download_phenocam: Downloads PhenoCam time series

In phenocamr: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing

Downloads PhenoCam time series

Description

This is a wrapper around most of all the other functions. It downloads a time series and extract relevant phenological transition dates or phenophases.

Usage

download_phenocam(
  site = "harvard$",
  veg_type = NULL,
  frequency = "3",
  roi_id = NULL,
  outlier_detection = TRUE,
  smooth = TRUE,
  contract = FALSE,
  daymet = FALSE,
  trim_daymet = TRUE,
  trim = NULL,
  phenophase = FALSE,
  out_dir = tempdir(),
  internal = FALSE
)

Arguments

site	the site name, as mentioned on the PhenoCam web page expressed as a regular expression ("harvard$" == exact match)
veg_type	vegetation type (DB, EN, ... default = ALL)
frequency	frequency of the time series product (1, 3, "roistats")
roi_id	the id of the ROI to download (default = ALL)
outlier_detection	TRUE or FALSE, detect outliers
smooth	smooth data (logical, default is TRUE)
contract	contract 3-day data (logical, default is TRUE)
daymet	TRUE or FALSE, merges the daymet data
trim_daymet	TRUE or FALSE, trims data to match PhenoCam data
trim	year (numeric) to which to constrain the output (default = NULL)
phenophase	logical, calculate transition dates (default = FALSE)
out_dir	output directory where to store downloaded data (default = tempdir())
internal	allow for the data element to be returned to the workspace

Value

Downloaded files in out_dir of requested time series products, as well as derived phenophase estimates based upon these time series.

Examples

## Not run: 
# download the first ROI time series for the Harvard PhenoCam site
# at an aggregation frequency of 3-days.
download_phenocam(site = "harvard$",
                  veg_type = "DB",
                  roi_id = "1000",
                  frequency = "3")
 
# read phenocam data into phenocamr data structure                  
df <- read_phenocam(file.path(tempdir(),"harvard_DB_1000_3day.csv"))
                  

## End(Not run)

phenocamr documentation built on July 21, 2022, 1:06 a.m.