References
Aarts, E. H. L., and J. H. M. Korst. 1989. Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing. Chichester: John Wiley & Sons.
Adcock, C. J. 1988. “A Bayesian approach to calculating sample sizes.” Statistician 37: 433–39.
Akramkhanov, A., D. J. Brus, and D. J. J. Walvoort. 2014. “Geostatistical monitoring of soil salinity in Uzbekistan by repeated EMI surveys.” Geoderma 213: 600–607.
Anonymous. 2014. “Afghanistan Opium Survey 2014.” United Nations Office on Drugs and Crime, Islamic Republic of Afghanistan, Ministry of Counter Narcotics.
Arthur, D., and S. Vassilvitskii. 2007. “k-means++: The advantages of careful seeding.” Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms 07-09-January-2007: 1027–35.
Baccini, A., S. J. Goetz, W. S. Walker, N. T. Laporte, M. Sun, D. Sulla-Menashe, J. Hackler, et al. 2012. “Estimated Carbon Dioxide Emissions from Tropical Deforestation Improved by Carbon-Density Maps.” Nature Climate Change 2 (3): 182–85. https://doi.org/10.1038/nclimate1354.
Bache, Stefan Milton, and Hadley Wickham. 2020. magrittr: A Forward-Pipe Operator for R. https://CRAN.R-project.org/package=magrittr.
Baillargeon, S., and L.-P. Rivest. 2011. “The construction of stratified designs in R with the package stratification.” Survey Methodology 37 (1): 53–65.
Ballabio, C., E. Lugato, O. Fernández-Ugalde, A. Orgiazzi, A. Jones, P. Borrelli, L. Montanarella, and P. Panagos. 2019. “Mapping LUCAS topsoil chemical properties at European scale using Gaussian process regression.” Geoderma 355: 113912. https://doi.org/10.1016/j.geoderma.2019.113912.
Ballin, M., G. Barcaroli, M. Masselli, and M. Scarnó. 2018. “Redesign sample for Land Use/Cover Area frame Survey (LUCAS) 2018.” Eurostat.
Barcaroli, G., M. Ballin, H. Odendaal, D. Pagliuca, E. Willighagen, and D. Zardetto. 2020. SamplingStrata: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys. {https://cran.r-project.org/package=SamplingStrata}.
Barcaroli, Giulio. 2014. “SamplingStrata: An R Package for the Optimization of Stratified Sampling.” Journal of Statistical Software 61 (4): 1–24. https://doi.org/10.18637/jss.v061.i04.
Barnes, R. J. 1988. “Bounding the Required Sample Size for Geologic Site Characterization.” Mathematical Geology 20: 477–90.
Berger, Y. G. 2004. “A Simple Variance Estimator for Unequal Probability Sampling Without Replacement.” Canadian Journal of Applied Statistics 31 (3): 305–15. https://doi.org/10.1080/0266476042000184046.
Bethel, J. 1989. “Sample allocation in multivariate surveys.” Survey Methodology 15 (1): 47–57.
Binder, D. A., and M. A. Hidiroglou. 1988. “Sampling in Time.” In Handbook of Statistics, edited by P. R. Krishnaiah and C. R. Rao, 6:187–211. Amsterdam: North-Holland.
Bivand, Roger S., Edzer Pebesma, and Virgilio Gómez-Rubio. 2013. Applied Spatial Data Analysis with R. Second. New York: Springer. https://asdar-book.org/.
Bogaert, P., and D. Russo. 1999. “Optimal Spatial Sampling Design for the Estimation of the Variogram Based on a Least Squares Approach.” Water Resources Research 35 (4): 1275–89.
Breidaks, Juris, Martins Liberts, and Janis Jukams. 2020. surveyplanning: Survey Planning Tools. https://csblatvia.github.io/surveyplanning/.
Breidenbach, J., and R. Astrup. 2012. “Small area estimation of forest attributes in the Norwegian National Forest Inventory.” European Journal of Forest Research 131: 1255–67.
Breidenbach, Johannes. 2018. JoSAE: Unit-Level and Area-Level Small Area Estimation. https://CRAN.R-project.org/package=JoSAE.
Breidt, F. J., and W. A. Fuller. 1999. “Design of Supplemented Panel Surveys with Application to the National Resources Inventory.” Journal of Agricultural, Biological, and Environmental Statistics 4 (4): 391–403.
Breidt, F. J., and J. D. Opsomer. 2017. “Model-Assisted Survey Estimation with Modern Prediction Techniques.” Statistical Science 32 (2): 190–205. https://doi.org/10.1214/16-STS589.
Brown, L. D., T. T. Cai, and A. DasGupta. 2001. “Interval estimation for a binomial proportion - Comment - Rejoinder.” Statistical Science 16 (2): 101–33.
Brus, D. J. 2019. “Sampling for digital soil mapping: A tutorial supported by R scripts.” Geoderma 338: 464–80. https://doi.org/https://doi.org/10.1016/j.geoderma.2018.07.036?
———. 2021. “Statistical approaches for spatial sample survey: Persistent misconceptions and new developments.” European Journal of Soil Science 72 (2): 686–703. https://doi.org/10.1111/ejss.12988.
Brus, D. J., and J. J. de Gruijter. 1994. “Estimation of Non-Ergodic Variograms and Their Sampling Variance by Design-Based Sampling Strategies.” Mathematical Geology 26: 437–54.
———. 1997. “Random Sampling or Geostatistical Modelling? Choosing Between Design-Based and Model-Based Sampling Strategies for Soil (with Discussion).” Geoderma 80 (1–2): 1–59.
———. 2003. “A Method to Combine Non-Probability Sample Data with Probability Sample Data in Estimating Spatial Means of Environmental Variables.” Environmental Monitoring and Assessment 83 (3): 303–17.
———. 2011. “Design-Based Generalized Least Squares Estimation of Status and Trend of Soil Properties from Monitoring Data.” Geoderma 164 (3–4): 172–80. https://doi.org/10.1016/j.geoderma.2011.06.001.
———. 2013. “Effects of Spatial Pattern Persistence on the Performance of Sampling Designs for Regional Trend Monitoring Analyzed by Simulation of Space-Time Fields.” Computers & Geosciences 61: 175–83.
Brus, D. J., J. J. de Gruijter, and J. W. van Groenigen. 2007. “Designing Spatial Coverage Samples Using the k-means Clustering Algorithm.” In Digital Soil Mapping. An Introductory Perspective, edited by P. Lagacherie, A. B. McBratney, and M. Voltz, 183–92. Elsevier.
Brus, D. J., and G. B. M. Heuvelink. 2007. “Optimization of Sample Patterns for Universal Kriging of Environmental Variables.” Geoderma 138 (1–2): 86–95.
Brus, D. J., B. Kempen, and G. B. M. Heuvelink. 2011. “Sampling for Validation of Digital Soil Maps.” European Journal of Soil Science 62 (3): 394–407. https://doi.org/10.1111/j.1365-2389.2011.01364.x.
Brus, D. J., and M. Knotters. 2008. “Sampling design for compliance monitoring of surface water quality: A case study in a Polder area.” Water Resources Research 44: W11410. https://doi.org/10.1029/2007WR006123.
Brus, D. J., and N. P. A. Saby. 2016. “Approximating the variance of estimated means for systematic random sampling, illustrated with data of the French Soil Monitoring Network.” Geoderma 279: 77–86. https://doi.org/http://dx.doi.org/10.1016/j.geoderma.2016.05.016.
Brus, D. J., P. A. Slim, A. H. Heidema, and H. F. van Dobben. 2014. “Trend Monitoring of the Areal Extent of Habitats in a Subsiding Coastal Area by Spatial Probability Sampling.” Ecological Indicators 45: 313–19.
Brus, D. J., L. E. E. M. Spätjens, and J. J. de Gruijter. 1999. “A Sampling Scheme for Estimating the Mean Extractable Phosphorus Concentration of Fields for Environmental Regulation.” Geoderma 89 (1–2): 129–48.
Cassel, C. M., C. E. Särndal, and J. H. Wretman. 1977. Foundations of Inference in Survey Sampling. New York: Wiley.
Champely, Stephane. 2020. pwr: Basic Functions for Power Analysis. https://CRAN.R-project.org/package=pwr.
Chaudhuri, A. 1994. “Small Domain Statistics: A Review.” Statistica Neerlandica 48 (3): 215–36.
Christensen, R. 1991. Linear Models for Multivariate, Time Series, and Spatial Data. New York: Springer.
Clifford, P., S. Richardson, and D. Hémon. 1989. “Assessing the Significance of the Correlation Between Two Spatial Processes.” Biometrics 45: 123–34.
Cochran, W. G. 1977. Sampling Techniques. New York: Wiley.
Corwin, D. L., and S. M. Lesch. 2005. “Characterizing Soil Spatial Variability with Apparent Soil Electrical Conductivity: Part II. Case study.” Computers and Electronics in Agriculture 46 (1–3): 135–52.
Corwin, D. L., S. M. Lesch, E. Segal, T. H. Skaggs, and S. A. Bradford. 2010. “Comparison of Sampling Strategies for Characterizing Spatial Variability with Apparent Soil Electrical Conductivity Directed Soil Sampling.” Journal of Environmental and Engineering Geophysics 15 (3): 147–62. https://doi.org/10.2113/JEEG15.3.147.
Csárdi, Gábor, Jim Hester, Hadley Wickham, Winston Chang, Martin Morgan, and Dan Tenenbaum. 2021. Remotes: R Package Installation from Remote Repositories, Including ’GitHub’. https://CRAN.R-project.org/package=remotes.
Cullman, A. D. 2021. maSAE: Mandallaz’ Model-Assisted Small Area Estimators. https://CRAN.R-project.org/package=maSAE.
Dalenius, T., and J. L. Hodges. 1959. “Minimum Variance Stratification.” Journal of the American Statistical Association 54 (285): 88–101. https://doi.org/10.2307/2282141.
de Gruijter, J. J., D. J. Brus, M. F. P. Bierkens, and M. Knotters. 2006. Sampling for Natural Resource Monitoring. Berlin: Springer.
de Gruijter, J. J., B. Minasny, and A. B. McBratney. 2015. “Optimizing Stratification and Allocation for Design-Based Estimation of Spatial Means Using Predictions with Error.” Journal of Survey Statistics and Methodology 3 (1): 19–42.
de Gruijter, J. J., and C. J. F. ter Braak. 1990. “Model-Free Estimation from Spatial Samples: A Reappraisal of Classical Sampling Theory.” Mathematical Geology 22 (4): 407–15.
———. 1992. “Design-Based Versus Model-Based Sampling Strategies: Comment on R.J. Barnes’ ‘Bounding the Required Sample Size for Geologic Site Characterization’.” Mathematical Geology 24 (7): 859–64.
De Vries, P. G. 1986. Sampling Theory for Forest Inventory: A Teach-Yourself Course. New York: Springer-Verlag.
Deville, J. C., and Y. Tillé. 1998. “Unequal Probability Sampling Without Replacement Through a Splitting Method.” Biometrika 85 (1): 89–101. https://doi.org/10.1093/biomet/85.1.89.
———. 2004. “Efficient Balanced Sampling: The Cube Method.” Biometrika 91 (4): 893–912.
———. 2005. “Variance Approximation Under Balanced Sampling.” Journal of Statistical Planning and Inference 128 (2): 569–91.
Domburg, P., J. J. de Gruijter, and D. J. Brus. 1994. “A Structured Approach to Designing Soil Survey Schemes with Prediction of Sampling Error from Variograms.” Geoderma 62: 151–64.
Dumelle, M., T. M. Kincaid, A. R. Olsen, and M. H. Weber. 2021. spsurvey: Spatial Sampling Design and Analysis.
Escobar, E. L., E. B. Zamudio, and J. F. Munoz Rosas. 2019. samplingVarEst: Sampling Variance Estimation.
Falorsi, P. D., and P. Righi. 2008. “A Balanced Sampling Approach for Multi-Way Stratification Designs for Small Area Estimation.” Survey Methodology 34 (2): 223–34.
Fitzgerald, G. J. 2010. “Response Surface Sampling of Remotely Sensed Imagery for Precision Agriculture.” In Proximal Soil Sensing, edited by R. A. Viscarra Rossel, A. B. McBratney, and B. Minasny, 121–29. Dordrecht: Springer.
Fitzgerald, G. J., S. M. Lesch, E. M. Barnes, and W. E. Luckett. 2006. “Directed Sampling Using Remote Sensing with a Response Surface Sampling Design for Site-Specific Agriculture.” Computers and Electronics in Agriculture 53 (2): 98–112.
Fuller, W. A. 1999. “Environmental Surveys over Time.” Journal of Agricultural, Biological, and Environmental Statistics 4 (4): 331–45.
Gelman, A., J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin. 2013. Bayesian Data Analysis. Third. Boca Raton: Chapman & Hall/CRC.
Gershenfeld, N. 1999. The Nature of Mathematical Modeling. Cambridge: Cambridge University Press.
Goerg, G. M. 2013. LICORS: Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data. https://CRAN.R-project.org/package=LICORS.
Goovaerts, P. 1997. Geostatistics for Natural Resources Evaluation. New York: Oxford University Press.
Grafström, A. 2012. “Spatially correlated Poisson sampling.” Journal of Statistical Planning and Inference 142 (1): 139–47.
Grafström, A., M. Ekström, B. G. Jonsson, P-A Esseen, and G Ståhl. 2019. “On Combining Independent Probability Samples.” Survey Methodology 45 (2): 349–64.
Grafström, A., and J. Lisic. 2019. BalancedSampling: Balanced and Spatially Balanced Sampling. https://CRAN.R-project.org/package=BalancedSampling.
Grafström, A., N. L. P. Lundström, and L. Schelin. 2012. “Spatially Balanced Sampling Through the Pivotal Method.” Biometrics 68 (2): 514–20.
Grafström, A., and L. Schelin. 2014. “How to Select Representative Samples.” Scandinavian Journal of Statistics 41 (2): 277–90. https://doi.org/10.1111/sjos.12016.
Grafström, A., and Y. Tillé. 2013. “Doubly Balanced Spatial Sampling with Spreading and Restitution of Auxiliary Totals.” Environmetrics 24 (2): 120–31. https://doi.org/10.1002/env.2194.
Griffith, D. A. 2005. “Effective Geographic Sample Size in the Presence of Spatial Autocorrelation.” Annals of the Association of American Geographers 95 (4): 740–60.
Gurney, M., and J. F. Daly. 1965. “A Multivariate Approach to Estimation in Periodic Sample Surveys.” In Proceedings of the American Statistical Association, Section on Social Statistics, 242–57.
Hankin, D. G., M. S. Mohr, and K. B. Newman. 2019. Sampling Theory: For the Ecological and Natural Resource Sciences. United Kingdom: Oxford University Press.
Hansen, M. H., W. G. Madow, and B. J. Tepping. 1983. “An Evaluation of Model-Dependent and Probability Sampling Inferences in Sample Surveys.” Journal of the American Statistical Association 78 (384): 776–93.
Hartig, F., F. Minunno, and S. Paul. 2019. BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics. https://CRAN.R-project.org/package=BayesianTools.
Hastie, T., R. Tibshirani, and J. Friedman. 2009. The Elements of Statistical Learning. Data Mining, Inference, and Prediction. Second. New York: Springer.
Heuvelink, G. B. M., D. J. Brus, and J. J. de Gruijter. 2007. “Optimization of Sample Configurations for Digital Mapping of Soil Properties with Universal Kriging.” In Digital Soil Mapping. An Introductory Perspective, edited by P. Lagacherie, A. B. McBratney, and M. Voltz, 137–51. Elsevier.
Hill, A., A. Massey, and D. Mandallaz. 2021. “The R Package Forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories.” Journal of Statistical Software 97 (4): 1–40. https://doi.org/10.18637/jss.v097.i04.
Hofman, S. C. K., and D. J. Brus. 2021. “How many sampling points are needed to estimate the mean nitrate-N content of agricultural fields? A geostatistical simulation approach with uncertain variograms.” Geoderma 385: 114816.
Höhle, M. 2017. binomSamSize: Confidence Intervals and Sample Size Determination for a Binomial Proportion under Simple Random Sampling and Pooled Sampling. https://CRAN.R-project.org/package=binomSamSize.
Huang, Z. 1998. “Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values.” Data Mining and Knowledge Discovery 2: 283–304.
Hutson, Alan D. 1999. “Calculating Nonparametric Confidence Intervals for Quantiles Using Fractional Order Statistics.” Journal of Applied Statistics 26 (3): 343–53. https://doi.org/10.1080/02664769922458.
Hutson, Nicholas, Alan Hutson, and Li Yan. 2019. QuantileNPCI: Nonparametric Confidence Intervals for Quantiles. https://CRAN.R-project.org/package=QuantileNPCI.
Hyndman, R. J., and Y. Fan. 1996. “Sample Quantiles in Statistical Packages.” American Statistician 50 (4): 361–65. https://doi.org/10.2307/2684934.
Isaaks, E. H., and R. M. Srivastava. 1989. An Introduction to Applied Geostatistics. New York: Oxford University Press.
Janssen, P. H. M., and P. S. C. Heuberger. 1995. “Calibration of Process-Oriented Models.” Ecological Modelling 83 (1–2): 55–66.
Jessen, R. J. 1942. “Statistical Investigation of a Sample Survey for Obtaining Farm Facts.” Research Bulletin (Iowa Agriculture and Home Economics Experiment Station) 26 (304): 54–59.
Joseph, Lawrence, David B. Wolfson, Roxane du Berger, and Patrick Bélisle. 2018. SampleSizeBinomial: Bayesian Sample Size Determination for a Single Binomial Proportion.
Joseph, L., and P. Bélisle. 1997. “Bayesian Sample Size Determination for Normal Means and Differences Between Normal Means.” Journal of the Royal Statistical Society. Series D (The Statistician) 46 (2): 209–26. https://www.jstor.org/stable/2988525.
———. 2012. SampleSizeMeans: Sample size calculations for normal means. https://CRAN.R-project.org/package=SampleSizeMeans.
Joseph, L., D. B. Wolfson, and R. du Berger. 1995. “Sample Size Calculations for Binomial Proportions via Highest Posterior Density Intervals.” Journal of the Royal Statistical Society. Series D (The Statistician) 44 (2): 143–54. URL: http://www.jstor.org/stable/2348439.
Karger, D. N., O. Conrad, J. Böhner, T. Kawohl, H. Kreft, R. W. Soria-Auza, N. E. Zimmermann, H. P. Linder, and M. Kessler. 2017. “Climatologies at High Resolution for the Earth’s Land Surface Areas.” Scientific Data 4: 170122.
Kim, J. K., and Z. Wang. 2019. “Sampling Techniques for Big Data Analysis.” International Statistical Review 87 (S1): S177–91.
Kirkpatrick, S., C. D. Gelatt, and M. P. Vecchi. 1983. “Optimization by Simulated Annealing.” Science 220 (4598): 671–80. https://doi.org/https://doi.org/10.1126/science.220.4598.671.
Kitanidis, P. K. 1983. “Statistical Estimation of Polynomial Generalized Covariance Functions and Hydrologic Applications.” Water Resources Research 19 (4): 909–21.
———. 1987. “Parametric Estimation of Covariances of Regionalized Variables.” Water Resources Bulletin 23 (4): 557–67.
Knotters, M., and D. J. Brus. 2010. “Estimating Space-Time Mean Concentrations of Nutrients in Surface Waters of Variable Depth.” Water Resources Research 46: W08502. https://doi.org/10.1029/2009WR008350.
Lark, R. M. 2000. “Estimating Variograms of Soil Properties by the Method-of-Moments and Maximum Likelihood.” European Journal of Soil Science 51 (4): 717–28.
———. 2002. “Optimized Spatial Sampling of Soil for Estimation of the Variogram by Maximum Likelihood.” Geoderma 105 (1): 49–80.
———. 2011. “Spatially nested sampling schemes for spatial variance components: Scope for their optimization.” Computers & Geosciences 37 (10): 1633–41. https://doi.org/{10.1016/j.cageo.2010.12.010}.
Lark, R. M., E. M. Hamilton, B. Kaninga, K. K. Maseka, M. Mutondo, G. M. Sakala, and M. J. Watts. 2017. “Planning Spatial Sampling of the Soil from an Uncertain Reconnaissance Variogram.” SOIL 3 (4): 235–44.
Lark, R. M., and B. P. Marchant. 2018. “How Should a Spatial-Coverage Sample Design for a Geostatistical Soil Survey Be Supplemented to Support Estimation of Spatial Covariance Parameters?” Geoderma 319: 89–99. https://doi.org/https://doi.org/10.1016/j.geoderma.2017.12.022.
Lark, R. M., and R. Webster. 2006. “Geostatistical Mapping of Geomorphic Variables in the Presence of Trend.” Earth Surface Processes and Landforms 31 (7): 862–74.
Lenth, R. V. 2009. “Response-Surface Methods in R, Using rsm.” Journal of Statistical Software 32 (7): 1–17.
Lesch, S. M. 2005. “Sensor-Directed Response Surface Sampling Designs for Characterizing Spatial Variation in Soil Properties.” Computers and Electronics in Agriculture 46 (1–3): 153–79.
Lesch, S. M., D. J. Strauss, and J. D. Rhoades. 1995. “Spatial Prediction of Soil Salinity Using Electromagnetic Induction Techniques, 2. An Efficient Spatial Sampling Algorithm Suitable for Multiple Linear Regression Model Identification and Estimation.” Water Resources Research 31 (2): 387–98.
Lisic, Jonathan, and Anton Grafström. 2018. SamplingBigData: Sampling Methods for Big Data. https://CRAN.R-project.org/package=SamplingBigData.
Lohr, S. L. 1999. Sampling: Design and Analysis. Pacific Grove: Duxbury Press.
Lumley, T. 2020. leaps: Regression Subset Selection. https://CRAN.R-project.org/package=leaps.
———. 2021. survey: Analysis of Complex Survey Samples.
Ly, A., M. Marsman, J. Verhagen, R. P. P. P. Grasman, and E. J. Wagenmakers. 2017. “A Tutorial on Fisher Information.” Journal of Mathematical Psychology 80: 40–55.
Ma, T., D. J. Brus, A-X. Zhu, L. Zhang, and T. Scholten. 2020. “Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps.” Geoderma 370: 114366. https://doi.org/https://doi.org/10.1016/j.geoderma.2020.114366.
Mandallaz, D. 2007. Sampling Techniques for Forest Inventories. Boca Raton: Chapman & Hall/CRC. https://doi.org/10.1201/9781584889779.
Mandallaz, D., J. Breschan, and A. Hill. 2013. “New regression estimators in forest inventories with two-phase sampling and partially exhaustive information: A design-based Monte Carlo approach with applications to small-area estimation.” Canadian Journal of Forest Research 43 (11): 1023–31. https://doi.org/10.1139/cjfr-2013-0181.
Marcelli, A., P. Corona, and L. Fattorini. 2019. “Design-Based Estimation of Mark Variograms in Forest Ecosystem Surveys.” Spatial Statistics 30: 27–38.
Marchant, B. P., and R. M. Lark. 2007. “Optimized Sample Schemes for Geostatistical Surveys.” Mathematical Geology 39 (1): 113–34. https://doi.org/{10.1007/s11004-006-9069-1}.
Matérn, B. 1947. “Methods of Estimating the Accuracy of Line and Sample Plot Surveys.” Meddelanden Från Statens Skogsforskningsinstitut 36 (1).
———. 1986. Spatial Variation. Second. Vol. 36. Lecture Notes in Statistics. Berlin: Springer-Verlag.
McConville, K. S., G. G. Moisen, and T. S. Frescino. 2020. “A Tutorial on Model-Assisted Estimation with Application to Forest Inventory.” Forests 11 (2): 244. https://doi.org/10.3390/f11020244.
McConville, Kelly, Becky Tang, George Zhu, Sida Li, Shirley Chueng, and Daniell Toth. 2021. mase: Model-Assisted Survey Estimation. https://cran.r-project.org/package=mase.
McKay, M. D., R. J. Beckman, and W. J. Conover. 1979. “A comparison of three methods for selecting values of input variables in the analysis of output from a computer code.” Technometrics 21 (2): 239–45. https://doi.org/10.2307/1268522.
McLaren, C. H., and D. G. Steel. 2001. “Rotation Patterns and Trend Estimation for Repeated Surveys Using Rotation Group Estimates.” Statistica Neerlandica 55 (2): 221–38.
Minasny, B., and A. B. McBratney. 2006. “A Conditioned Latin Hypercube Method for Sampling in the Presence of Ancillary Information.” Computers & Geosciences 32 (9): 1378–88. https://doi.org/10.1016/j.cageo.2005.12.009.
———. 2010. “Conditioned Latin Hypercube Sampling for Calibrating Soil Sensor Data to Soil Properties.” In Proximal Soil Sensing, edited by R. A. Viscarra Rossel, A. B. McBratney, and B. Minasny, 111–19. Springer, Dordrecht.
Müller, Kirill, and Hadley Wickham. 2021. Tibble: Simple Data Frames. https://CRAN.R-project.org/package=tibble.
Müller, W. G., and D. L. Zimmerman. 1999. “Optimal Designs for Variogram Estimation.” Environmetrics 10 (1): 23–37.
Myers, R. H., D. C. Montgomery, and C. M. Anderson-Cook. 2009. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. Third. Hoboken: John Wiley & Sons.
Nanthakumar, A., and K. Selvavel. 2004. “Estimation of Proportion of Success from a Stratified Population: A Comparative Study.” Communications in Statistics 33 (9): 2245–57.
Nychka, D., R. Furrer, J. Paige, S. Sain, F. Gerber, and M. Iverson. 2021. Fields: Tools for Spatial Data. Boulder, CO, USA: University Corporation for Atmospheric Research. https://github.com/dnychka/fieldsRPackage.
Oliver, M. A., and R. Webster. 1986. “Combining Nested and Linear Sampling for Determining the Scale and Form of Spatial Variation of Regionalized Variables.” Geographical Analysis 18 (3): 227–42.
Ott, R. L., and M. Longnecker. 2015. An Introduction to Statistical Methods and Data Analysis. Seventh. Boston: Cengage Learning.
Papritz, A. J., A. Dümig, C. Zimmermann, H. H. Gerke, B. Felderer, I. Kögel-Knabner, W. Schaaf, and R. Schulin. 2011. “Uncertainty of variance component estimates in nested sampling: a case study on the field-scale spatial variability of a restored soil.” European Journal of Soil Science 62 (3): 479–95. https://doi.org/{10.1111/j.1365-2389.2011.01363.x}.
Patterson, H. D. 1950. “Sampling on Successive Occasions with Partial Replacement of Units.” Journal of the Royal Statistical Society. Series B (Methodological) 12 (2): 241–55. http://www.jstor.org/stable/2983982.
Pebesma, E. J. 2004. “Multivariable Geostatistics in S: The Gstat Package.” Computers & Geosciences 30 (7): 683–91.
Pebesma, E. J., and R. S. Bivand. 2005. “Classes and methods for spatial data in R.” R News 5 (2): 9–13. http://cran.r-project.org/doc/Rnews/.
Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.
Pinheiro, J., D. Bates, S. DebRoy, D. Sarkar, and R Core Team. 2021. nlme: Linear and Nonlinear Mixed Effects Models. https://CRAN.R-project.org/package=nlme.
Plant, R. E. 2012. Spatial Data Analysis in Ecology and Agriculture Using R. Boca Raton: CRC Press.
R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rao, J. N. K. 2003. Small Area Estimation. Hoboken: John Wiley & Sons.
Ribeiro Jr, Paulo J., Peter J. Diggle, Martin Schlather, Roger Bivand, and Brian Ripley. 2020. geoR: Analysis of Geostatistical Data. https://CRAN.R-project.org/package=geoR.
Ripley, B. D. 1981. Spatial Statistics. New York: John Wiley & Sons.
Robertson, B. L., J. A. Brown, T. McDonald, and P. Jaksons. 2013. “BAS: Balanced Acceptance Sampling of Natural Resources.” Biometrics 69 (3): 776–84. https://doi.org/DOI: 10.1111/biom.12059.
Rosén, B. 1997. “On Sampling with Probability Proportional to Size.” Journal of Statistical Planning and Inference 62 (2): 159–91.
Roudier, P. 2021. clhs: a R package for conditioned Latin hypercube sampling.
Roudier, P., A. E. Hewitt, and D. E. Beaudette. 2012. “A conditioned Latin hypercube sampling algorithm incorporating operational constraints.” In Digital Soil Assessments and Beyond. Proceedings of the 5th Global Workshop on Digital Soil Mapping, edited by B. Minasny, B. P. Malone, and A. B. McBratney, 227–32. Leiden: CRC Press/Balkema.
Samuel-Rosa, A. 2019. spsann: Optimization of Sample Configurations using Spatial Simulated Annealing. https://CRAN.R-project.org/package=spsann.
Särndal, C. E., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. New York: Springer.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2021. GGally: Extension to ’Ggplot2’. https://CRAN.R-project.org/package=GGally.
Schoch, Tobias. 2014. Rsae: Robust Small Area Estimation.
Signorell, Andri. 2021. DescTools: Tools for Descriptive Statistics. https://cran.r-project.org/package=DescTools.
Stehman, S. V. 1999. “Basic Probability Sampling Designs for Thematic Map Accuracy Assessment.” International Journal of Remote Sensing 20 (12): 2423–41.
Stehman, S. V., C. C. Fonte, G. M. Foody, and L. See. 2018. “Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover.” Remote Sensing of Environment 212: 47–59. https://doi.org/10.1016/j.rse.2018.04.014.
Stevens, D. L., and A. R. Olson. 2004. “Spatially Balanced Sampling of Natural Resources.” Journal of the American Statistical Association 99 (465): 262–78.
Szepannek, Gero. 2018. “clustMixType: User-Friendly Clustering of Mixed-Type Data in R.” The R Journal 10 (2): 200–208. https://doi.org/10.32614/RJ-2018-048.
ter Braak, C. J. F., and J. A. Vrugt. 2008. “Differential Evolution Markov Chain with snooker updater and fewer chains.” Statistics and Computing 18 (4): 435–46. https://doi.org/DOI 10.1007/s11222-008-9104-9.
Tillé, Y. 2006. Sampling Algorithms. New York: Springer.
Tillé, Y., and A. Matei. 2021. sampling: Survey Sampling. https://CRAN.R-project.org/package=sampling.
Toth, Daniell. 2021. rpms: Recursive Partitioning for Modeling Survey Data. https://CRAN.R-project.org/package=rpms.
Valliant, Richard, Jill A. Dever, and Frauke Kreuter. 2018. Practical Tools for Designing and Weighting Survey Samples. Second. New York: Springer.
———. 2021. PracTools: Tools for Designing and Weighting Survey Samples. https://CRAN.R-project.org/package=PracTools.
van Groenigen, J. W., G. Pieters, and A. Stein. 2000. “Optimizing Spatial Sampling for Multivariate Contamination in Urban Areas.” Environmetrics 11 (2): 227–44.
van Groenigen, J. W., W. Siderius, and A. Stein. 1999. “Constrained Optimisation of Soil Sampling for Minimisation of the Kriging Variance.” Geoderma 87 (3): 239–59.
van Groenigen, J. W., and A. Stein. 1998. “Constrained Optimization of Spatial Sampling Using Continuous Simulated Annealing.” Journal of Environmental Quality 27 (5): 1078–86.
Venables, W. N., and B. D. Ripley. 2002. Modern Applied Statistics with s. Fourth. New York: Springer. http://www.stats.ox.ac.uk/pub/MASS4/.
Wadoux, A. M. J-C., D. J. Brus, and G. B. M. Heuvelink. 2019. “Sampling Design Optimization for Soil Mapping with Random Forest.” Geoderma 355: 113913. https://doi.org/10.1016/j.geoderma.2019.113913.
Walvoort, D. J. J., D. J. Brus, and J. J. de Gruijter. 2010. “An R Package for Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata by k-Means.” Computers & Geosciences 36 (10): 1261–67. https://doi.org/10.1016/j.cageo.2010.04.005.
Walvoort, Dennis, Dick Brus, and Jaap de Gruijter. 2020. Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata. https://CRAN.R-project.org/package=spcosa.
Wang, J., R. Haining, and Z. Cao. 2010. “Sample Surveying to Estimate the Mean of a Heterogeneous Surface: Reducing the Error Variance Through Zoning.” International Journal of Geographical Information Science 24 (4): 523–43. https://doi.org/10.1080/13658810902873512.
Wang, J., A. Stein, B. Gao, and Y. Ge. 2012. “A Review of Spatial Sampling.” Spatial Statistics 2 (1): 1–14.
Wang, Z., and Z. Zhu. 2019. “Spatiotemporal Balanced Sampling Design for Longitudinal Area Surveys.” Journal of Agricultural, Biological, and Environmental Statistics 24 (2): 245–63. https://doi.org/10.1007/s13253-019-00350-w.
Ware, K. D. Ware, and T. Cunia. 1962. “Continuous Forest Inventory with Partial Replacement of Samples.” Forest Science Monographs 3: 1–40.
Webster, R., and M. A. Oliver. 1992. “Sample Adequately to Estimate Variograms of Soil Properties.” Journal of Soil Science 43 (1): 177–92.
———. 2007. Geostatistics for Environmental Scientists. Second. Chichester: Wiley.
Webster, R., S. J. Welham, J. M. Potts, and M. A. Oliver. 2006. “Estimating the Spatial Scales of Regionalized Variables by Nested Sampling, Hierarchical Analysis of Variance and Residual Maximum Likelihood.” Computers & Geosciences 32 (9): 1320–33.
Wickham, Hadley. 2019. Stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.
———. 2021. forcats: Tools for Working with Categorical Variables (Factors). https://CRAN.R-project.org/package=forcats.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2021. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Wickham, H., and G. Grolemund. 2017. R for Data Science. Import, Tidy, Transform, Visualize, and Model Data. Sebastopol: O’Reilly Media. https://books.google.nl/books?id=-7RhvgAACAAJ.
Woodruff, Ralph S. 1963. “The Use of Rotating Samples in the Census Bureau’s Monthly Surveys.” Journal of the American Statistical Association 58 (302): 454–67. http://www.jstor.org/stable/2283279.
Wright, Marvin N., and Andreas Ziegler. 2017. “ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R.” Journal of Statistical Software 77 (1): 1–17. https://doi.org/10.18637/jss.v077.i01.
Wu, C. 2003. “Optimal Calibration Estimators in Survey Sampling.” Biometrika 90 (4): 937–51.
Wu, C., and R. R. Sitter. 2001. “A Model-Calibration Approach to Using Complete Auxiliary Information from Survey Data.” Journal of the American Statistical Association 96 (453): 185–93.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. First. Boca Raton: Chapman & Hall/CRC.
Zhao, X., and A. Grafström. 2020. “A Sample Coordination Method to Monitor Totals of Environmental Variables.” Environmetrics 31 (6). https://doi.org/10.1002/env.2625.
Zhu, Z., and M. L. Stein. 2005. “Spatial Sampling Design for Parameter Estimation of the Covariance Function.” Journal of Statistical Planning and Inference 134 (2): 583–603.
———. 2006. “Spatial Sampling Design for Prediction with Estimated Parameters.” Journal of Agricultural, Biological, and Environmental Statistics 11 (1): 24–44.
Zhu, Z., and H. Zhang. 2006. “Spatial Sampling Under the Infill Asymptotic Framework.” Environmetrics 17: 323–37.
Zimmerman, D. L. 2006. “Optimal Network Design for Spatial Prediction, Covariance Parameter Estimation, and Empirical Prediction.” Environmetrics 17 (6): 635–52.