Sponsor
Portland State University. Department of Geography
First Advisor
Jiunn-Der Duh
Date of Award
2014
Document Type
Paper
Degree Name
Master of Science (M.S.) in Geography
Department
Geography
Subjects
Geographic information systems, Forest products, Forest products industry, Commerce
DOI
10.15760/geogmaster.08
Abstract
The cost of transporting forest products from harvest site to processing facility is a critical indicator of timber project feasibility. In order to accurately assess these timber haul costs, least-cost travel-time estimates among the site and the facility can be estimated using vector- or raster-based GIS methods. This study explores the applicability of both the raster- and vector-techniques within a variety of landscapes, including forested areas where comprehensive transportation data is limited. A comparison between the travel-time estimates derived from both methods was performed on three study sites using real-world data. The comparison also tested the effect of resolution on the reliability of raster-based calculations. The results indicate that travel-time estimates derived from a small resolution raster grid (
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/14695
Recommended Citation
Loreno, Sara M., "The Cost of Hauling Timber: A Comparison of Raster- and Vector- Based Travel-Time Estimates in GIS" (2014). Geography Masters Research Papers. 7.
https://pdxscholar.library.pdx.edu/geog_masterpapers/7
10.15760/geogmaster.08
Included in
Geographic Information Sciences Commons, Physical and Environmental Geography Commons, Remote Sensing Commons
Comments
A research paper submitted in partial fulfillment of the requirements for the degree of Master of Science in Geography