Simulated Metrics and Variables for a Stand Case Study in La Rioja

This list contains metrics and variables estimated from field data and TLS data from Rioja.data.

The elements on this list correspond to simulations ‘Value’, as follows:

1. fixed.area: data frame with TLS metrics and variables estimated on the basis of simulated plots in a fixed area plot design with radius increment of 0.1 m (from smallest possible radius to 20 m). The following variables are provided for each pair (plot, radius) (see simulations ‘Value’ for more details):

   [,1]	id	character/numeric	[,2]
   radius	numeric	[,3:5]	N, G, V
   numeric	[,6:9]	d, dg, dgeom, dharm	numeric
   [,10:13]	h, hg, hgeom, hharm	numeric	[,14:17]
   d.0, dg.0, dgeom.0, dharm.0	numeric	[,18:21]	h.0, hg.0, hgeom.0, hharm.0
   numeric	[,22:27]	N.tls, N.hn.tls, N.hr.tls, N.hn.cov.tls, N.hr.cov.tls, N.sh.tls	numeric
   [,28:31]	num.points, num.points.est, num.points.hom, num.points.hom.est	numeric	numeric
   [,32:37]	G.tls, G.hn.tls, G.hr.tls, G.hn.cov.tls, G.hr.cov.tls, G.sh.tls	numeric	[,38:43]
   V.tls, V.hn.tls, V.hr.tls, V.hn.cov.tls, V.hr.cov.tls, V.sh.tls	numeric	[,44:47]	d.tls, dg.tls, dgeom.tls, dharm.tls
   numeric	[,48:51]	h.tls, hg.tls, hgeom.tls, hharm.tls	numeric
   [,52:55]	d.0, dg.0, dgeom.0, dharm.0	numeric	[,56:59]
   h.0, hg.0, hgeom.0, hharm.0	numeric	[,60:74]	P01, P05, P10, P20, P25, P30, P40, P50, P60, P70, P75, P80, P90, P95, P99

2. k.tree: data frame with TLS metrics and variables estimated on the basis of simulated plots under k-tree plot design for incremental values of 1 tree (from 1 to largest number of trees in one plot). The following variables are provided for each pair (plot, k) (see simulations ‘Value’ for more details):

   [,1]	id	character/numeric	[,2]
   k	numeric	[,3:5]	N, G, V
   numeric	[,6:9]	d, dg, dgeom, dharm	numeric
   [,10:13]	h, hg, hgeom, hharm	numeric	[,14:17]
   d.0, dg.0, dgeom.0, dharm.0	numeric	[,18:21]	h.0, hg.0, hgeom.0, hharm.0
   numeric	[,22:27]	N.tls, N.hn.tls, N.hr.tls, N.hn.cov.tls, N.hr.cov.tls, N.sh.tls	numeric
   [,28:31]	num.points, num.points.est, num.points.hom, num.points.hom.est	numeric	numeric
   [,32:37]	G.tls, G.hn.tls, G.hr.tls, G.hn.cov.tls, G.hr.cov.tls, G.sh.tls	numeric	[,38:43]
   V.tls, V.hn.tls, V.hr.tls, V.hn.cov.tls, V.hr.cov.tls, V.sh.tls	numeric	[,44:47]	d.tls, dg.tls, dgeom.tls, dharm.tls
   numeric	[,48:51]	h.tls, hg.tls, hgeom.tls, hharm.tls	numeric
   [,52:55]	d.0, dg.0, dgeom.0, dharm.0	numeric	[,56:59]
   h.0, hg.0, hgeom.0, hharm.0	numeric	[,60:74]	P01, P05, P10, P20, P25, P30, P40, P50, P60, P70, P75, P80, P90, P95, P99

3. angle.count: data frame with TLS metrics and variables estimated on the basis of simulated plots in an angle-count plot design. They plots are simulated for correlative angle-count plots and incremental values of 0.1 \({m}^{2}/ha\) for BAF. The following variables are provided for each pair (plot, BAF) (see simulations ‘Value’ for more details):

   [,1]	id	character/numeric	[,2]
   BAF	numeric	[,3:5]	N, G, V
   numeric	[,6:9]	d, dg, dgeom, dharm	numeric
   [,10:13]	h, hg, hgeom, hharm	numeric	[,14:17]
   d.0, dg.0, dgeom.0, dharm.0	numeric	[,18:21]	h.0, hg.0, hgeom.0, hharm.0
   numeric	[,22:23]	N.tls, N.pam.tls	numeric
   [,24:27]	num.points, num.points.est, num.points.hom, num.points.hom.est	numeric	numeric
   [,28:29]	G.tls, G.pam.tls	numeric	[,30:31]
   V.tls, V.pam.tls	numeric	[,32:35]	d.tls, dg.tls, dgeom.tls, dharm.tls
   numeric	[,48:51]	h.tls, hg.tls, hgeom.tls, hharm.tls	numeric
   [,36:39]	d.0, dg.0, dgeom.0, dharm.0	numeric	[,40:43]
   h.0, hg.0, hgeom.0, hharm.0	numeric	[,44:62]	P01, P05, P10, P20, P25, P30, P40, P50, P60, P70, P75, P80, P90, P95, P99

Usage

data(Rioja.simulations)

Format

List with 3 data frames containing 2224 observations and 74 variables (simulations.fixed.area.plot), 272 observations and 74 variables (simulations.k.tree.plot), and 576 observations and 62 variables (simulations.angle.count.plot).