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Data description of "building age map, Vienna, around 1920".
Ferdinand Reimer1, Ulrich Kral1, Emre Can Sönmez2
1Institute for Water Quality and Resource Management, Technische Universität Wien, Karlsplatz 13/226, Vienna 1040, Austria.
A new digital building age map of Vienna around 1920 was created by vectorizing historical maps. This enables new spatio-temporal analysis of urban development and building stock history.
Area of Science:
- Urban Planning
- Historical Geography
- Geographic Information Systems (GIS)
Background:
- Building age maps are crucial for understanding urban development but historical maps are often unavailable.
- Vienna possesses a unique analog building age map from around 1920, covering 80% of the present building footprint.
- The analog format hinders spatial analysis and the creation of historical time-series data for building stock.
Purpose of the Study:
- To digitize Vienna's 1920 analog building age map for enhanced spatial analysis.
- To create a comprehensive dataset for studying building stock evolution over the last century.
- To facilitate urban history research and resource management through accessible historical building data.
Main Methods:
- Manual vectorization of 80,640 building footprints from 134 historical map sheets.
- Digitization of color-encoded thematic information from the analog map to assign construction dates.
- Cross-referencing with a historical building registry using address matching for date validation.
Main Results:
- A digital building age map of Vienna circa 1920 was generated, covering 2,279 hectares of building footprint.
- Analysis revealed 14% of buildings were older than 70 years and 63% were younger.
- Data quality checks and validation against external sources were performed, with discussions on limitations and improvements.
Conclusions:
- The created digital dataset provides valuable insights into Vienna's building stock history.
- This resource supports spatio-temporal analysis of urban development, aiding historical research and urban management.
- The study highlights the importance of digitizing historical spatial data for contemporary research applications.
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