Rioja.simulations {FORTLS} | R Documentation |
Simulated Metrics and Variables for a Stand Case Study in La Rioja
Description
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:
-
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) (seesimulations
‘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 numeric -
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) (seesimulations
‘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 numeric -
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 0.1for 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 numeric
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).