The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
sapfluxnetr provides tools for a tidy data analysis for
the first global database of sap flow measurements (Sapfluxnet Project)
You can work with individual sites:
# load packages
library(sapfluxnetr)
library(ggplot2)
# ARG_MAZ example site data
data('ARG_MAZ', package = 'sapfluxnetr')
data('sfn_metadata_ex', package = 'sapfluxnetr')
# plot site sapflow measurements versus vpd
sfn_plot(ARG_MAZ, formula_env = ~ vpd)
# daily sapflow and environmental metrics
arg_maz_metrics <- daily_metrics(
ARG_MAZ, tidy = TRUE, metadata = sfn_metadata_ex
)
#> [1] "Crunching data for ARG_MAZ. In large datasets this could take a while"
#> [1] "General data for ARG_MAZ"
# plot daily aggregations
ggplot(arg_maz_metrics, aes(x = vpd_q_95, y = sapflow_q_95, colour = pl_code)) +
geom_point()
You can work with multiple sites also:
# ARG_TRE and AUS_CAN_ST2_MIX example sites
data('ARG_TRE', package = 'sapfluxnetr')
data('AUS_CAN_ST2_MIX', package = 'sapfluxnetr')
multi_sfn <- sfn_data_multi(ARG_TRE, ARG_MAZ, AUS_CAN_ST2_MIX)
# plotting the individual sites. It creates a list of plots
plots_list <- sfn_plot(multi_sfn, formula_env = ~ vpd)
plots_list[['AUS_CAN_ST2_MIX']]
#> Warning: Removed 526066 rows containing missing values (geom_point).
# daily sapflow standard metrics
multi_metrics <- daily_metrics(
multi_sfn, tidy = TRUE, metadata = sfn_metadata_ex
)
#> [1] "Crunching data for ARG_TRE. In large datasets this could take a while"
#> [1] "General data for ARG_TRE"
#> [1] "Crunching data for ARG_MAZ. In large datasets this could take a while"
#> [1] "General data for ARG_MAZ"
#> [1] "Crunching data for AUS_CAN_ST2_MIX. In large datasets this could take a while"
#> [1] "General data for AUS_CAN_ST2_MIX"
# plot daily aggregations
ggplot(multi_metrics, aes(x = vpd_q_95, y = sapflow_q_95, colour = si_code)) +
geom_point(alpha = 0.2)
#> Warning: Removed 10966 rows containing missing values (geom_point).
You can install sapfluxnetr from CRAN:
install.packages('sapfluxnetr')Be advised, sapfluxnetr is in active development and can
contain undiscovered bugs. If you find something not working as expected
fill a bug at https://github.com/sapfluxnet/sapfluxnetr/issues
Please see
vignette('sapfluxnetr-quick-guide', package = 'sapfluxnetr')
for a detailed overview of the package capabilities.
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.