read_fmi2mspct | R Documentation |
Read spectral irradiance file as output by Anders Lindors' model based on libRadTrans for hourly simulation, or measured data from FMI's Brewer spectrometer.
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
)
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. |
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.
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.
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