Landscape-based geostatistics: A case study of the distribution of blue crab in Chesapeake Bay

Olaf P. Jensen, Mary C. Christman, Thomas J. Miller

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Geostatistical techniques have gained widespread use in ecology and environmental science. Variograms are commonly used to describe and examine spatial autocorrelation, and kriging has become the method of choice for interpolating spatially-autocorrelated variables. To date, most applications of geostatistics have defined the separation between sample points using simple Euclidean distance. In heterogeneous environments, however, certain landscape features may act as absolute or semi-permeable barriers. This effective separation may be more accurately described by a measure of distance that accounts for the presence of barriers. Here we present an approach to geostatistics based on a lowest-cost path (LCP) function, in which the cost of a path is a function of both the distance and the type of terrain crossed. The modified technique is applied to 13 years of survey data on blue crab abundance in Chesapeake Bay. Use of this landscape-based distance metric significantly changed estimates of all three variogram parameters. In this case study, although local differences in kriging predictions were apparent, the use of the landscape-based distance metric did not result in consistent improvements in kriging accuracy.

Original languageEnglish (US)
Pages (from-to)605-621
Number of pages17
JournalEnvironmetrics
Volume17
Issue number6
DOIs
StatePublished - Sep 1 2006

Fingerprint

Geostatistics
Kriging
geostatistics
kriging
crab
Variogram
Distance Metric
variogram
Ecology
Autocorrelation
Spatial Autocorrelation
Costs
Path
Heterogeneous Environment
Sample point
Survey Data
Euclidean Distance
cost
autocorrelation
ecology

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Ecological Modeling

Keywords

  • Barriers
  • Blue crab
  • Chesapeake Bay
  • Distance metric
  • Kriging
  • Variogram

Cite this

Jensen, Olaf P. ; Christman, Mary C. ; Miller, Thomas J. / Landscape-based geostatistics : A case study of the distribution of blue crab in Chesapeake Bay. In: Environmetrics. 2006 ; Vol. 17, No. 6. pp. 605-621.
@article{e506f90cea3642bca2c431121affc5dc,
title = "Landscape-based geostatistics: A case study of the distribution of blue crab in Chesapeake Bay",
abstract = "Geostatistical techniques have gained widespread use in ecology and environmental science. Variograms are commonly used to describe and examine spatial autocorrelation, and kriging has become the method of choice for interpolating spatially-autocorrelated variables. To date, most applications of geostatistics have defined the separation between sample points using simple Euclidean distance. In heterogeneous environments, however, certain landscape features may act as absolute or semi-permeable barriers. This effective separation may be more accurately described by a measure of distance that accounts for the presence of barriers. Here we present an approach to geostatistics based on a lowest-cost path (LCP) function, in which the cost of a path is a function of both the distance and the type of terrain crossed. The modified technique is applied to 13 years of survey data on blue crab abundance in Chesapeake Bay. Use of this landscape-based distance metric significantly changed estimates of all three variogram parameters. In this case study, although local differences in kriging predictions were apparent, the use of the landscape-based distance metric did not result in consistent improvements in kriging accuracy.",
keywords = "Barriers, Blue crab, Chesapeake Bay, Distance metric, Kriging, Variogram",
author = "Jensen, {Olaf P.} and Christman, {Mary C.} and Miller, {Thomas J.}",
year = "2006",
month = "9",
day = "1",
doi = "10.1002/env.767",
language = "English (US)",
volume = "17",
pages = "605--621",
journal = "Environmetrics",
issn = "1180-4009",
publisher = "John Wiley and Sons Ltd",
number = "6",

}

Landscape-based geostatistics : A case study of the distribution of blue crab in Chesapeake Bay. / Jensen, Olaf P.; Christman, Mary C.; Miller, Thomas J.

In: Environmetrics, Vol. 17, No. 6, 01.09.2006, p. 605-621.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Landscape-based geostatistics

T2 - A case study of the distribution of blue crab in Chesapeake Bay

AU - Jensen, Olaf P.

AU - Christman, Mary C.

AU - Miller, Thomas J.

PY - 2006/9/1

Y1 - 2006/9/1

N2 - Geostatistical techniques have gained widespread use in ecology and environmental science. Variograms are commonly used to describe and examine spatial autocorrelation, and kriging has become the method of choice for interpolating spatially-autocorrelated variables. To date, most applications of geostatistics have defined the separation between sample points using simple Euclidean distance. In heterogeneous environments, however, certain landscape features may act as absolute or semi-permeable barriers. This effective separation may be more accurately described by a measure of distance that accounts for the presence of barriers. Here we present an approach to geostatistics based on a lowest-cost path (LCP) function, in which the cost of a path is a function of both the distance and the type of terrain crossed. The modified technique is applied to 13 years of survey data on blue crab abundance in Chesapeake Bay. Use of this landscape-based distance metric significantly changed estimates of all three variogram parameters. In this case study, although local differences in kriging predictions were apparent, the use of the landscape-based distance metric did not result in consistent improvements in kriging accuracy.

AB - Geostatistical techniques have gained widespread use in ecology and environmental science. Variograms are commonly used to describe and examine spatial autocorrelation, and kriging has become the method of choice for interpolating spatially-autocorrelated variables. To date, most applications of geostatistics have defined the separation between sample points using simple Euclidean distance. In heterogeneous environments, however, certain landscape features may act as absolute or semi-permeable barriers. This effective separation may be more accurately described by a measure of distance that accounts for the presence of barriers. Here we present an approach to geostatistics based on a lowest-cost path (LCP) function, in which the cost of a path is a function of both the distance and the type of terrain crossed. The modified technique is applied to 13 years of survey data on blue crab abundance in Chesapeake Bay. Use of this landscape-based distance metric significantly changed estimates of all three variogram parameters. In this case study, although local differences in kriging predictions were apparent, the use of the landscape-based distance metric did not result in consistent improvements in kriging accuracy.

KW - Barriers

KW - Blue crab

KW - Chesapeake Bay

KW - Distance metric

KW - Kriging

KW - Variogram

UR - http://www.scopus.com/inward/record.url?scp=33748618718&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33748618718&partnerID=8YFLogxK

U2 - 10.1002/env.767

DO - 10.1002/env.767

M3 - Article

AN - SCOPUS:33748618718

VL - 17

SP - 605

EP - 621

JO - Environmetrics

JF - Environmetrics

SN - 1180-4009

IS - 6

ER -