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Sparse sampling: Spatial design for monitoring stream networks
10 references·2 citing·43 second hop
Sparse sampling: Spatial design for monitoring stream networks (2008)Sparse sampling: Spatial design for monit…Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction (2006)Optimal network design for sp…Bayesian Geostatistical Design (2005)Bayesian Geostatistical DesignSpatial sampling design for parameter estimation of the covariance function (2004)Spatial sampling design for p…An introduction to prior information derived from probabilistic judgements: elicitation of knowledge, cognitive bias and herding (2004)An introduction to prior info…An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons (2002)An overview of spatial sampli…Optimal designs for variogram estimation (1999)Optimal designs for variogram…An algorithm for the construction of spatial coverage designs with implementation in SPLUS (1998)An algorithm for the construc…Statistics for Spatial Data (1993)Statistics for Spatial DataCartographic and Geometric Components of a Global Sampling Design for Environmental Monitoring (1992)Cartographic and Geometric Co…Optimal monitoring network designs (1984)Optimal monitoring network de…Sequential information gathering schemes for spatial risk and decision analysis applications (2017)Sequential information gather…Spatial sampling design and covariance-robust minimax prediction based on convex design ideas (2009)Spatial sampling design and c…On a Measure of the Information Provided by an Experiment (1956)Expected Information as Expected Utility (1979)Spatial sampling design for prediction with estimated parameters (2006)Optimal experimental design (2010)Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model (2016)The Structure of Scientific Revolutions (1963)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Addressing Conflicting Cognitive Models in Collaborative E-Research (2012)Disposition effect and herding behavior in the cryptocurrency market (2019)Herding in the bad times: The 2008 and COVID-19 crises (2021)Minimax and maximin distance designs (1990)Model-Based Geostatistics (1998)Geostatistics (1999)Effective Geographic Sample Size in the Presence of Spatial Autocorrelation (2005)Improving the performance of predictive process modeling for large datasets (2008)Estimation and Prediction in Spatial Models With Block Composite Likelihoods (2013)Computer Aided Design of Experiments (1969)Theory of optimal experiments (1972)7 An Empirical Approach to Estimating GIS Benefits (2000)Fast Flexible Space-Filling Designs for Nonrectangular Regions (2014)spBayesfor Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models (2015)Theory of Optimal Experiments. (1972)Design and Analysis of Computer Experiments (1989)Approximately optimal spatial design approaches for environmental health data (2005)Bayesian entropy for spatial sampling design of environmental data (2007)STATISTICS FOR SPATIAL DATA (1992)Collecting Spatial Data: Optimum Design of Experiments for Random Fields (1998)Statistical Methods in Agriculture and Experimental Biology (2018)Bayesian Experimental Design: A Review (1995)Interpolation of Spatial Data (1999)Interpolation of Spatial Data: Some Theory for Kriging (2000)Equidistant and D-optimal designs for parameters of Ornstein–Uhlenbeck process (2007)A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data (2012)Optimum Design of Experiments for Statistical Inference (2012)The importance of accounting for spatial and temporal correlation in analyses of ecological data (2009)Adaptive Design of Experiments Based on Gaussian Processes (2015)THREE PRESENTATIONS ON GEOGRAPHICAL ANALYSIS AND MODELING (1993)A multi-scale approach to exploring urban places in geotagged photographs (2014)A Survey of Digital Earth (2015)Multivariable geostatistics in S: the gstat package (2004)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)
this work references cited by second hop

References

  • 1993Statistics for Spatial Data6,517 cited
  • 1992Cartographic and Geometric Components of a Global Sampling Design for Environmental Monitoring331 cited
  • 2005Bayesian Geostatistical Design225 cited
  • 1984Optimal monitoring network designs212 cited
  • 2006Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction172 cited
  • 2002An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons132 cited
  • 1998An algorithm for the construction of spatial coverage designs with implementation in SPLUS115 cited
  • 2004Spatial sampling design for parameter estimation of the covariance function97 cited
  • 1999Optimal designs for variogram estimation96 cited
  • 2004An introduction to prior information derived from probabilistic judgements: elicitation of knowledge, cognitive bias and herding95 cited

Cited by

  • 2009Spatial sampling design and covariance-robust minimax prediction based on convex design ideas47 cited
  • 2017Sequential information gathering schemes for spatial risk and decision analysis applications12 cited

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