View source: R/estimate_allgaps.R
estimate_allgaps | R Documentation |
plot_data_pull
,
not with WITHIN plot_data_pull
.Estimate annual & perennial canopy gaps from perennial canopy gaps and LPI
cover data with a linear model built by Joe Brehm, to be published in McCord
et al. (in prep as of 10/2023). All estimates require values for (1) the
perennial gap window that matches the annual & perennial gap window to be
estimated (e.g. to estimate annual gaps > 25 cm, use perennial gaps > 25 cm),
(2) annual grass cover, (3) perennial grass cover, (4) shrub cover, and (5)
forb cover. All cover variables should come from any-hit indicators
calculated from LPI data. Structured to be used AFTER plot_data_pull
,
not with WITHIN plot_data_pull
.
estimate_allgaps(gap_type = "25plus", perennial_gaps, AG, PG, SH, Forb)
gap_type |
Character indicating the gap window to be predicted. One of "25plus", "50plus", "100plus", or "200plus". Defaults to "25 plus". |
perennial_gaps |
Numeric vector containing the perennial gap values. Example indicator column name is "CP_percent_25plus". |
AG |
Numeric vector containing the any-hit annual grass cover values. Example indicator column name is "AH_AnnGrassCover". |
PG |
Numeric vector containing the any-hit perennial grass cover values. Example indicator column name is "AH_PerenGrassCover". |
SH |
Numeric vector containing the any-hit shrub cover values. Example indicator column name is "AH_ShrubCover". |
Forb |
Numeric vector containing the any-hit forb cover values. Example indicator column name is "AH_ForbCover". |
Numeric vector of estimated annual and perennial gap values for the
descriptor indicated in gap_type
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