read_fmi2mspct {photobiologyInOut} | R Documentation |
Read multiple solar spectra from a data file.
Description
Read spectral irradiance file as output by Anders Lindors' model based on libRadTrans for hourly simulation, or measured data from FMI's Brewer spectrometer.
Usage
read_fmi2mspct(
file,
scale.factor = 0.001,
geocode = NULL,
what.measured = NULL,
how.measured = NULL,
date.field = 2L,
time.field = 3L,
date.format = "ymd",
time.format = "hms",
tz = NULL,
time.shift.min = 0,
locale = readr::default_locale(),
.skip = 0,
.n_max = -1
)
Arguments
file |
Either a path to a file, a connection, or literal data (either a single string or a raw vector). |
scale.factor |
numeric A multiplier to be applied to the spectral irradiance values. |
geocode |
A data frame with columns |
what.measured |
character string, but if |
how.measured |
character string, but if |
date.field , time.field |
integer. Word positions in the header line. |
date.format |
character string. One of "ymd", "ydm", "dmy", or "mdy". |
time.format |
character string. One of "hms", "hm". |
tz |
character Time zone used for interpreting times saved in the file header. |
time.shift.min |
numeric. Time shift with respect to TZ in minutes. |
locale |
The locale controls defaults that vary from place to place. The
default locale is US-centric (like R), but you can use
|
.skip |
Number of lines to skip before reading data. |
.n_max |
Maximum number of records to read. |
Value
read_fmi2mspct()
returns a source_mspct
object
containing source_spct
objects as members, time.unit
attribute set to "second"
and when.measured
attribute set to
the date-time values extracted from the file body.
Note
See read_table
for details of acceptable values
for file
. Individual spectra are names based on time and date in
ISO format, at the time zone given by tz
but the time shift
subtracted. Say for times expressed in headers at UTC + 120 min, we use
tz = UTC
and time.shift.min = 120 to convert times to UTC. This
is different from using tz = EET
, which is not invariant through
the course of the year because of daylight saving time. Local time zones is
not necessarily consistent across years because of changes in legislation.
In contrast UTC is more consistent, making it preferable for time series.