File:Vendanges france 1892-2014 en US.svg
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Summary
DescriptionVendanges france 1892-2014 en US.svg |
English: Change of wine grapes harvesting dates in France since the 19th century. The data come from several vineyards :
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Date | |
Source | Data from Agence française pour la biodiversité |
Author | Delorme |
Other versions |
[edit]
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Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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- You are free:
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- to remix – to adapt the work
- Under the following conditions:
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Create this plot
R code
res <- vendanges %>%
filter(annee > 1964) %>%
glm(doy_v ~ annee + vignoble, data = .)
summary(res)
m <- -1 * res$coefficients[2]
incert <- round(abs(diff(confint(res)[2, ]) / 2 * 10), 1)
language <- list(
en_US = list(
locale_lc_time = "en_US.UTF-8",
title = "Wine grapes harvesting dates in France",
subtitle = bquote("Advance :" ~ .(round(m * 10, 1)) ~ scriptstyle(phantom("") %+-% .(incert)) ~ "days per decade *"),
legend = "Vineyard",
caption = "Data",
caption2 = "\n* computed for the 5 vinyards on 1964-",
caption3 = "where data are fully available, 95 % confidence interval",
x = "Year",
y = "Date",
trend = "Trend\nall vineyards",
outDec = ".",
dateFormat = "%b %e"
),
fr_FR = list(
locale_lc_time = "fr_FR.UTF-8",
title = "Dates de vendanges en France métropolitaine",
subtitle = bquote("précocité :" ~ .(round(m * 10, 1)) ~ scriptstyle(phantom("") %+-% .(incert)) ~ "jours par décennie *"),
legend = "vignoble",
caption = "données",
caption2 = "\n* calculée pour les 5 vignobles sur la période 1964-",
caption3 = "où les données sont complètes, intervalle de confiance à 95 %",
x = "année",
y = "date",
trend = "tendance\ntous vignobles",
outDec = ",",
dateFormat = "%e %b"
)
)
for (l in names(language)) {
message(l)
current <- language[[l]]
options(OutDec = current$outDec)
Sys.setlocale("LC_TIME", current$locale_lc_time)
ggplot(vendanges, aes(annee, doy_v)) +
geom_point(aes(color = vignoble), size = 0.7) +
geom_smooth(aes(color = vignoble), size = .7, span = .5, alpha = 0.1) +
geom_smooth(data = filter(vendanges, annee > 1964), aes(linetype = current$trend), method = "lm", color = "black") +
scale_color_discrete(name = current$legend) +
scale_x_continuous(breaks = pretty_breaks()) +
scale_y_continuous(label = function(x) format(as.Date(paste0("2017-", x), "%Y-%j"), current$dateFormat),
breaks = seq(235, 308, 7),
minor_breaks = seq(235, 308, 1)) +
scale_linetype_manual(name = "", values = c(1)) +
labs(title = paste0(current$title, " ", min(vendanges$annee), "-", max(vendanges$annee)),
subtitle = current$subtitle,
x = current$x,
y = current$y,
caption = paste0(current$caption, " : http://indicateurs-biodiversite.naturefrance.fr/fr/indicateurs/dates-de-vendanges-en-france-metropolitaine", current$caption2, max(vendanges$annee, na.rm = TRUE), " ", current$caption3))
ggsave(paste0("~/vendanges_france_1892-2014_", l ,".svg"), width = 21, height = 13, units = "cm", scale = 1.4, device = svg)
}
Data code
library(tidyverse)
library(lubridate)
library(scales)
theme_update(plot.caption = element_text(size = 7),
panel.grid.minor = element_line(color= "#F2F2F2"))
vendanges <- read_tsv("annee Tavel Châteauneuf-du-Pape Champagne Saint-Émilion Alsace
1892 09-19
1893 08-24
1894 10-02
1895 09-19
1896 09-23
1897 09-15
1898 09-26
1899 09-25
1900 09-20
1901 09-12
1902 09-24
1903 09-28
1904 09-19
1905 09-18
1906 09-19
1907 10-01
1908 09-22
1909 10-05
1910 10-12
1911 09-25
1912 10-02
1913 09-29
1914 09-22
1915 09-21
1916 10-02
1917 09-17
1918 09-23
1919 09-29
1920 09-21
1921 09-19
1922 09-18
1923 10-02
1924 09-28
1925 10-01
1926 10-04
1927 10-02
1928 09-28
1929 09-24
1930 10-01
1931 09-23
1932 10-14
1933 09-25
1934 09-14
1935 09-26
1936 09-29
1937 09-20
1938 09-21
1939 09-29
1940 09-23
1941 09-28
1942 09-21
1943 09-15
1944 09-26
1945 09-25 09-10
1946 09-30 09-30
1947 09-25 09-15
1948 09-27 09-27
1949 09-19 09-26
1950 09-25 09-18
1951 10-08 10-04 10-01 10-08
1952 09-25 09-24 09-08 09-15
1953 09-24 09-28 09-15 09-21
1954 09-29 10-01 09-27 10-05
1955 09-22 09-26 09-28 09-20
1956 10-03 10-04 10-08
1957 09-13 09-24 09-20 10-03
1958 09-25 09-25 10-01 10-06
1959 09-22 09-25 09-10 09-28
1960 09-22 09-19 09-12 10-02
1961 09-07 09-10 09-20 09-18
1962 09-24 10-01 10-04 09-26
1963 09-24 09-21 10-05 10-01
1964 09-21 09-14 09-16 09-22
1965 09-20 09-22 10-09 10-04 11-04
1966 09-16 09-16 09-22 09-22 10-17
1967 09-21 09-18 09-28 09-27 10-05
1968 09-20 09-23 10-03 10-01 10-20
1969 09-18 09-25 10-01 09-29 10-18
1970 09-17 09-21 09-27 09-24 10-10
1971 09-20 09-27 09-18 09-30 10-10
1972 09-21 09-25 10-12 10-12 10-20
1973 09-17 09-25 09-28 09-27 10-04
1974 09-23 09-23 09-28 09-30 10-06
1975 09-22 09-26 10-02 09-26 10-12
1976 09-06 09-16 09-01 09-16 09-21
1977 09-21 09-26 10-06 10-10 10-21
1978 09-21 09-22 10-09 10-09 10-29
1979 09-10 09-14 10-03 10-08 10-14
1980 09-20 09-25 10-09 10-13 11-02
1981 09-14 09-16 09-28 10-01 10-14
1982 09-13 09-15 09-20 09-20 10-06
1983 09-12 09-19 09-29 09-29 10-06
1984 09-24 09-24 10-08 10-02 10-24
1985 09-16 09-20 09-30 10-01 10-13
1986 09-10 09-16 09-30 10-01 10-14
1987 09-17 09-21 10-07 10-02 10-22
1988 09-11 09-19 09-26 10-01 10-09
1989 09-04 09-11 09-12 09-07 10-03
1990 09-05 09-12 09-16 09-11 10-07
1991 09-16 09-12 10-01 09-30 10-11
1992 09-10 09-16 09-19 09-24 09-30
1993 09-09 09-13 09-14 09-20 10-02
1994 08-31 09-09 09-19 09-16 09-29
1995 09-11 09-19 09-25 09-15 10-06
1996 09-16 09-16 09-22 09-23 10-10
1997 09-08 09-12 09-18 09-03 10-03
1998 09-03 09-07 09-17 09-21 09-28
1999 09-07 09-08 09-19 09-14 10-02
2000 09-04 09-04 09-17 09-14 09-22
2001 09-03 09-06 09-26 09-24 09-30
2002 09-06 09-09 09-17 09-20 09-25
2003 08-25 09-01 08-27 09-01 09-12
2004 09-04 09-11 09-26 09-20 10-02
2005 09-05 09-07 09-16 09-12 09-23
2006 08-31 09-06 09-15 09-15 09-24
2007 08-25 09-04 08-31 09-19 09-10
2008 09-07 09-11 09-17 09-29 09-26
2009 08-31 09-07 09-12 09-15 09-17
2010 09-09 09-13 09-16 09-20 09-24
2011 09-01 09-05 08-23 09-06 09-12
2012 09-04 09-10 09-16 09-27 09-24
2013 09-16 09-12 10-01 09-30
2014 09-08 09-15 09-14 09-19 ") %>%
gather(key = "vignoble", value = "date_v", 2:6) %>%
mutate(date_v = ymd(paste0(annee, "-", date_v)),
doy_v = yday(date_v))
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29 October 2017
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 11:56, 29 October 2017 | 1,041 × 644 (325 KB) | Oeneis | User created page with UploadWizard |
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Width | 833pt |
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Height | 515pt |