One point per cluster spatially balanced sampling

DOI10.1016/J.CSDA.2023.107888zbMATH Open1543.62182MaRDI QIDQ6554238

Blair Robertson, Chris J. Price

Publication date: 12 June 2024

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

environmental samplingconstrained \(k\)-meanslinear assignments

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Title not available (Why is that?)
• Spatially balanced sampling through the pivotal method
• BAS: balanced acceptance sampling of natural resources
• Ordered spatial sampling by means of the traveling salesman problem
• A modification of balanced acceptance sampling
• Alternative and complementary approaches to spatially balanced samples
• An LP-based \(k\)-means algorithm for balancing weighted point sets
• Spatially balanced sampling with local ranking
• Using a master sample to integrate stream monitoring programs
• Quasi-random ranked set sampling
• On algorithms for permuting large entries to the diagonal of a sparse matrix
• Spatially Balanced Sampling of Continuous Populations
• A spatially balanced design with probability function proportional to the within sample distance
• How to Select Representative Samples
• Spatially Balanced Sampling of Natural Resources
• Sampling
• Spatially Balanced Sampling: A Review and A Reappraisal
• Doubly balanced spatial sampling with spreading and restitution of auxiliary totals

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