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Stratified random forest sampling by stand density (Pinaceae)

Subcategory: spatial sampling
Papers: 1 | Mentions: 1

Local Knowledge Graph (26 entities)

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Knowledge graph centered on Stratified random forest sampling by stand density (Pinaceae) with 26 nodes and 99 connections. Top connected: Spruce, Picea engelmannii, Engelmann spruce, Abies lasiocarpa, Abies.

Description

Stratified random sampling approach that categorizes trees by canopy volume and neighborhood density using kernel density estimation, then randomly selects representatives from each stratum.

Typical Equipment

  • QGIS processing toolbox
  • Kernel Density Estimation function
  • R script for random sampling

Output Measurements

  • representative tree sample
  • stand density categories