Spatial data
data media type
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Past Lives in Estonian Cultural Data – Developing Interactive Exhibits with 19th Century Parish Court Records and Bibliographical Data
The workflow addresses how 19th-century Estonian parish court records and bibliographical data can be transformed into interactive digital exhibits for the general public. Although these datasets contain rich historical and cultural elements, they are not immediately accessible to non-specialist audiences in their original structured forms. The workflow therefore explores how cultural heritage data can be cleaned, extracted, linked, and redesigned as interactive applications....
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Interactive map of Building Designs in Tartu
This workflow was created during the HUM Hackathon and focuses on building an interactive map application based on the Tartu Building Designs database. The main purpose of this project was to visualise building projects in Tartu between 1870 and 1920. The workflow describes data processing and creating a map application.
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Analysis of Regional and Temporal Patterns in Estonian Instrumental Folk Music
This workflow enables the analysis of the regional and temporal distribution of instruments and instrumental tunes in a dataset of Estonian instrumental folk music. During the workflow, the metadata of the archival dataset are cleaned, instrument and place names are standardised, and broader analytical instrument categories are created as needed. The frequencies of instruments and folk tunes are then calculated by county and time period. The results are presented as frequency tables, diagrams, and maps, which help make visible patterns that would be difficult to detect by looking at individual records.
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Tunes of the World map: Exploring Estonian and Ukrainian Folk Song Heritage
The project aims to create an interactive digital map for exploring Estonian and Ukrainian folk-song traditions through geographical, thematic, emotional, and structural perspectives. Developed during the HUM Hackathon 2026. The current prototype focuses primarily on Ukrainian folk-song materials, while future versions will integrate Estonian datasets and enable cross-cultural comparison. The workflow combines digital humanities methods, natural language processing, cultural heritage data management, and interactive visualisation. Two large folk-song corpora 85,550 Estonian songs and 56,726 Ukrainian songs were prepared, harmonised, analysed, and transformed into a searchable map interface. Users can navigate from ethnographic regions to individual singers and complete song texts, explore emotional and thematic patterns, and investigate the geographical distribution of oral traditions.