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mikejohnson51
Question and Help: On How to Plot Monthly Data into Yearly Data In Tempreture change Map using getTerra climate
Hello @mikejohnson51 and @Rapsodia86 hopefully you guys are doing well and alright, I have three chunk of codes for mean,yearly and monthly for climateR they seemed to work about couple of year ago but now they don't seem to work any more i'll share the codes
But mostly i'm getting masking error ,could you help me out on updating or figuring out so it can work again
library(climateR)
library(terra)
library(tidyterra)
library(ggplot2)
SAU = AOI::aoi_get(country = "SAU")
test_data = getTerraClim(
AOI = SAU,
varname = "tmax",
startDate = "2011-01-01",
endDate = "2012-12-01"
)
data = tapp(test_data[[1]],
rep(1:12, (nlyr(test_data[[1]]) / 12)),
mean) |>
mask(project(vect(SAU), crs(test_data[[1]])))
ggplot() +
geom_spatraster(data = data) +
geom_spatvector(data = SAU, fill = NA, lwd = 1) +
facet_wrap( ~ lyr) +
scale_fill_whitebox_c(
palette = "muted",
n.breaks = 12,
guide = guide_legend(reverse = TRUE)
) +
theme_minimal()
Created on 2024-03-17 with reprex v2.0.2
Okay thank you much very this is cool visual but I have few 3 questions.
1.The above is cool but instead of x1 ,x2, x3 how can I label like January, February , march etc.? 2.The above is for monthly basis which is cool how will code appear in yearly basis? like it to appear two maps of only 2011 and 2012. 3.How does code appear like in one mean average temperature ? like one big visual showing mean Temperature of 2011 and 2012 ?
Thats all I think but thank you very much for this one
Two small adjustments should get you that!
library(climateR)
library(terra)
library(tidyterra)
library(ggplot2)
SAU = AOI::aoi_get(country = "SAU")
test_data = getTerraClim(
AOI = SAU,
varname = "tmax",
startDate = "2011-01-01",
endDate = "2012-12-01"
)
data = tapp(test_data[[1]],
rep(1:(nlyr(test_data[[1]]) / 12), 12),
mean) |>
mask(project(vect(SAU), crs(test_data[[1]])))
names(data) = c("Y2011", "Y2012")
ggplot() +
geom_spatraster(data = data) +
geom_spatvector(data = SAU, fill = NA, lwd = 1) +
facet_wrap( ~ lyr) +
scale_fill_whitebox_c(
palette = "muted",
n.breaks = 12,
guide = guide_legend(reverse = TRUE)
) +
theme_minimal()
Created on 2024-03-18 with reprex v2.0.2
One last qn like how do you create mean day temperature combining 2011 and 2012
Something like that
Maybe something like:
data = mask(mean(test_data[[1]]), project(vect(SAU), crs(test_data[[1]])))
ggplot() +
geom_spatraster(data = data) +
geom_spatvector(data = SAU, fill = NA, lwd = 1) +
scale_fill_whitebox_c(
palette = "muted",
n.breaks = 12,
guide = guide_legend(reverse = TRUE)
) +
labs(title = "Mean Daily Max Temp") +
theme_minimal()
Hi @mikejohnson51, I wanted to answer but looks like I am not able to get the data downloaded. It just runs and never finishes. I tried on this example and on #93
system.time({
cdat = terra::ext(c(-98.90219, -65.21105, 28.12502, 50.43962)) |>
vect(crs = '+proj=longlat +ellps=WGS84 +no_defs') |>
getTerraClimNormals(
varname = "tmin",
scenario = "19812010",
month = 5:9)
})
Here is the session info:
sessionInfo()
R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8
[2] LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] terra_1.7-74 climateR_0.3.4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.12 pillar_1.9.0 compiler_4.2.2
[4] viridis_0.6.5 tools_4.2.2 digest_0.6.35
[7] bit_4.0.5 lifecycle_1.0.4 tibble_3.2.1
[10] gtable_0.3.4 viridisLite_0.4.2 RNetCDF_2.9-1
[13] pkgconfig_2.0.3 rlang_1.1.3 cli_3.6.2
[16] rstudioapi_0.15.0 parallel_4.2.2 ncmeta_0.3.6
[19] gridExtra_2.3 dplyr_1.1.4 globals_0.16.3
[22] generics_0.1.3 vctrs_0.6.5 hms_1.1.3
[25] bit64_4.0.5 grid_4.2.2 tidyselect_1.2.1
[28] glue_1.7.0 listenv_0.9.1 R6_2.5.1
[31] gifski_1.12.0-2 parallelly_1.37.1 future.apply_1.11.1
[34] fansi_1.0.6 ggplot2_3.4.4 readr_2.1.5
[37] tzdb_0.4.0 purrr_1.0.2 magrittr_2.0.3
[40] scales_1.3.0 codetools_0.2-18 assertthat_0.2.1
[43] future_1.33.1 colorspace_2.1-0 arrow_15.0.1
[46] utf8_1.2.4 munsell_0.5.0
Maybe I need some updates? Thanks!
@mikejohnson51 Hey I think for me I'm done ,Thank you so so much for the great help....I'm really grateful for that.....I guess I'll see you when you update climateR again :).
I'm Back again with one last tiny question ? I altered the code a bit let me show you
library(climateR)
library(terra)
library(tidyterra)
library(ggplot2)
library(colorspace)
SAU = AOI::aoi_get(country = "SAU")
test_data = getTerraClim(
AOI = SAU,
varname = "tmax",
startDate = "2011-01-01",
endDate = "2012-12-01"
)
data = tapp(test_data[[1]],
rep(1:(nlyr(test_data[[1]]) / 12), 12),
mean) |>
mask(project(vect(SAU), crs(test_data[[1]])))
names(data) = c("2011", "2012")
ggplot() +
geom_spatraster(data = data) +
geom_spatvector(data = SAU, fill = NA, lwd = 1) + # Set color to "black"
facet_wrap( ~ lyr) +
scale_fill_continuous_sequential(palette = "YlOrRd") +
labs(title = "Yearly temperature of Saudi Arabia of the years 2011 and 2012",
fill = "Temperature (°C)") + # Add title
theme_minimal()
It gives me this output but how do I remove grey color surrounding The Area of Interest(Saudi Arabia)
Maybe this will help: https://dieghernan.github.io/tidyterra/articles/faqs.html#nas-remove