amf_plot_datayear: Plot data availability
In amerifluxr: Interface to 'AmeriFlux' Data Services

Description Usage Arguments Value See Also Examples

This function visualizes the BASE data availability for selected AmeriFlux sites, variables, and years. This is a wrapper around amf_list_data. However, it is strongly advised to subset the sites, variables, and/or years for faster processing and better visualization.

amf_plot_datayear(
  data_aval = NULL,
  site_set = NULL,
  var_set = NULL,
  nonfilled_only = TRUE,
  year_set = NULL
)

`data_aval`	A data frame with at least five columns: SITE_ID: VARIABLE: BASENAME: variable basename GAP_FILLED Y1990: Percentage of data availability in the year 1990 (0-1). ... If not specified, use `amf_list_data` by default.
`site_set`	A scalar or vector of character specifying the target AmeriFlux Site ID (CC-Sss). If not specified, it returns all sites.
`var_set`	A scalar or vector of character specifying the target variables as in basename. See AmeriFlux pagehttps://ameriflux.lbl.gov/data/aboutdata/data-variables/#base for a list of variable names. If not specified, it returns all variables.
`nonfilled_only`	Logical, whether only showing non-filled variables, or both non- and gap-filled variables. The default is TRUE.
`year_set`	A scalar or vector of integers. If not specified, it plots only years with any available data in selected sites and variables

An object of class 'plotly' from heatmaply

amf_list_data, heatmaply

## Not run: 
# plot data availability for all variables at a single site
#  in all years
amf_plot_datayear(site_set = "US-CRT",
                  nonfilled_only = FALSE)

# plot data availability for non-filled FCH4 and WTD at all
#  sites in all years
amf_plot_datayear(var_set = c("FCH4", "WTD"),
                  nonfilled_only = TRUE)

# plot data availability for non-filled FCH4 at all sites
#  in 2018-2020
amf_plot_datayear(var_set = "FCH4",
                  year_set = c(2018:2020),
                  nonfilled_only = TRUE)

## End(Not run)