About
MUNDa is a spatial analysis platform for data annotated inENTMARKUSandCOMARKUS. It imports XML files exported fromX-MARKUS, allowing the data to be displayed and explored in an interactive GIS environment, complete with various topographic and historical administrative layers, that preserves their context and also allows for AI-assisted analysis of the spatial data. MUNDa also allows for the visualization of spatial data in TSV and similar formats.
MUNDa was designed and developed by Dr. Lin Nung-Yao, Dr. Tu Hsieh-Chang, Prof. Dr. Hilde De Weerdt, and Dawn Zhuang as part of the Regionalizing Infrastructures in Chinese History (RegInfra) project.
This research is part of a project that has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. 101019509).
To cite the software when you use it in your research or teaching, please use the following bibliographic information:
Platform
Lin Nung-Yao, Tu Hsieh-Chang, Hilde De Weerdt, Dawn Zhuang. 2025-. MUNDa Spatial Analysis.https://munda.xmarkus.org
Code
In progress
Instructions
In progress
For a discussion of the design rationale of MUNDa and the broader MARKUS environment:
Hilde De Weerdt, Brent Ho, Rainer Simon, Lee Sunkyu, Sander Molenaar, Xi Wangzhi, Dawn Zhuang, Iva Stojević, Tu Hsieh-Chang, Taylor Zaneri, Lin Nung-yao, and Meret Meister."Contextual Semantic Text and Image Annotation in the MARKUS Environment."Digital Humanities Quarterly 19.3 (2025).
