GenealogyVis: A System for Visual Analysis of Multidimensional Genealogical Data

@article{Liu2017GenealogyVisAS,
  title={GenealogyVis: A System for Visual Analysis of Multidimensional Genealogical Data},
  author={Yuhua Liu and Sicheng Dai and Changbo Wang and Zhiguang Zhou and Huamin Qu},
  journal={IEEE Transactions on Human-Machine Systems},
  year={2017},
  volume={47},
  pages={873-885}
}
The study of genealogy is an increasingly popular activity pursued by millions of people, ranging from hobbyists to professional researchers. Such genealogical datasets provide a great opportunity for social science analysts, historians, and the public to study a wide variety of topics in demography, family and household, kinship, stratification, and health. Nevertheless, the large scale and characteristics of the data such as hierarchical, spatiotemporal, and multidimensional also pose special… CONTINUE READING