## ----setup, include=FALSE, cache=FALSE--------------- library(knitr) # Are the packages used in examples installed? eval_chunks <- requireNamespace("ggspectra", quietly = TRUE) && requireNamespace("photobiologyWavebands", quietly = TRUE) # eval_colorSpec <- requireNamespace("colorSpec", quietly = TRUE) && eval_chunks eval_colorSpec <- eval_chunks eval_pavo <- requireNamespace("pavo", quietly = TRUE) && eval_chunks eval_hyperSpec <- requireNamespace("hyperSpec", quietly = TRUE) && eval_chunks opts_chunk$set(fig.align='center', fig.show='hold', fig.width=7, fig.height=6, size="footnotesize", eval=eval_chunks) options(replace.assign = TRUE, width = 55, warnPartialMatchAttr = FALSE, warnPartialMatchDollar = FALSE, warnPartialMatchArgs = FALSE) # setting TZ may be needed in some geographic locations as some Windows TZ # strings are not recognized by all versions of R Sys.setenv(TZ = 'UTC') ## ----message=FALSE----------------------------------- library(photobiology) library(photobiologyWavebands) library(photobiologyInOut) library(lubridate) library(ggspectra) library(readr) library(colorSpec) if (eval_pavo) {library(pavo)} if (eval_hyperSpec) {library(hyperSpec)} ## ---------------------------------------------------- # plot defaults theme_set(theme_bw()) # ggplot2 set_annotations_default(annotations = c("+", "title:what:when")) # decrease lines printed options(tibble.print_max = 5, tibble.print_min = 3, photobiology.strict.range = NA_integer_) ## ---------------------------------------------------- jaz.raw.file <- system.file("extdata", "spectrum.jaz", package = "photobiologyInOut", mustWork = TRUE) jazraw.spct <- read_oo_jazdata(file = jaz.raw.file) jazraw.spct <- trim_wl(jazraw.spct, range = c(250, 900)) ## ---------------------------------------------------- autoplot(jazraw.spct) ## ---------------------------------------------------- getWhenMeasured(jazraw.spct) ## ---------------------------------------------------- getInstrDesc(jazraw.spct) ## ---------------------------------------------------- getInstrSettings(jazraw.spct) ## ---------------------------------------------------- jaz.s.irrad.file <- system.file("extdata", "spectrum.JazIrrad", package = "photobiologyInOut", mustWork = TRUE) jaz.spct <- read_oo_jazirrad(file = jaz.s.irrad.file) jaz0.spct <- jaz.spct jaz.spct <- trim_wl(jaz.spct, range = c(290, 800)) ## ---------------------------------------------------- autoplot(jaz.spct) ## ---------------------------------------------------- jaz.spct <- fshift(jaz0.spct, range = c(255, 290), f = "mean") jaz.spct <- trim_wl(jaz.spct, range = c(290, 800)) autoplot(jaz.spct) ## ---------------------------------------------------- jaz.spct <- smooth_spct(jaz.spct) autoplot(jaz.spct) ## ---------------------------------------------------- e_irrad(jaz.spct, PAR()) # W m-2 ## ---------------------------------------------------- autoplot(read_oo_jazirrad(file = jaz.s.irrad.file)) ## ---------------------------------------------------- autoplot(read_oo_jazirrad(file = jaz.s.irrad.file), range = c(250,850)) ## ---------------------------------------------------- autoplot(smooth_spct(read_oo_jazirrad(file = jaz.s.irrad.file)), range = c(250,850)) ## ---------------------------------------------------- q.raw.file <- system.file("extdata", "spectrum.SSIrrad", package = "photobiologyInOut", mustWork = TRUE) autoplot(read_oo_ssirrad(file = q.raw.file)) ## ---------------------------------------------------- file.name <- system.file("extdata", "enlighten-wasatch-scope.csv", package = "photobiologyInOut", mustWork = TRUE) wasatch.raw.spct <- read_wasatch_csv(file = file.name, extra.cols = "drop") ## ---------------------------------------------------- summary(wasatch.raw.spct) ## ---------------------------------------------------- autoplot(wasatch.raw.spct) ## ---------------------------------------------------- ava.raw.file <- system.file("extdata", "spectrum-avaspec.csv", package = "photobiologyInOut", mustWork = TRUE) autoplot(read_avaspec_csv(file = ava.raw.file), range = c(280, 900), unit.out = "photon") ## ---------------------------------------------------- macam.raw.file <- system.file("extdata", "spectrum.DTA", package = "photobiologyInOut", mustWork = TRUE) autoplot(read_macam_dta(file = macam.raw.file)) ## ---------------------------------------------------- licor_espd.file <- system.file("extdata", "LI-180-irradiance.txt", package = "photobiologyInOut", mustWork = TRUE) li180.spct <- read_li180_txt(file = licor_espd.file) ## ---------------------------------------------------- li180.spct cat(comment(li180.spct)) getInstrDesc(li180.spct) getInstrSettings(li180.spct) autoplot(li180.spct, unit.out = "photon") ## ---------------------------------------------------- licor.file <- system.file("extdata", "spectrum.PRN", package = "photobiologyInOut", mustWork = TRUE) licor.spct <- read_licor_prn(file = licor.file, tz = "EET") ## ---------------------------------------------------- licor.spct cat(comment(licor.spct)) autoplot(licor.spct, unit.out = "photon") ## ---------------------------------------------------- licor.file <- system.file("extdata", "reflectance.PRN", package = "photobiologyInOut", mustWork = TRUE) licor.spct <- read_licor_prn(file = licor.file, s.qty = "Rfr") ## ---------------------------------------------------- licor.spct cat(comment(licor.spct)) autoplot(licor.spct) ## ---------------------------------------------------- file.name <- system.file("extdata", "spectrum-psi-spectrapen-SP.csv", package = "photobiologyInOut", mustWork = TRUE) psi.mspct <- read_spectrapen_csv(file = file.name, tz = "UTC") summary(psi.mspct) autoplot(psi.mspct, annotations = "") ## ---------------------------------------------------- summary(psi.mspct[["spct.14"]]) autoplot(psi.mspct[["spct.14"]]) ## ---------------------------------------------------- file.name <- system.file("extdata", "cid-spectravue-Rpc-Measurements.csv", package = "photobiologyInOut", mustWork = TRUE) cid_Rpc.spct <- read_cid_spectravue_csv(file = file.name) summary(cid_Rpc.spct) autoplot(smooth_spct(cid_Rpc.spct, method = "supsmu"), range = c(400, 1000), annotations = "") %+% ylim(0, 0.55) ## ---------------------------------------------------- cs.day.file <- system.file("extdata", "cr6-day.dat", package = "photobiologyInOut", mustWork = TRUE) ## ----eval=FALSE-------------------------------------- # # not run # read_lines(yoctopuce_hour.file, n_max = 10) ## ---------------------------------------------------- day.dat <- read_csi_dat(file = cs.day.file) day.dat ## ---------------------------------------------------- cs_hour.file <- system.file("extdata", "cr6-hour.dat", package = "photobiologyInOut", mustWork = TRUE) hour.dat <- read_csi_dat(file = cs_hour.file) ggplot(hour.dat, aes(TIMESTAMP, PAR_Den_Avg)) + geom_line() ## ---------------------------------------------------- yoctopuce_hour.file <- system.file("extdata", "yoctopuce-data.csv", package = "photobiologyInOut", mustWork = TRUE) ## ----eval=FALSE-------------------------------------- # # not run # read_lines(yoctopuce_hour.file, n_max = 10) ## ---------------------------------------------------- hour.dat <- read_yoctopuce_csv(file = yoctopuce_hour.file) ggplot(hour.dat, aes(ISO.time, temperature.avg)) + geom_line() ## ---------------------------------------------------- tuv.file <- system.file("extdata", "usrout.txt", package = "photobiologyInOut", mustWork = TRUE) tuv.spct <- read_tuv_usrout(file = tuv.file, date = ymd("2014-03-21")) summary(subset(tuv.spct, spct.idx == "A")) tuv.spct ## ----fig.height=10----------------------------------- autoplot(tuv.spct, annotations = c("colour.guide")) + facet_wrap(~as.character(date), ncol = 2) ## ---------------------------------------------------- tuv.mspct <- subset2mspct(tuv.spct) summary(tuv.mspct) autoplot(tuv.mspct) ## ---------------------------------------------------- tuv_nd.spct <- read_tuv_usrout(file = tuv.file) when_measured(tuv_nd.spct) ## ---------------------------------------------------- qtuv.file <- system.file("extdata", "qtuv.txt", package = "photobiologyInOut", mustWork = TRUE) qtuv.spct <- read_qtuv_txt(file = qtuv.file) summary(qtuv.spct) qtuv.spct ## ---------------------------------------------------- uvspec.2col.file <- system.file("extdata", "uvspec-plain-2col.dat", package = "photobiologyInOut", mustWork = TRUE) lrt.df <- read.table(file = uvspec.2col.file, col.names = c("w.length", "s.e.irrad")) uvspec.01.spct <- source_spct(w.length = lrt.df$w.length, s.e.irrad = lrt.df$s.e.irrad * 1e-3) summary(uvspec.01.spct) cat(comment(uvspec.01.spct)) autoplot(uvspec.01.spct, range = c(250, 2500), unit.out = "photon") ## ---------------------------------------------------- uvspec.disort.file <- system.file("extdata", "uvspec-disort.dat", package = "photobiologyInOut", mustWork = TRUE) uvspec.02.spct <- read_uvspec_disort(uvspec.disort.file) summary(uvspec.02.spct) cat(comment(uvspec.02.spct)) autoplot(uvspec.02.spct, unit.out = "photon") ## ---------------------------------------------------- ggplot(uvspec.02.spct) + geom_line() + geom_line(aes(y = s.e.irrad.diff), linetype = "dashed") ## ---------------------------------------------------- uvspec.disort.inp.file <- system.file("extdata", "uvspec-disort.inp", package = "photobiologyInOut", mustWork = TRUE) comment(uvspec.02.spct) <- paste(comment(uvspec.02.spct), read_file(uvspec.disort.inp.file), sep = "\n\n") cat(comment(uvspec.02.spct)) ## ---------------------------------------------------- uvspec.multi.file <- system.file("extdata", "uvspec-multi.dat", package = "photobiologyInOut", mustWork = TRUE) lbr.multi.spct <- read_uvspec_disort_vesa(uvspec.multi.file) print(lbr.multi.spct, n = 5) ## ---------------------------------------------------- fmi.file <- system.file("extdata", "2014-08-21_cum.hel", package = "photobiologyInOut", mustWork = TRUE) z.spct <- read_fmi_cum(fmi.file) class_spct(z.spct) getWhenMeasured(z.spct) z.spct ## ---------------------------------------------------- fmi.files <- system.file("extdata", c("2014-08-21_cum.hel", "2014-08-21_cum.hel"), package = "photobiologyInOut", mustWork = TRUE) z.mspct <- read_m_fmi_cum(fmi.files) class(z.mspct) getWhenMeasured(z.mspct) z.mspct ## ----eval=FALSE-------------------------------------- # fmi.files <- list.files(".", "*cum.hel") # fmi.files <- paste(".", fmi.files, sep = "") # z1.mspct <- read_m_fmi_cum(fmi.files) # class(z1.mspct) # getWhenMeasured(z1.mspct) # z1.mspct ## ----message=FALSE----------------------------------- # because of Google's query limits call will frequently fail without a key # my.geocode <- ggmap::geocode("Kumpula, Helsinki, Finland", source = "google") my.geocode <- data.frame(lon = 24.96474, lat = 60.20911) z2.mspct <- read_m_fmi_cum(fmi.files, geocode = my.geocode) class(z2.mspct) getWhenMeasured(z2.mspct) getWhereMeasured(z2.mspct) z2.mspct ## ---------------------------------------------------- fmi.file <- system.file("extdata", "2013-05-01.hel", package = "photobiologyInOut", mustWork = TRUE) z3.mspct <- read_fmi2mspct(fmi.file) class(z3.mspct)[1:2] getWhenMeasured(z3.mspct[[1]]) length(z3.mspct) names(z3.mspct) getWhenMeasured(z3.mspct[[1]]) getWhatMeasured(z3.mspct[[1]]) ## ---------------------------------------------------- fred.file <- system.file("extdata", "FReDflowerID_157.csv", package = "photobiologyInOut", mustWork = TRUE) fred.spct <- read_FReD_csv(file = fred.file, label = "Gazania heterochaeta", geocode = data.frame(lat = -28.8751, lon = 17.2293)) ## ---------------------------------------------------- fred.spct cat(comment(fred.spct)) autoplot(fred.spct) ## ---------------------------------------------------- aster.file <- system.file("extdata", "drygrass-spectrum.txt", package = "photobiologyInOut", mustWork = TRUE) aster.spct <- read_ASTER_txt(file = aster.file) ## ---------------------------------------------------- aster.spct cat(comment(aster.spct)) autoplot(aster.spct) ## ----eval=eval_hyperSpec----------------------------- z2.hspct <- mspct2hyperSpec(z2.mspct, "s.e.irrad") class(z2.hspct) # plot(z2.hspct) ## ----eval=eval_hyperSpec----------------------------- data(laser) class(laser) laser plot(laser) ## ----eval=eval_hyperSpec----------------------------- wl(laser) <- list ( wl = 1e7 / (1/405e-7 - wl (laser)), label = expression (lambda / nm) ) laser plot(laser) laser.mspct <- hyperSpec2mspct(laser, "source_spct", "s.e.irrad", multiplier = 1e-3) ggplot(laser.mspct[[1]]) + geom_line() + stat_peaks(geom = "text", vjust = -1, label.fmt = "%.6g nm", color = "red") ## ----eval = eval_colorSpec--------------------------- # bug that needs to be fixed fluorescent.mspct <- colorSpec2mspct(colorSpec::Fs.5nm) print(fluorescent.mspct, n = 3, n.members = 3) ## ----eval = eval_colorSpec--------------------------- colorSpec2mspct(colorSpec::Hoya) ## ----eval = eval_colorSpec--------------------------- fluorescent.spct <- colorSpec2spct(colorSpec::Fs.5nm) autoplot(fluorescent.spct, annotations = "") ## ----eval = eval_colorSpec--------------------------- colorSpec2chroma_spct(colorSpec::xyz1931.5nm) ## ----eval = eval_colorSpec--------------------------- sun.cspec <- spct2colorSpec(sun.spct) plot(sun.cspec, col = "blue") ## ----eval = eval_colorSpec--------------------------- spct2colorSpec(yellow_gel.spct) ## ----eval = eval_colorSpec--------------------------- chroma_spct2colorSpec(beesxyzCMF.spct) ## ---------------------------------------------------- spct_CCT(white_led.source_spct) # correlated color temperature spct_CRI(white_led.source_spct) # color rendition index spct_CRI(white_led.source_spct, named = TRUE) spct_SSI(white_led.source_spct, sun.spct) # spectral similarity index ## ----eval = eval_pavo-------------------------------- data(sicalis) class(sicalis) names(sicalis) ## ----eval = eval_pavo-------------------------------- sicalis.mspct <- rspec2mspct(sicalis, "reflector_spct", "Rpc") summary(sicalis.mspct[[1]]) summary(sicalis.mspct[[2]]) summary(sicalis.mspct[[3]]) ## ----eval = eval_pavo-------------------------------- ggplot(rbindspct(sicalis.mspct[1:3])) + aes(linetype = spct.idx) + ylim(0,0.3) + geom_line() ## ----eval = eval_pavo-------------------------------- print(sicalis.mspct[c(TRUE, FALSE, FALSE)]) ggplot(rbindspct(sicalis.mspct[c(TRUE, FALSE, FALSE)])) + aes(linetype = spct.idx) + ylim(0,0.15) + geom_line() + ggtitle("'crown' reflectance spectra") ## ----eval = eval_pavo-------------------------------- refl.by.band <- reflectance(sicalis.mspct, w.band = list(Red(), Green(), Blue(), UVA())) refl.by.band$body.part <- rep(c("crown", "throat", "breast"), 7) ## ----eval = eval_pavo-------------------------------- refl.red <- reflectance(sicalis.mspct, w.band = Red()) names(refl.red)[2] <- "red.reflectance" refl.red$body.part <- rep(c("crown", "throat", "breast"), 7) ggplot(refl.red, aes(x = body.part, y = red.reflectance)) + stat_summary(fun.data = "mean_se", color = "red") + geom_point(alpha = 0.5) ## ---------------------------------------------------- jaz.irrad.comma.file <- system.file("extdata", "spectrum-comma.JazIrrad", package = "photobiologyInOut", mustWork = TRUE) my.locale <- locale(decimal_mark = ",", tz = "EET") jaz00.spct <- read_oo_jazirrad(file = jaz.irrad.comma.file, locale = my.locale) ## ---------------------------------------------------- jaz00.spct ## ---------------------------------------------------- jaz.s.irrad.file <- system.file("extdata", "spectrum.JazIrrad", package = "photobiologyInOut", mustWork = TRUE) ## ----warning=FALSE----------------------------------- jaz01.spct <- read_oo_jazirrad(file = jaz.s.irrad.file, date = NULL) getWhenMeasured(jaz01.spct) ## ----warning=FALSE----------------------------------- jaz02.spct <- read_oo_jazirrad(file = jaz.s.irrad.file, date = ymd_hms("2015-11-15 12:00:00")) getWhenMeasured(jaz02.spct) ## ----warning=FALSE----------------------------------- jaz03.spct <- read_oo_jazirrad(file = jaz.s.irrad.file, date = now()) getWhenMeasured(jaz03.spct) ## ----message=FALSE,warning=FALSE--------------------- my.geocode <- data.frame(lon = 25.02006, lat = 60.22525) jaz04.spct <- read_oo_jazirrad(file = jaz.s.irrad.file, geocode = my.geocode) jaz04.spct getWhereMeasured(jaz04.spct)