To calculate the phenology based on station data,
phenology()
should be called with a data frame as input. It
should have a date
column whose values need to be
interpretable by as.Date()
, and a station
column that specifies the name of the respective station. Additional
columns provide the actual parameters used by the model. This vignette
uses the station data provided by barrks
as sample
data.
station_data <- barrks_data('stations')
head(station_data, 10)
#> # A tibble: 10 x 9
#> date station tmean tmin tmax rad sunrise sunset daylength
#> <date> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2011-01-01 Freiburg 0.1 -0.4 0.7 228. 499 1006 8.45
#> 2 2011-01-02 Freiburg -0.1 -3.4 2.2 642. 499 1007 8.47
#> 3 2011-01-03 Freiburg -3.4 -8.4 0.3 1708. 499 1008 8.48
#> 4 2011-01-04 Freiburg -3.7 -7.6 -1.4 1194. 499 1009 8.5
#> 5 2011-01-05 Freiburg -2.2 -6.5 2.4 1639. 499 1010 8.52
#> 6 2011-01-06 Freiburg 7.8 -2.6 12.8 356. 499 1011 8.53
#> 7 2011-01-07 Freiburg 11.5 9.1 14.9 336. 498 1012 8.57
#> 8 2011-01-08 Freiburg 12.8 7.7 16.2 736. 498 1013 8.58
#> 9 2011-01-09 Freiburg 8.7 4 13.3 169. 498 1015 8.62
#> 10 2011-01-10 Freiburg 2.9 1.9 4.1 397. 497 1016 8.65
To illustrate the beetle development at a specific station,
plot_development_diagram()
is used. It is possible to add
several phenology objects to the plot that will be displayed as lines.
The area between the lines of the particular generations will be filled
if the respective generation appears in all phenology objects.
# calculate phenology with different parameters
pheno_sunny <- phenology('phenips-clim', station_data, exposure = 'sunny')
pheno_shaded <- phenology('phenips-clim', station_data, exposure = 'shaded')
pheno_last <- phenology('phenips-clim', station_data, exposure = 'shaded',
onset_mode = 0.9)
#> Error in (function (classes, fdef, mtable) : kann keine vererbte Methode finden für Funktion 'nlyr<-' für Signatur '"SpatRaster", "NULL"'