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Predicting water quality impaired stream segments using landscape-scale data and a regional geostatistical model : A case study in Maryland

Environmental monitoring and assessment, 2006-10, Vol.121 (1-3), p.615-638

2006

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Using GIS to Generate Spatially Balanced Random Survey Designs for Natural Resource Applications

Environmental management (New York), 2007-07, Vol.40 (1), p.134-146

2007

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The structure of variation and its influence on the estimation of status: Indicators of condition of lakes in the Northeast, U.S.A

Environmental monitoring and assessment, 2004-11, Vol.98 (1-3), p.1-21

2004

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The effects of macroinvertebrate taxonomic resolution in large landscape bioassessments: an example from the Mid-Atlantic Highlands, U.S.A

Freshwater biology, 2004-04, Vol.49 (4), p.474-489

2004

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Patterns of Spatial Autocorrelation in Stream Water Chemistry

Environmental monitoring and assessment, 2006-10, Vol.121 (1-3), p.569-594

2006

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Designs for Evaluating Local and Regional Scale Trends

Bioscience, 2001-12, Vol.51 (12), p.1069-1078

2001

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Have U.S. surface waters responded to the 1990 clean air act amendments?

Environmental science & technology, 2004-12, Vol.38 (24), p.484A-490A

2004

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Designing a spatially balanced, randomized site selection process for regional stream surveys : The Emap mid-Atlantic pilot study

Environmental monitoring and assessment, 2000-07, Vol.63 (1), p.95-113

2000

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Estimating trophic state proportions of a regional lake population : Are larger samples always better?

Environmental monitoring and assessment, 2000-05, Vol.62 (1), p.71-89

2000

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Regional Lake Trophic Patterns in the Northeastern United States: Three Approaches

Environmental management (New York), 1998-09, Vol.22 (5), p.789-801

1998

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mixed model with both fixed and random trend components across time

Journal of agricultural, biological, and environmental statistics, 1996-12, Vol.1 (4), p.435-453

1996

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Monitoring for Policy-Relevant Regional Trends over Time

Ecological applications, 1998-05, Vol.8 (2), p.246-257

1998

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Segmenting Service Courses

The American statistician, 1975-02, Vol.29 (1), p.47-50

Urquhart, N. Scott

1975

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Designs for Detecting Trend from Repeated Surveys of Ecological Resources

Journal of agricultural, biological, and environmental statistics, 1999-12, Vol.4 (4), p.404-414

1999

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Obtaining species: sample size considerations

Environmental and ecological statistics, 1996-12, Vol.3 (4), p.329-347

1996

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Estimating Holstein Lactation Curves with a Gamma Curve

Journal of dairy science, 1977-08, Vol.60 (8), p.1308-1315

1977

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Sample Representativeness: A Must for Reliable Regional Lake Condition Estimates

Environmental science & technology, 1999-05, Vol.33 (10), p.1559-1565

1999

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Comparison of Survey Estimates of the Finite Population Variance

Journal of agricultural, biological, and environmental statistics, 2004-06, Vol.9 (2), p.236-251

2004

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ample representativeness: A must for reliable regional lake condition estimates

Environmental science & technology, 1999-05, Vol.33 (10), p.1559

1999

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Peer Reviewed: Have U.S. Surface Waters Responded to the 1990 Clean Air Act Amendments?

Environmental science & technology, 2004-12, Vol.38 (24), p.484A-490A

2004

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Response designs and support regions in sampling continuous domains

Environmetrics (London, Ont.), 2000-01, Vol.11 (1), p.13-41

2000

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MONITORING FOR POLICY‐RELEVANT REGIONALTRENDS OVER TIME

Ecological applications, 1998-05, Vol.8 (2), p.246-257

1998

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Designs for Evaluating Local and Regional Scale Trends: We describe a framework for evaluating the effects of spatial and temporal variation on the sensitivity of alternative ecological survey designs to detect regional temporal trends

Bioscience, 2001-12, Vol.51 (12), p.1069-1078

2001

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The Temporally Integrated Monitoring of Ecosystems (TIME) Project Design: 2. Detection of Regional Acidification Trends

Water resources research, 1996-08, Vol.32 (8), p.2529-2538

1996

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Evaluation of US EPA environmental monitoring and assessment Program's (EMAP)-wetlands sampling design and classification

Environmental management (New York), 1995, Vol.19 (1), p.99-113

1995

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Predicting water quality impaired stream segments using landscape-scale data and a regional geostatistical model : A case study in Maryland

Using GIS to Generate Spatially Balanced Random Survey Designs for Natural Resource Applications

The structure of variation and its influence on the estimation of status: Indicators of condition of lakes in the Northeast, U.S.A

The effects of macroinvertebrate taxonomic resolution in large landscape bioassessments: an example from the Mid-Atlantic Highlands, U.S.A

Patterns of Spatial Autocorrelation in Stream Water Chemistry

Designs for Evaluating Local and Regional Scale Trends

Have U.S. surface waters responded to the 1990 clean air act amendments?

Designing a spatially balanced, randomized site selection process for regional stream surveys : The Emap mid-Atlantic pilot study

Estimating trophic state proportions of a regional lake population : Are larger samples always better?

Regional Lake Trophic Patterns in the Northeastern United States: Three Approaches

mixed model with both fixed and random trend components across time

Monitoring for Policy-Relevant Regional Trends over Time

Segmenting Service Courses

Designs for Detecting Trend from Repeated Surveys of Ecological Resources

Obtaining species: sample size considerations

Estimating Holstein Lactation Curves with a Gamma Curve

Sample Representativeness: A Must for Reliable Regional Lake Condition Estimates

Comparison of Survey Estimates of the Finite Population Variance

ample representativeness: A must for reliable regional lake condition estimates

Peer Reviewed: Have U.S. Surface Waters Responded to the 1990 Clean Air Act Amendments?

Response designs and support regions in sampling continuous domains

MONITORING FOR POLICY‐RELEVANT REGIONALTRENDS OVER TIME

Designs for Evaluating Local and Regional Scale Trends: We describe a framework for evaluating the effects of spatial and temporal variation on the sensitivity of alternative ecological survey designs to detect regional temporal trends

The Temporally Integrated Monitoring of Ecosystems (TIME) Project Design: 2. Detection of Regional Acidification Trends

Evaluation of US EPA environmental monitoring and assessment Program's (EMAP)-wetlands sampling design and classification

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