Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
441
result(s) for
"Sasquatch."
Sort by:
Finding Bigfoot : everything you need to know
Presents information about Bigfoot, covering details about sightings and evidence for the existence of the controversial animal, as well viewpoints of skeptics and scientists on the subject.
Book
Is Bigfoot real?
\"Presents the evidence (or lack therof) and stories of both reported sightings and hoaxes of the large, hairy, man-like creature known as Bigfoot or Sasquatch\"-- Provided by publisher.
Book
No need to replace an \anomalous\ primate
By means of mitochondrial 12S rRNA sequencing of putative \"yeti\", \"bigfoot\", and other \"anomalous primate\" hair samples, a recent study concluded that two samples, presented as from the Himalayas, do not belong to an \"anomalous primate\", but to an unknown, anomalous type of ursid. That is, that they match 12S rRNA sequences of a fossil Polar Bear (Ursus maritimus ), but neither of modern Polar Bears, nor of Brown Bears (Ursus arctos ), the closest relative of Polar Bears, and one that occurs today in the Himalayas. We have undertaken direct comparison of sequences; replication of the original comparative study; inference of phylogenetic relationships of the two samples with respect to those from all extant species of Ursidae (except for the Giant Panda, Ailuropoda melanoleuca ) and two extinct Pleistocene species; and application of a non-tree-based population aggregation approach for species diagnosis and identification. Our results demonstrate that the very short fragment of the 12S rRNA gene sequenced by Sykes et al. is not sufficiently informative to support the hypotheses provided by these authors with respect to the taxonomic identity of the individuals from which these sequences were obtained. We have concluded that there is no reason to believe that the two samples came from anything other than Brown Bears. These analyses afforded an opportunity to test the monophyly of morphologically defined species and to comment on both their phylogenetic relationships and future efforts necessary to advance our understanding of ursid systematics.
Journal Article
Searching for Bigfoot
Presents information about Bigfoot, from anthropological evidence and Native American mythology to primary source documents and renderings and travelers tales, urban legends, and pop culture artifacts.
Book
stelfi: An R package for fitting Hawkes and log‐Gaussian Cox point process models
Modelling spatial and temporal patterns in ecology is imperative to understand the complex processes inherent in ecological phenomena. Log‐Gaussian Cox processes are a popular choice among ecologists to describe the spatiotemporal distribution of point‐referenced data. In addition, point pattern models where events instigate others nearby (i.e., self‐exciting behaviour) are becoming increasingly popular to infer the contagious nature of events (e.g., animal sightings). While there are existing R packages that facilitate fitting spatiotemporal point processes and, separately, self‐exciting models, none incorporate both. We present an R package, stelfi, that fits spatiotemporal self‐exciting and log‐Gaussian Cox process models using Template Model Builder through a range of custom‐written C++ templates. We illustrate the use of stelfi's functions fitting models to Sasquatch (bigfoot) sightings data within the USA. The structure of these data is typical of many seen in ecology studies. We show, from a temporal Hawkes process to a spatiotemporal self‐exciting model, how the models offered by the package enable additional insights into the temporal and spatial progression of point pattern data. We present extensions to these well‐known models that include spatiotemporal self‐excitation and joint likelihood models, which are better suited to capture the complex mechanisms inherent in many ecological data. The package stelfi offers user‐friendly functionality, is open source, and is available from CRAN. It offers the implementation of complex spatiotemporal point process models in R for applications even beyond the field of ecology. We introduce the R package stelfi, available from the Comprehensive R Archive Network. This package allows users to fit temporal self‐exciting Hawkes models, spatial and spatiotemporal log‐Gaussian Cox process models and self‐exciting spatiotemporal models. The functionality of stelfi is illustrated using Sasquatch (bigfoot) sightings data shipped with the package.
Journal Article
Bigfoot!
This book explores the more famous sightings and stories of Bigfoot. It also discusses possible explanations for what people are seeing.
Book
Predicting the distribution of Sasquatch in western North America: anything goes with ecological niche modelling
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.
Journal Article
Supernatural Sociology: Americans’ Beliefs by Race/Ethnicity, Gender, and Education
The authors analyze the 2020–2021 Chapman University Survey of American Fears (n = 1,035), the most recent nationally representative survey to examine fears of and beliefs about supernatural and paranormal phenomena, including ghosts, hauntings, zombies, psychics, telekinesis, Bigfoot or Sasquatch, Atlantis, and extraterrestrial visitation. This research examines how supernatural beliefs vary by race/ethnicity, gender, and education after adjustment for other demographic characteristics and religiosity. There were five gender differences, such that women were more likely than men to believe in or fear all nonmaterial or spiritual supernatural phenomena, as well as Atlantis. People with a bachelor’s degree or higher were less likely to believe in extraterrestrial visitation, hauntings, Bigfoot or Sasquatch, and Atlantis. There were also six beliefs and fears for which racial/ethnic differences emerged. The results highlight how gender, education, and race/ethnicity are strongly related to complex belief systems, including supernatural phenomena.
Journal Article