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Guide

How to cite Vesta

Cite the software and version you used, and the method papers behind the analyses you ran. Reviewers look for both.

01

Citing the software

Include the product name, version, publisher and URL. Your project's version number appears under Help → About.

APA
BioMedware, Inc. (2026). Vesta Online (Version 1.0) [Computer software].
  https://vesta.biomedware.com

Vancouver
BioMedware Inc. Vesta Online [software]. Version 1.0.
  Jerome (MI): BioMedware; 2026. Available from: https://vesta.biomedware.com

BibTeX
@software{vesta_online_2026,
  author  = {{BioMedware, Inc.}},
  title   = {Vesta Online},
  version = {1.0},
  year    = {2026},
  url     = {https://vesta.biomedware.com}
}
02

A methods paragraph you can adapt

Edit the bracketed values to match your analysis. The Advisor can draft this from your project.

Example · KrigingSpatial analyses were performed in Vesta Online (version [3.18]; BioMedware, Inc., Jerome, MI). [Variable] was interpolated by [ordinary] kriging using a [spherical] variogram model (nugget [0.08], sill [0.92], range [21 km]) fitted to [n] samples; model performance was assessed by leave-one-out cross-validation.
03

Citing the methods

Cite the method as well as the software. These papers describe methods implemented in Vesta.

  • Poisson kriging Goovaerts, P. (2005). Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging. International Journal of Health Geographics 4.
  • Space-time joinpoint Goovaerts, P. (2013). Analysis of geographical disparities in temporal trends of health outcomes using space-time joinpoint regression. Int. J. Applied Earth Observation and Geoinformation 22.
  • Local Moran's I with neutral models Goovaerts, P. and Jacquez, G.M. (2005). Detection of temporal changes in the spatial distribution of cancer rates using local Moran's I and geostatistically simulated spatial neutral models. Journal of Geographical Systems 7.
  • Q-statistics Jacquez, G.M. et al. (2005). Global, local and focused geographic clustering for case-control data with residential histories. Environmental Health 4.

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