McNOLEG, O. L. E. G. "The integration of GIS, remote sensing, expert systems and adaptive co-kriging for environmental habitat modeling of the highland haggis using object-oriented, fuzzy-logic and neural-network techniques." *Computers & Geosciences* 22.5 (1996): 585-588.
ftp://46.43.34.31/users/kami/humour/haggis_paper.pdf On Wed, Mar 25, 2015 at 11:13 AM, Alex Wolf <[email protected]> wrote: > Another paper that's tongue-in-cheek but has serious science at its core: > > Lozier, J. D., Aniello, P. and Hickerson, M. J. (2009), Predicting the > distribution of Sasquatch in western North America: anything goes with > ecological niche modelling. Journal of Biogeography, 36: 1623-1627. doi: > 10.1111/j.1365-2699.2009.02152.x > > ABSTRACT: The availability of user-friendly software and publicly > available biodiversity databases has led to a rapid increase in the use of > ecological niche modelling to predict species distributions. A potential > source of error in publicly available data that may affect the accuracy of > ecological niche models (ENMs), and one that is difficult to correct for, > is incorrect (or incomplete) taxonomy. Here we remind researchers of the > need for careful evaluation of database records prior to use in modelling, > especially when the presence of cryptic species is suspected or many > records are based on indirect evidence. To draw attention to this potential > problem, we construct ENMs for the North American Sasquatch (i.e. Bigfoot). > Specifically, we use a large database of georeferenced putative sightings > and footprints for Sasquatch in western North America, demonstrating how > convincing environmentally predicted distributions of a taxon's potential > range can be generated from questionable site-occurrence data. We compare > the distribution of Bigfoot with an ENM for the black bear, Ursus > americanus, and suggest that many sightings of this cryptozoid may be cases > of mistaken identity. > > PDF available through Google Scholar. > > Cheers, > Alex > > Alex Wolf > Resource Staff Scientist, Forest Systems Field Station > Missouri Department of Conservation > 2929 Co. Rd. 618 > Ellington, MO 63638 > -- ************************************************************ Kevyn J. Juneau, Ph.D., Certified Associate Ecologist Department of Biological Sciences 1400 Townsend Drive Michigan Technological University Houghton, MI 49931 KJJuneau(at)MTU.edu http://kevynjuneau.weebly.com/
