Stratified random forest sampling by stand density (Pinaceae)

Local Knowledge Graph (12 entities)

Knowledge graph centered on Stratified random forest sampling by stand density (Pinaceae) with 12 nodes and 24 connections. Top connected: stand density effects, carbon mass balance, Forest inventory plot sampling, increment core sampling, allometric relationships.

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

Papers Using This Protocol (1)