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Biweekly time series for raster stack in r
The Next CEO of Stack OverflowRelative areas projection independent?How to read *.adf files into R?Processing vector to raster faster with RConverting .adf raster from UTM to lat/long without UTM zones in Rre: Grid Issue with environmental data-frame in RExport RGB data (from a tiff image) in excel formatAccess to attribute in rasterlayer in ROpening rotated raster in RRaster alignment doesn't produce aligned resultsUsing raster stack function time in R?
I have a netcdf file with daily data and I calculate for each week some statistics, using the "apply.weekly" command in the "xts" library. However, I would like to calculate bi-weekly statistics, using daily data from every two weeks as input. How could i do this in R?
library("ncdf4")
library("rts")
library("xts")
#
prec = stack("pr.nc")
#
prec
#
class : RasterStack
dimensions : 12, 19, 228, 365 (nrow, ncol, ncell, nlayers)
resolution : 0.125, 0.125 (x, y)
extent : 21.75, 24.125, 39.875, 41.375 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
names : X2018.01.01, X2018.01.02, X2018.01.03, X2018.01.04, X2018.01.05, X2018.01.06, X2018.01.07, X2018.01.08, X2018.01.09, X2018.01.10, X2018.01.11, X2018.01.12, X2018.01.13, X2018.01.14, X2018.01.15, ...
min values : 1.062151e-13, 1.080165e-13, 1.061332e-13, 1.757816e-02, 4.101618e-02, 3.535164e-01, 2.539131e-02, 2.674782e-02, 1.932025e-02, 2.027835e-05, 2.576398e-06, 6.366093e-13, 7.227548e-05, 1.345976e-04, 2.202405e-08, ...
max values : 7.53125000, 0.69336098, 0.09375487, 9.00326061, 23.77886200, 16.37112999, 6.83587980, 4.03569651, 21.04327393, 6.23503065, 3.15138841, 1.24927104, 4.46353579, 3.46504283, 4.42247295, ...
#
indices = seq.Date(min(as.Date("2018-1-1")), max(as.Date("2018-12-31")), by="day")
#
prec_rt = rts(prec, indices)
#
rr_2018_weekly_sum = apply.weekly(prec_rt, sum)
raster r stack
asked 2 days ago
Maria KarypidouMaria Karypidou
163
add a comment |
I have a netcdf file with daily data and I calculate for each week some statistics, using the "apply.weekly" command in the "xts" library. However, I would like to calculate bi-weekly statistics, using daily data from every two weeks as input. How could i do this in R?
library("ncdf4")
library("rts")
library("xts")
#
prec = stack("pr.nc")
#
prec
#
class : RasterStack
dimensions : 12, 19, 228, 365 (nrow, ncol, ncell, nlayers)
resolution : 0.125, 0.125 (x, y)
extent : 21.75, 24.125, 39.875, 41.375 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
names : X2018.01.01, X2018.01.02, X2018.01.03, X2018.01.04, X2018.01.05, X2018.01.06, X2018.01.07, X2018.01.08, X2018.01.09, X2018.01.10, X2018.01.11, X2018.01.12, X2018.01.13, X2018.01.14, X2018.01.15, ...
min values : 1.062151e-13, 1.080165e-13, 1.061332e-13, 1.757816e-02, 4.101618e-02, 3.535164e-01, 2.539131e-02, 2.674782e-02, 1.932025e-02, 2.027835e-05, 2.576398e-06, 6.366093e-13, 7.227548e-05, 1.345976e-04, 2.202405e-08, ...
max values : 7.53125000, 0.69336098, 0.09375487, 9.00326061, 23.77886200, 16.37112999, 6.83587980, 4.03569651, 21.04327393, 6.23503065, 3.15138841, 1.24927104, 4.46353579, 3.46504283, 4.42247295, ...
#
indices = seq.Date(min(as.Date("2018-1-1")), max(as.Date("2018-12-31")), by="day")
#
prec_rt = rts(prec, indices)
#
rr_2018_weekly_sum = apply.weekly(prec_rt, sum)
raster r stack
asked 2 days ago
Maria KarypidouMaria Karypidou
163
use period.apply() to specify periods other than days, weeks, months
– JepsonNomad
2 days ago
add a comment |
I have a netcdf file with daily data and I calculate for each week some statistics, using the "apply.weekly" command in the "xts" library. However, I would like to calculate bi-weekly statistics, using daily data from every two weeks as input. How could i do this in R?
library("ncdf4")
library("rts")
library("xts")
#
prec = stack("pr.nc")
#
prec
#
class : RasterStack
dimensions : 12, 19, 228, 365 (nrow, ncol, ncell, nlayers)
resolution : 0.125, 0.125 (x, y)
extent : 21.75, 24.125, 39.875, 41.375 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
names : X2018.01.01, X2018.01.02, X2018.01.03, X2018.01.04, X2018.01.05, X2018.01.06, X2018.01.07, X2018.01.08, X2018.01.09, X2018.01.10, X2018.01.11, X2018.01.12, X2018.01.13, X2018.01.14, X2018.01.15, ...
min values : 1.062151e-13, 1.080165e-13, 1.061332e-13, 1.757816e-02, 4.101618e-02, 3.535164e-01, 2.539131e-02, 2.674782e-02, 1.932025e-02, 2.027835e-05, 2.576398e-06, 6.366093e-13, 7.227548e-05, 1.345976e-04, 2.202405e-08, ...
max values : 7.53125000, 0.69336098, 0.09375487, 9.00326061, 23.77886200, 16.37112999, 6.83587980, 4.03569651, 21.04327393, 6.23503065, 3.15138841, 1.24927104, 4.46353579, 3.46504283, 4.42247295, ...
#
indices = seq.Date(min(as.Date("2018-1-1")), max(as.Date("2018-12-31")), by="day")
#
prec_rt = rts(prec, indices)
#
rr_2018_weekly_sum = apply.weekly(prec_rt, sum)
raster r stack
asked 2 days ago
Maria KarypidouMaria Karypidou
163
I have a netcdf file with daily data and I calculate for each week some statistics, using the "apply.weekly" command in the "xts" library. However, I would like to calculate bi-weekly statistics, using daily data from every two weeks as input. How could i do this in R?
library("ncdf4")
library("rts")
library("xts")
#
prec = stack("pr.nc")
#
prec
#
class : RasterStack
dimensions : 12, 19, 228, 365 (nrow, ncol, ncell, nlayers)
resolution : 0.125, 0.125 (x, y)
extent : 21.75, 24.125, 39.875, 41.375 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
names : X2018.01.01, X2018.01.02, X2018.01.03, X2018.01.04, X2018.01.05, X2018.01.06, X2018.01.07, X2018.01.08, X2018.01.09, X2018.01.10, X2018.01.11, X2018.01.12, X2018.01.13, X2018.01.14, X2018.01.15, ...
min values : 1.062151e-13, 1.080165e-13, 1.061332e-13, 1.757816e-02, 4.101618e-02, 3.535164e-01, 2.539131e-02, 2.674782e-02, 1.932025e-02, 2.027835e-05, 2.576398e-06, 6.366093e-13, 7.227548e-05, 1.345976e-04, 2.202405e-08, ...
max values : 7.53125000, 0.69336098, 0.09375487, 9.00326061, 23.77886200, 16.37112999, 6.83587980, 4.03569651, 21.04327393, 6.23503065, 3.15138841, 1.24927104, 4.46353579, 3.46504283, 4.42247295, ...
#
indices = seq.Date(min(as.Date("2018-1-1")), max(as.Date("2018-12-31")), by="day")
#
prec_rt = rts(prec, indices)
#
rr_2018_weekly_sum = apply.weekly(prec_rt, sum)
raster r stack
raster r stack
asked 2 days ago
Maria KarypidouMaria Karypidou
163
asked 2 days ago
Maria KarypidouMaria Karypidou
163
asked 2 days ago
Maria KarypidouMaria Karypidou
163
asked 2 days ago
Maria KarypidouMaria Karypidou
163
asked 2 days ago
Maria KarypidouMaria Karypidou
163
163
use period.apply() to specify periods other than days, weeks, months
– JepsonNomad
2 days ago
add a comment |
use period.apply() to specify periods other than days, weeks, months
– JepsonNomad
2 days ago
use period.apply() to specify periods other than days, weeks, months
– JepsonNomad
2 days ago
use period.apply() to specify periods other than days, weeks, months
– JepsonNomad
2 days ago
add a comment |
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use period.apply() to specify periods other than days, weeks, months
– JepsonNomad
2 days ago