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Location
Hot Springs, AR
Start Date
6-4-2003 12:00 AM
Description
An expanding human population combined with a growing white-tailed deer (Odocoifeus virginianus) population has resulted in an increase of deer-vehicle collisions in Arkansas. In response to this increase, we are using spatially explicit datasets integrated within a geographic information system (GIS) to identify county-level and site-specific factors contributing to deer-vehicle collisions. County-level information, such as human population densities /urbanization, deer density indices, and road densities, is being evaluated for use in identifying potential aggregations of deer-vehicle collisions. Site-specific information being evaluated includes physical factors such as landcover composition and arrangement, topography, and road characteristics. By incorporating these multi-scale data sets in a GIS, spatial intersections of variables indicating potential current or future "hotspots" of deer-vehicle collisions can be identified and mapped. This information can then be used to aid administrators and natural resource managers in identifying locations where deer-vehicle collisions may be concentrated.
Recommended Citation
Farrell, M. C., Enderle, D. I. M., & Tappe, P. A. (2003). Using a geographical information system to evaluate contributing factors to deer-vehicle collisions. In Fagerstone, K.A. & Witmer, G.W. (Eds.), The Tenth Wildlife Damage Management Conference (427). Hot Springs, AR: National Wildlife Research Center.
Included in
Using a Geographical Information System to Evaluate Contributing Factors to Deer-Vehicle Collisions
Hot Springs, AR
An expanding human population combined with a growing white-tailed deer (Odocoifeus virginianus) population has resulted in an increase of deer-vehicle collisions in Arkansas. In response to this increase, we are using spatially explicit datasets integrated within a geographic information system (GIS) to identify county-level and site-specific factors contributing to deer-vehicle collisions. County-level information, such as human population densities /urbanization, deer density indices, and road densities, is being evaluated for use in identifying potential aggregations of deer-vehicle collisions. Site-specific information being evaluated includes physical factors such as landcover composition and arrangement, topography, and road characteristics. By incorporating these multi-scale data sets in a GIS, spatial intersections of variables indicating potential current or future "hotspots" of deer-vehicle collisions can be identified and mapped. This information can then be used to aid administrators and natural resource managers in identifying locations where deer-vehicle collisions may be concentrated.