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Many analyses within the field of GIS apply stochastic methods and systems, such as Monte Carlo techniques, dynamic modelling, stochastic simulation, artificial life and simulated data development. A pseudorandom number generator (PRNG) is employed within all these analyses, which can affect the validity of any results, yet GIS articles rarely report on the PRNG being used or on its settings. Not only does this make the research irreproducible, it also indicates that GIS researchers rarely, if ever, check the PRNG being employed for suitability for their analysis or simulation. Exacerbating the problem is that many geospatial and Monte Carlo software are not explicit about the PRNG used. Critical aspects of PRNGs from a geospatial standpoint need to be explored, especially before they are routinely used in the wider spatial analysis community.