File:Berelyekh river, indigirka lowland pollen r 1.svg
Original file (SVG file, nominally 1,440 × 900 pixels, file size: 208 KB)
Captions
Summary[edit]
DescriptionBerelyekh river, indigirka lowland pollen r 1.svg |
English: Pollen diagram of Berelyekh river, Indigirka lowland, Northeast Siberia, Russia |
Date | |
Source | Own work |
Author | Merikanto |
SVG development InfoField |
This image is based on pollen data from Neotoma.
- some kind of neotoma pollen diagram by dataset number
- equal with columns,columns represent percent from maximum of earch pollen species
- 24.20,2021 v 0000.0000
- original script is
- https://quantpalaeo.wordpress.com/2018/05/18/statigraphic-diagrams-with-ggplot/
library("neotoma")
library("tidyverse")
- get dataset list
- pollen_sites <- get_dataset(datasettype = "pollen", x = 253)
- berelekh middle weichselian
- neotoma dataset id of Berelekh longest sequence
dataset_number=3063
sitename1<-'Berelyekh River, Indigirka Lowland'
sitename_x0=tolower(sitename1)
sitename_x1<-str_replace(sitename_x0,' ', '_')
outfilename1<-paste0("./",sitename_x1,"_pollen_r_n.svg")
pollen_sites <- get_dataset(datasettype = "pollen", x = dataset_number)
- download_data
pollen_data <- get_download(pollen_sites)
pollen_data <- pollen_data1
- ecological.group = factor(ecological.group, levels = c("TRSH", "UPHE", "VACR","AQVP", "AQBR","ALGA")),
- ecological.group = factor(ecological.group, levels = c("TRSH","UPHE","AQVP","VACR","AQBR","FUNGI","ALGA","FUNG","AMOE","TARD")),
wanted <- c("TRSH", "UPHE", "VACR", "AQBR", "AQVP", "TARD", "ALGA")
thin_pollen <- bind_cols(
counts(pollen_data),
ages(pollen_data) %>% select(depth, age, age.type)
) %>%
gather(key = taxon, value = count, -depth, -age, -age.type) %>%
left_join(pollen_data$taxon.list, c("taxon" = "taxon.name")) %>%
filter(ecological.group %in% wanted) %>%
group_by(depth) %>%
mutate(percent = count / sum(count) * 100)
svg(filename=outfilename1, width=16, height=10, pointsize=16)
thin_pollen %>%
mutate(taxon = factor(taxon, levels = unique(taxon[order(ecological.group)]))) %>%
group_by(taxon) %>%
filter(max(percent) >= 3, sum(percent > 0) >= 3) %>%
ggplot(aes(x = age, y = percent, fill = ecological.group)) +
ggtitle(sitename1)+
geom_area(aes(y = percent * 10), alpha = 0.3, show.legend = FALSE) +
geom_area(show.legend = FALSE) +
coord_flip(ylim = c(0, max(thin_pollen$percent))) +
scale_x_reverse(expand = c(0.02, 0)) +
scale_y_continuous(breaks = scales::pretty_breaks(n = 2)) +
facet_wrap(~ taxon, nrow = 1) +
labs(x = expression(Age~^{14}*C~BP), y = "Percent", fill = "Group") +
theme_grey(base_size = 11)+
theme(strip.text.x = element_text(angle = 90, size = 11, hjust = 0),
panel.spacing = unit(x = 1, units = "pt"),
axis.text.x = element_text(size = 11),
axis.text.y = element_text(size = 11),
axis.title.x = element_text(size = 16),
axis.title.y = element_text(size = 16),
title=element_text(size = 22),
)
dev.off()
print(".")
Licensing[edit]
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 15:18, 24 October 2021 | 1,440 × 900 (208 KB) | Merikanto (talk | contribs) | Uploaded own work with UploadWizard |
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Width | 1152pt |
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Height | 720pt |