• Compagno L. et al. 2005. Sharks of the world. – Princeton Univ. Press.
  • GBIF 2010. GBIF data portal. – <>.
  • Gruenwald L. and Zhang J. 2008. Embedding and extending GIS for exploratory analysis of large-scale species distribution data. - In: Proceedings of the 16th ACM SIGSPATIAL conference on advances in geographic information systems. New York, USA, article no. 28.
  • Guisande C. et al. 2010. IPez: an expert system for the taxonomic identification of fishes based on machine learning techniques. Fish. Res. 102: 240247.
  • Hijmans R. et al. 2001. Computer tools for spatial analysis of plant genetic resources data: 1. DIVA-GIS. Plant Genet. Res. Newslett. 27: 1519.
  • Hijmans R. J. et al. 2012. dismo: species distribution modeling. – R package ver. 0.7-23, < dismo>.
  • Phillips S. J. et al. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190: 231259.
  • Rangel T. F. L. V. B. et al. 2010. SAM: a comprehensive application for spatial analysis in macroecology. Ecography 33: 4650.
  • Tyberghein L. et al. 2012. Bio-ORACLE: a global environmental dataset for marine species distribution modelling. Global Ecol. Biogeogr. 21: 272281.
  • VanDerWal J. et al. 2012. SDMTools: tools for processing data associated with species distribution modelling exercises. – R package, ver. 1.1-13, < SDMTools>.