Welcome to the visualization component of the projects 'Early music printing in German-speaking lands: Technical and repertoire development (2012–15)' and 'From the 1470s to the mid-16th century (2015–20)'. Both projects were funded by the Austrian Science Fund (FWF), project numbers P 24075-G23 and P 28353-G26, and directed by Prof. Dr. Andrea Lindmayr-Brandl at Salzburg University. The research was supported by the project team members Dr. Elisabeth Giselbrecht, Dr. Dr. Grantley McDonald, Dr. Marianne Gillion, Dr. Moritz Kelber and Dr. Karina Zybina and RSA FG Research Studio iSPACE for the spatio-temporal visualization component.
Go to project website
All music prints (timespan)
This interactive map shows the distribution and increase of all music prints between 1470 and 1550. The available tools are the time-slider and a simple filter. This map allows the visualization of how the spatial spreading of early printed music has changed and developed over time.
Clusters by location
In this map, which allows even deeper insights into the data, users can use the 'sum widget' to calculate dynamic clusters depending on the zoom-level and map extent. In addition, it is possible for users to create their own complex filters.
Heatmap with filtering options
A heatmap is calculated automatically based on the music print data shown on the map. In addition to the time-slider, there is a group filter that can be used to reveal information about distribution and clustering over time.
Dashboard view of VDM data
Discover insights about early printed music data (1470 - 1550). The research data can be analyzed in more detail in this dynamically linked dashboard. You can click on the different charts to explore the early music print data.
Categories of music prints (single)
This map is similar to the 'Heatmap (filter)' map, with the difference that each music print is shown only as a single point on the map (with no heatmap or clustering).
Categories of music prints (multiple)
This web map is primarily for advanced users who are familiar with the music print data and can be used to create own complex filters. As a result, the user is able to derive new research questions from the data.
Downloadable open research data and services
This page contains links to downloadable data and standardized services of the open research data provided by this project. The different formats (e.g. MS Excel, GeoJSON and GML) as well as services (OGC and ArcGIS REST) cover many different applications.
Ownership information
This page contains information to ownership and authorship of the web page.