Skip to Main Content
Use of space-filling curves to select sample locations in natural resource monitoring studiesAuthor(s): Andrew Lister; Charles T. Scott
Source: Environmental Monitoring and Assessment. 149: 71-80.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
Download Publication (326.93 KB)
DescriptionThe establishment of several large area monitoring networks over the past few decades has led to increased research into ways to spatially balance sample locations across the landscape. Many of these methods are well documented and have been used in the past with great success. In this paper, we present a method using geographic information systems (GIS) and fractals to create a sampling frame, superimpose a tessellation and draw a sample. We present a case study that illustrates the technique and compares results to those from other methods using data from Voyageurs National Park in Minnesota. Our method compares favorably with results from a popular plot selection method, Generalized Random Tessellation Stratified Design, and offers several additional advantages, including ease of implementation, intuitive appeal, and the ability to maintain spatial balance by adding new plots in the event of an inaccessible plot encountered in the field.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- 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.
CitationLister, Andrew; Scott, Charles T. 2009. Use of space-filling curves to select sample locations in natural resource monitoring studies. Environmental Monitoring and Assessment. 149: 71-80.
KeywordsGIS, monitoring, sample grid, sample selection, sampling frame, space-filling curve
- Matching methods to quantify wildfire effects on forest carbon mass in the U.S. Pacific Northwest
- How do we know how many salmon returned to spawn? Implementing the California Coastal salmonid monitoring plan in Mendocino County, California
- Comparison of three methods for quantifying coarse surface fuel loading
XML: View XML