Incorrect month order in zApply function
Ben, You're right about a mistake in my code but it is not use of ordered function. It is that I shouldn't have used the name argument. Following your example this is what I get:
m <- function(x) ordered(months(x), labels=month.name) x1 <- zApply(s, by=m, mean) # no name argument. x1
# class : RasterBrick # dimensions : 5, 5, 25, 12 (nrow, ncol, ncell, nlayers) # resolution : 72, 36 (x, y) # extent : -180, 180, -90, 90 (xmin, xmax, ymin, ymax) # coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 # data source : in memory # names : January, February, March, April, May, June, July, August, September, October, November, December # min values : 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 # max values : 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 # : January, February, March, April, May, June, July, August, September, October, November, December Thanks for pointing out the mistake, Vijay.
On Fri, Jul 29, 2016 at 7:17 PM, Ben Tupper <btupper at bigelow.org> wrote:
Hi,
I reworked your example a bit so that it encompasses just one year, and
the value of each layer is the month number for the Z index. Sure enough,
the mean month number values look like they are mismatched relative to the
layer name. Example below - sorry about line-wrapping. Uhoh.
Cheers,
Ben
library(raster)
# Create date sequence
idx <- seq(as.Date("1996/1/1"), as.Date("1996/12/31"), by = "day")
mon_num <- as.numeric(format(idx, "%m"))
# Create raster stack and assign dates
r <- raster(ncol=5, nrow=5)
s <- stack(
lapply(1:length(idx),
function(x) setValues(r, rep(mon_num[x],ncell(r)))
)
)
s <- setZ(s, idx)
# Calculate monthly average
x <- zApply(s, by=months, mean, name=month.abb[])
x
# class : RasterBrick
# dimensions : 5, 5, 25, 12 (nrow, ncol, ncell, nlayers)
# resolution : 72, 36 (x, y)
# extent : -180, 180, -90, 90 (xmin, xmax, ymin, ymax)
# coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
# data source : in memory
# names : April, August, December, February, January, July, June,
March, May, November, October, September
# min values : 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12
# max values : 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12
sessionInfo()
R version 3.3.1 (2016-06-21) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: OS X 10.11.6 (El Capitan) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] raster_2.5-8 sp_1.2-3 loaded via a namespace (and not attached): [1] rgdal_1.1-10 Rcpp_0.12.6 grid_3.3.1 lattice_0.20-33
On Jul 29, 2016, at 3:20 PM, Thiago V. dos Santos via R-sig-Geo <
r-sig-geo at r-project.org> wrote:
Thanks everyone for their suggestions. Reordering the output of zApply would be a WRONG solution, because the
layers are already ordered from Jan to Dec.
It is just the NAMES that are misaligned, which can cause a bit of
confusion.
I already contacted Robert about this issue and we should see a solution
soon.
Greetings, -- Thiago V. dos Santos PhD student Land and Atmospheric Science University of Minnesota On Friday, July 29, 2016 2:09 PM, Kay Kilpatrick <
kkilpatrick at rsmas.miami.edu> wrote:
Hi The various Apply functions always return the output in simple alphabetical order when the factor label is a character, regardless of the order of the factor in the calling argument. Ben had a correct solution --- simply reorder the output from Zapply. Alternatively you could use a numeric representation for the month label using by = as.numeric(months(x). The output would then be in increasing numeric order from 1 -12. I do not believe Vijay's suggestion is proper. It does not reorder the output --- instead it changes the label of a given monthly mean eg. The value for Jan. would then be labeled as Apr. k On 7/28/16 10:52 PM, Thiago V. dos Santos via R-sig-Geo wrote:
Dear all, I am using the raster package to calculate monthly averages of climatic
variables.
Essentially, this is the function I use:
library(raster)
# Create date sequence
idx <- seq(as.Date("1996/1/1"), as.Date("2010/12/31"), by = "day")
# Create raster stack and assign dates
r <- raster(ncol=5, nrow=5)
s <- stack(lapply(1:length(idx), function(x) setValues(r,
runif(ncell(r)))))
s <- setZ(s, idx) # Calculate monthly average x <- zApply(s, by=months, mean, name=month.abb[]) names(x) [1] "April" "August" "December" "February" "January" "July" "June" [8] "March" "May" "November" "October" "September" getZ(x) [1] "April" "August" "December" "February" "January" "July" "June" [8] "March" "May" "November" "October" "September" The problem here is the output of both names(x) and getZ(x). It looks
like a random month order is returned (even though I provide the labels), which makes me confused about the results.
By performing the same calculation in a different software and
comparing the results, I came to realize that the order of months for the results by raster should, in fact, be Jan-Feb-Mar-Apr-May-Jun-Jul-Aug-Sep-Oct-Nov-Dec
How can I control the way raster delivers the object names after using
zApply, in order to sort the months in the "natural" order?
Greetings, -- Thiago V. dos Santos PhD student Land and Atmospheric Science University of Minnesota
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