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Bayesian spatial record linkage for multi-temporal LiDAR (Plantae)

Subcategory: record linkage
Standard reference: Sadlne (2018)
Papers: 1 | Mentions: 2

Local Knowledge Graph (21 entities)

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Knowledge graph centered on Bayesian spatial record linkage for multi-temporal LiDAR (Plantae) with 21 nodes and 45 connections. Top connected: stand density effects, canopy surface area, Forest inventory plot sampling, dendroecological reconstruction, tree mortality.

Description

A two-stage Bayesian hierarchical approach that identifies unique individuals across LiDAR scans by modeling observed locations as noisy transformations of latent true locations, then propagates linkage uncertainty into downstream analysis through linkage-averaging.

Typical Equipment

  • R statistical software
  • Rcpp package
  • C++ implementation
  • RcppArmadillo package

Output Measurements

  • linkage probabilities
  • latent individual locations
  • linkage structure samples