizontal with vertical lines („ Scharungsersatz “ - ÖAV Brandstätter) • Drawing elements depending on slope value • Shadow hachuring (Swiss Method) • Variation of stroke depending on aspect • „crumpled“ Lines • Variation of color and patterns of all elements • Rock boundary / relief edges (  manually added)
Shadow hachuring Hurni; 1998 Gilgen; 1998
Steep slopes: Vertical hachures / lines Gilgen; 1998
Process of automation  Base data: DEM (10m) Raster  Generating Data Vector  GIS functions (GDAL, Python)  „Cartographic depiction “  Manipulation of graphic variables (→ Line patterns, styles, colors)  Cartogr. tool (mapyrus)  Graphic revision, post-processing Raster  Graphic library (ImageMagick)
Process of automation Cartographic Graphic Rock Data generation depiction revision depiction
Data generation
Data generation
Webinterface Templates Slope Aspect Color / Pattern
Outcome
Details
Map Samples Veitsch-Nord
Details
Problems: Plain slopes  Different line patterns  Adding (minor) edges or other relief elements / details (gullies)  Similar problem with flat slopes
Comparison ÖK 50

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