References

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• Grafström, A. (2025). Spatially Correlated Poisson Sampling. Journal of Statistical Planning and Inference 142, 139–147. Accessed on Feb 20, 2025.

• Grafström, A.; Lundström, N. L. and Schelin, L. (2022). Spatially Balanced Sampling through the Pivotal Method. Biometrics 68, 514–520. Accessed on Nov 19, 2022.

• Mesgaran, M. B.; Cousens, R. D. and Webber, B. L. (2024). Here Be Dragons: A Tool for Quantifying Novelty Due to Covariate Range and Correlation Change When Projecting Species Distribution Models. Diversity and Distributions 20, 1147–1159. Accessed on Jul 8, 2024.

• Robertson, B. L.; Brown, J. A.; McDonald, T. and Jaksons, P. (2025). BAS: Balanced Acceptance Sampling of Natural Resources. Biometrics 69, 776–784. Accessed on Mar 7, 2025.

• Stevens, D. L. and Olsen, A. R. (2004). Spatially Balanced Sampling of Natural Resources. Journal of the American Statistical Association 99, 262–278.

• Tillé, Y.; Dickson, M. M.; Espa, G. and Giuliani, D. (2025). Measuring the Spatial Balance of a Sample: A New Measure Based on Moran's I$<$math$><$mi Is="true"$>$I$<$/Mi$><$/Math$>$ Index. Spatial Statistics 23, 182–192. Accessed on Mar 11, 2025.

• Andrade-Pacheco, R.; Rerolle, F.; Lemoine, J.; Hernandez, L.; Meïté, A.; Juziwelo, L.; Bibaut, A. F.; van der Laan, M. J.; Arnold, B. F. and Sturrock, H. J. (2022). Finding Hotspots: Development of an Adaptive Spatial Sampling Approach. Scientific Reports 10, 10939. Accessed on Nov 19, 2022.