R help - May 2022 - need to plot multiple spatial maps side-by-side in a single window using sf plot function in R

Hi,

I like to plot all my 5 spatial maps of drought indices in a single window
using the sf plot function in R. I am able to plot all maps separately but
unable to plot altogether. All indexes are showing drought indices.

I really appreciate your help!

Here is the code:

#merging using merge function
merge_drought_indices <- merge(shp_dist, drought_indices)
view(merge_drought_indices)
#plot in a single window
library(sp)
par(mfrow=c(2,2))
 plot(merge_drought_indices["r_count_lt_p05_harvest_end"],
 pal = colorRampPalette(c("red", "white",
"blue","green")),
 main = "End harvest index variation in India during drought year
2000",
 key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)

 plot(merge_drought_indices["r_count_lt_p05_harvest"],
 pal = colorRampPalette(c("red", "white",
"blue","green")),
 main = "Harvest variation index in India during drought year 2000",
 key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)

 plot(merge_drought_indices["r_count_lt_p05_main"],
 pal = colorRampPalette(c("red", "white",
"blue","green")),
 main = "Main growth stage index variation in India during drought year
2000",
 key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)

 plot(merge_drought_indices["r_count_lt_p05_plant.start"],
 pal = colorRampPalette(c("red", "white",
"blue","green")),
 main = "Plant start index variation in India during drought year
2000",
 key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)

 plot(merge_drought_indices["r_count_lt_p05_plant"],
 pal = colorRampPalette(c("red", "white",
"blue","green")),
 main = "main plant stage index variation in India during drought year
2000",
 key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)


Regards and Thanks,

Ranjeet



-- 



*"Simple Heart, Humble Attitude and Surrender to Supreme Being make our
lives beautiful!"*

	[[alternative HTML version deleted]]

It seems that sp uses the lattice package and spplot() for multiple
plots. These are completely incompatible with base plot's par(mfrow
=...) multiple plotting. I think you need to study how lattice works.
In particular, see ?plot.trellis and ?xyplot for some relevant info.

You might also do better posting this on r-sig-geo,
https://stat.ethz.ch/mailman/listinfo/r-sig-geo , where expertise on
this sort of thing is more likely to reside.

Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Sat, May 14, 2022 at 10:02 AM Ranjeet Kumar Jha
<ranjeetjhaiitkgp at gmail.com> wrote:
>
> Hi,
>
> I like to plot all my 5 spatial maps of drought indices in a single window
> using the sf plot function in R. I am able to plot all maps separately but
> unable to plot altogether. All indexes are showing drought indices.
>
> I really appreciate your help!
>
> Here is the code:
>
> #merging using merge function
> merge_drought_indices <- merge(shp_dist, drought_indices)
> view(merge_drought_indices)
> #plot in a single window
> library(sp)
> par(mfrow=c(2,2))
>  plot(merge_drought_indices["r_count_lt_p05_harvest_end"],
>  pal = colorRampPalette(c("red", "white",
"blue","green")),
>  main = "End harvest index variation in India during drought year
2000",
>  key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)
>
>  plot(merge_drought_indices["r_count_lt_p05_harvest"],
>  pal = colorRampPalette(c("red", "white",
"blue","green")),
>  main = "Harvest variation index in India during drought year
2000",
>  key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)
>
>  plot(merge_drought_indices["r_count_lt_p05_main"],
>  pal = colorRampPalette(c("red", "white",
"blue","green")),
>  main = "Main growth stage index variation in India during drought
year 2000",
>  key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)
>
>  plot(merge_drought_indices["r_count_lt_p05_plant.start"],
>  pal = colorRampPalette(c("red", "white",
"blue","green")),
>  main = "Plant start index variation in India during drought year
2000",
>  key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)
>
>  plot(merge_drought_indices["r_count_lt_p05_plant"],
>  pal = colorRampPalette(c("red", "white",
"blue","green")),
>  main = "main plant stage index variation in India during drought year
2000",
>  key.pos = 4, axes = TRUE, key.width = lcm(1.3), key.length = 1.0)
>
>
> Regards and Thanks,
>
> Ranjeet
>
>
>
> --
>
>
>
> *"Simple Heart, Humble Attitude and Surrender to Supreme Being make
our
> lives beautiful!"*
>
>         [[alternative HTML version deleted]]
>
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