A keystroke level analysis of manual map digitizing

  • Peter Haunold
  • Werner Kuhn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 716)


The acquisition of digital spatial data is a key economical factor in GIS projects. Transforming analog graphic data by manual digitizing is slow and therefore extremely expensive. The work reported here investigates the possibility of applying the Keystroke-Level Model to the modeling and optimization of manual digitizing tasks. This model predicts the time it takes an experienced user to perform routine tasks on a given system. It has been applied successfully for text editing tasks. Here, its suitability for manual digitizing is being tested and additional unit tasks are determined.

The suitability of the Keystroke-Level Model for manual digitizing tasks is analyzed in the context of a major national map digitizing effort. The agency responsible for topographic and cadastral mapping in Austria (Bundesamt für Eich- und Vermessungswesen, BEV) is currently developing a digital cadastral map (Digitale Katastral-Mappe, DKM). Scanned cadastral maps are being manually digitized on screen in order to transform analog graphic data into digital form. The article describes the principles of the model, the design of an experiment, and encouraging first results.


Button Press Expert User Manual Digitize Text Editing Digitize Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Peter Haunold
    • 1
  • Werner Kuhn
    • 1
  1. 1.Department of GeoinformationTechnical University ViennaViennaAustria

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