Date of Award
Summer 8-21-2010
Document Type
Masters Capstone Project
Degree Name
M.S. in Geographic Information Science
Organizational Unit
College of Natural Science and Mathematics, Geography and the Environment
Copyright Statement / License for Reuse
All Rights Reserved.
Keywords
Animal control and wildlife management, Wild pigs, Geographic information system model
Abstract
The applicable Natural Resource area of this project is animal control and wildlife management, as wild pigs can be quite destructive to landscapes (Campbell, et al., 2010) (McCann, et al., 2008). Geographic Information System (GIS) predictive models have proven to be useful in regards to other mammals (Travaini, et al., 2007), raptors (Bustamante, et al., 2004), and pest species such as locusts (van der Werf, et al., 2005). Pigs are often nocturnal and bed down in heavy cover, hindering direct observation. Additionally, Vandenberg Air Force Base (VAFB) encompasses over 400 square kilometers. Therefore, predictive modeling is an appropriate method for identifying areas likely to be inhabited by pigs, and when combined with a ranked collection of valued property, the model should prove to be a valuable resource for planning and allocating animal control measures.
Copyright Date
7-31-2010
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Brian Schnick
Provenance
Received from author
File Format
application/pdf
Language
English (eng)
Extent
27 pgs
File Size
1 MB
Recommended Citation
Schnick, Brian, "A GIS Model to Predict Feral Pig (Sus scrofa) Habitat on Vandenberg Air Force Base, California" (2010). Geography and the Environment: Graduate Student Capstones. 10.
https://digitalcommons.du.edu/geog_ms_capstone/10