Description Usage Arguments Details Value See Also Examples
This function attributes a weight to each equation based on its sampling size, and taxonomic and climatic similarity with the species/site combination considered.
1 2 3 4 5 6 7 8  weight_allom(
genus,
coords,
species = NULL,
new_eqtable = NULL,
wna = 0.1,
w95 = 500
)

genus 
a character value, containing the genus (e.g. "Quercus") of the tree. 
coords 
a numeric vector of length 2 with longitude and latitude. 
species 
a character vector (same length as genus), containing the
species (e.g. "rubra") of the tree. Default is 
new_eqtable 
Optional. An equation table created with the

wna 
a numeric vector, this parameter is used in the 
w95 
a numeric vector, this parameter is used to determine the value at which the samplesizerelated weight reaches 95% of its maximum value (max=1). Default is 500. 
Each equation is given a weight by the function weight_allom()
, calculated
as the product of the following components:
(1) samplesize weight, calculated as:
1exp(n*(log(20)/w95))
where n is the sample size of the equation; the weight given to equations
with no sample size information is determined by argument wna
(0.1 by
default).
(2) climate weight, based on the similarity between the climatic conditions
of the equation site and the target location, using the threeletter system
of Koppen's climate scheme. Climate weights associated with each combination
of two Koppen climates are provided in data("koppenMatrix")
. The resulting
weight has a value between 1e6 (different climate groups) and 1 (exactly the
same climate classification). When an equation was calibrated with trees from
several locations with different Koppen climates, the maximum value out of
all pairwise equationsite climate weights is used.
(3) taxonomic weight: equal to 1 for same species equations, 0.8 for same genus equations, 0.5 for same family equations and for equations calibrated for the same broad functional or taxonomic group (e.g. shrubs, conifers, angiosperms). All other equations are given a low taxonomic weight of 1e6: these equations will have a significant relative weight in the final prediction only when no other more specific equation is available.
A named "numeric" vector with one weight for each equation.
get_biomass()
, new_equations()
.
1 2 3 4 5 6 7  x < weight_allom(
genus = "Acer",
species = "negundo",
coords = c(78.2, 38.9)
)
str(x)
head(x)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.