Research group in Compositional and Spatial Data Analysis

Scientific production

Selected recent papers:

  • Jan Graffelman & Jan de Leeuw (2023) Improved Approximation and Visualization of the Correlation Matrix, The American Statistician, 77:4, 432-442, DOI: 10.1080/00031305.2023.2186952
  • Le Moine, S.; Lu, G.; Goulaouic, S.; Puzenat, V.; Schouw, A.; Barreyre, T.; Pawlowsky, V.; Egozcue, J. J.; Martelat, J.; Escartin, J.; Amend, J.; Nomikou, P.; Vlasopoulos, O.; Polymenakou, P.; Jørgensen, S. (2023) Structure and metabolic potential of the prokaryotic communities from the hydrothermal system of Paleochori Bay, Milos, Greece. Frontiers in microbiology. Vol 13. article 1060168. https://doi.org/10.3389/fmicb.2022.1060168
  • Bartosz Wybraniec, M.I. Ortego, Elisabet Roca, Joy Goodman-Deane, Nina Nesterova, Developing personas to improve understanding of users’ needs in digital mobility: An experience of the DIGNITY project in the Barcelona Metropolitan Area,
    Transportation Research Procedia, Volume 72 (2023) Pages 1121-1128, ISSN 2352-1465, https://doi.org/10.1016/j.trpro.2023.11.567.
  • Ortego, M.I. (2022). Compositional Data. In Wiley StatsRef: Statistics Reference Online (eds N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J.L. Teugels). https://doi.org/10.1002/9781118445112.stat08348

Under construction:

See the official UPC research web page: futur.upc.edu