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fiaRI object to reflect recent changes in
the FIA Database. These changes resulted in the package functions
successfully working with the previous version of fiaRI but
not working for actual user data when pulling data from recent versions
of the FIA Database.sf) objects with the following functions:
tpa(). Changes in recent versions of the sf
package led to errors when attempting to return a spatial object. This
bug is now fixed.area() and
areaChange() that resulted in incorrect area (or area
change) estimates being reported when specifying treeDomain
and grpBy (when using grouping variables from TREE). In the
previous version, the filters were not properly applied, and so area
estimates did not adequately represent the filtering conditions and
often just provided the same values as if treeDomain was
not specified. Estimates now provide correct results that are more
inline with intuition. For example, if specifying
treeDomain = SPCD == 121 [i.e., longleaf pine], the
previous area() function would essentially ignore this and
return area of all forest plots. Now, area() will return
the estimate of land area where at least one longleaf pine tree occurs.
Further, the estimate of percent area will be the percentage of total
land area (which is determined by landType) that contains
longleaf pine.biomass(). Previous versions
were not compatible with updates in FIADB and the new National Scale
Volume and Biomass (NSVB) estimators. The function is now updated and
returns biomass and carbon estimates using the NSVB procedure.findEVALID() to return the correct evaluation
IDs. Previous versions had an incorrect join that resulted in
additional, incorrect EVALIDs being returned for a given set of
criteria. This function should only be used by users familiar with FIA
and desiring to use FIA data for use outside of rFIA, as
rFIA is built in a way that users do not need to directly
interact with EVALIDs.dwm() when byPlot = TRUE to set
the YEAR column equal to the year each plot was measured
(MEASYEAR), which may differ slightly from its associated
inventory year (INVYR). This is what all other
rFIA functions do and what was reported in the manual, but
the YEAR returned prior to this version was actually the
inventory year.growMort() that resulted in estimates
of mean annual survivor growth and mean annual net change reporting as
0.growMort() calculation of
removals and the description of it in the manual. Removal estimates
provided by growMort() do NOT include stems that grow
beyond the 5-inch diameter threshold and then are subject to harvest or
natural mortality before the remeasurement period. In other words,
rFIA recruitment does not include trees corresponding to
FIA growth components of CUT2 and MORTALITY2.standStruct() documentation that
incorrectly said the lower diameter for Pole class was set at 11cm while
it is in fact set at 12.7cm (5in).plotFIA() regarding the
error bars produced when se = TRUE. These are 95%
confidence intervals, not 68% confidence intervals.vegStruct() on reporting of
estimates by canopy layer and growth habit.REF_SPECIES table from FIADB, which provides access to the
CARBON_RATIO_LIVE attribute for using the NSVB
species-specific carbon fractions.method = 'EMA'.writeFIA() to allow users to write database
tables by state when only a subset of the table is originally read into
R. This currently requires either the PLOT or COND tables to be read
in.plotFIA() that led to an error in
animated plots when gganimate was not loaded (note that
gganimate still needs to be installed).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.