Browse Units


Contact Information

Southern
Research Station

200 W.T. Weaver Blvd.
Asheville, NC
28804-3454
(828) 257-4832
(828) 259-0503 TTY

Publication Information

Bookmark and Share Mail this page   Evaluate this publication  

Title: A Comparison of Vector and Raster GIS Methods for Calculating Landscape Metrics Used in Environmental Assessments
Author(s): Wade, Timothy G.; Wickham, James D.; Nash, Maliha S.; Neale, Anne C.; Riitters, Kurt H.; Jones, K. Bruce
Date: 2003
Source: Photogrammetric Engineering & Remote Sensing. Vol. 69, No. 12, December 2003, pp. 1399–1405.
Description: Abstract
GIS-based measurements that combine native raster and native vector data are commonly used in environmental assessments. Most of these measurements can be calculated using either raster or vector data formats and processing methods. Raster processes are more commonly used because they can be significantly faster computationally than vector, but error is introduced in converting vector data to raster. This conversion error has been widely studied and quantified, but the impact on environmental assessment results has not been investigated. We examined four GIS-based measurements commonly used in environmental assessments for approximately 1000 watersheds in the state of Maryland and Washington, D.C. Each metric was calculated using vector and raster methods, and estimated values were compared using a paired t-test, Spearman rank correlation, and cluster analyses. Paired t-tests were used to determine the statistical significance of quantitative differences between methods, and Spearman rank correlation and cluster analyses were used to evaluate the impact of the differences on environmental assessments. Paired t-test results indicated significant quantitative differences between methods for three of the four metrics. However, Spearman ranks and cluster analyses indicated that the quantitative differences would not affect environmental assessment results. Spearman rank correlations between vector and raster values were greater than 0.98 for all comparisons. Cluster analyses resulted in identical assignment for 88 percent to over 98 percent of watersheds analyzed among vector and various raster methods.
View and Print this Publication (312 KB)
Publication Notes: We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain. Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS Webmaster, srswebmaster@fs.fed.us if you notice any errors which make this publication unuseable.
 [ Get Acrobat ] Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility