Description: k-tree sampling is frequently applied in ecological sampling; less so in forest inventory for the concern of unbiasedness. A design-unbiased estimator had recently been developed (Kleinn and Vilcko 2006), using inclusion zones that quantify the per-tree selection probability - but that are laborious to determine in the field (higher order Voronoi diagrams). That estimation approach shall be further developed in this project for restricted k-tree sampling; that is to the point-centered-quarter method and to the T-square sampling technique. New approaches are required, the higher order Voronoi diagrams do not apply. Also, we wish to clarify the following research questions for both unrestricted and restricted k-tree sampling:Can the selection probability be approximated by regressing them to easily measurable inter-tree distances at the sample point - How compares the unbiased estimator for restricted/unrestricted k-tree sampling to fixed area plots in terms of precision for different point patterns - Can tree mapping be optimized by an integrated field computing and measurement system - Theoretical analyses and simulation studies on real data will be carried and also field testing. The results will be equally important for forest inventory sampling and for ecological sampling.
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Tags: Baum ? Messeinrichtung ? Ökologie ? Kartographie ? Waldinventur ? Ackerfläche ? Simulation ? Studie ? Karte ? Messung ? Daten ? Forschung ? Probenahme ? Planung ? Gebiet ? Auslese ? Erlass [Recht] ? Probenahmestelle ? Stadtteil ? Steuerung und Nutzung der Waldressourcen ?
Region: Niedersachsen
Bounding boxes: 6.34585436170082° .. 11.598078494585739° x 51.295231899260386° .. 54.137910176972056°
License: Creative Commons Namensnennung-keine Bearbeitung-Nichtkommerziell 4.0
Language: Englisch/English
Last harvest: 22.06.2026 00:32
Time ranges: 2008-01-01 - 2026-06-30
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