References
- D’Orazio, M. (2003). Estimating the variance of the sample mean in two-dimensional systematic sampling. Journal of Agricultural, Biological, and Environmental Statistics, 8(3), 280-295.
- Eberhardt, L., & Thomas, J. (1991). Designing environmental field studies. Ecological Monographs, 61(1), 53-73.
- Fattorini, L., Marcheselli, M., & Pisani, C. (2006). A three-phase sampling strategy for large-scale multiresource forest inventories. Journal of Agricultural, Biological, and Environmental Statistics, 11(3), 296-316.
- Grafström, A. (2012). Spatially correlated Poisson sampling. Journal of Statistical Planning and Inference, 142(1), 139-147.
- Grafström, A., Lundström, N. L., & Schelin, L. (2012). Spatially balanced sampling through the pivotal method. Biometrics, 68(2), 514-520.
- Green, R. H. (1979). Sampling design and statistical methods for environmental biologists: John Wiley & Sons.
- Halton, J. H. (1960). On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals. Numerische Mathematik, 2(1), 84-90.
- Horvitz, D. G., & Thompson, D. J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American statistical Association, 47(260), 663-685.
- Howlin, S., & Mitchell, J. (2016). Monitoring Black-Tailed Prairie Dogs in Colorado with the 2015 NAIP Imagery.
- Keinath, D. A., & Abernethy, I. (2016). Bat population monitoring of bighorn canyon national recreation area: 2015 progress report.
- Mason, B. J. (1992). Preparation of soil sampling protocols: sampling techniques and strategies. Retrieved from
- McDonald, L., Mitchell, J., Howlin, S., & Goodman, C. (2015). Range-Wide Monitoring of Black-Tailed Prairie Dogs in the United States: Pilot Study.
- McDonald, T. (2016). SDraw: Spatially Balanced Sample Draws for Spatial Objects. R package version 2.1.3. https://CRAN.R-project.org/package=SDraw.
- Nadaraya, E. (1964). On estimating regression. Theory of Probability & Its Applications, 9(1), 141-142.
- Nadaraya, E. (2012). Nonparametric estimation of probability densities and regression curves (Vol. 20): Springer Science & Business Media.
- Payandeh, B. (1970). Relative efficiency of two-dimensional systematic sampling. Forest science, 16(3), 271-276.
- R Core Team, (2016, September). A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2015. Retrieved September 5, 2016, from URL http.www.R-project.org.
- Robertson, B., Brown, J., McDonald, T., & Jaksons, P. (2013). BAS: Balanced acceptance sampling of natural resources. Biometrics, 69(3), 776-784.
- Stehman, S. V. (2009). Sampling designs for accuracy assessment of land cover. International Journal of Remote Sensing, 30(20), 5243-5272.
- Stevens Jr, D. L., & Olsen, A. R. (2004). Spatially balanced sampling of natural resources. Journal of the American statistical Association, 99(465), 262-278.
- Tomppo, E., & Heikkinen, J. (1999). National forest inventory of Finland—past, present and future. Statistics, registries and research-experiences from Finland, 89-108.
- Wang, J.-F., Stein, A., Gao, B.-B., & Ge, Y. (2012). A review of spatial sampling. Spatial Statistics, 2, 1-14.
- Watson, G. S. (1964). Smooth regression analysis. Sankhyā: The Indian Journal of Statistics, Series A, 359-372.