Kernel intensity estimation of 2-dimensional spatial Poisson point processes from \(k\)-tree sampling

DOI10.1007/S13253-014-0175-0zbMath1303.62067OpenAlexW2159013737WikidataQ58042403 ScholiaQ58042403MaRDI QIDQ489933

Natalie Hsiang, Adam B. Maidman, Nicholas J. Gotelli, Michael Lavine, Aaron M. Ellison

Publication date: 21 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-014-0175-0

zbMATH Keywords

kernel estimationplotless samplingSarracenia purpurea

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Adaptive sampling designs. Inference for sparse and clustered populations.
• Robust density estimation using distance methods
• A note on robust density estimation for spatial point patterns
• Modeling Spatiotemporal Forest Health Monitoring Data

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