Nothing
## ----setOptions, message=FALSE------------------------------------------------
library(googleVis)
op <- options(gvis.plot.tag='chart')
## ----results='asis', eval=TRUE------------------------------------------------
library(spacetime)
data(air) # loads rural and DE_NUTS1
rural = STFDF(stations, dates, data.frame(PM10 = as.vector(air)))
library(ISOcodes)
data("ISO_3166_2")
## State names are already in German
ISO_3166_2_DE <- ISO_3166_2[grep("DE-", ISO_3166_2$Code), ]
plot(
gvisTable(ISO_3166_2_DE)
)
## ----results='asis'-----------------------------------------------------------
ISO_3166_2_DE <- ISO_3166_2_DE[order(ISO_3166_2_DE$Name),]
DE_NUTS1$name <- ISO_3166_2_DE$Name
## ----GeoMapExample, results='asis', tidy=FALSE--------------------------------
library(googleVis)
## Create list with options for Geo Chart to be used
geoChartDE <- list(region="DE",
resolution="provinces",
legend="{numberFormat:'#,###.00'}")
plot(
gvisGeoChart(DE_NUTS1@data, locationvar = "name",
colorvar = "Shape_Area",
options=geoChartDE)
)
## ----results='asis'-----------------------------------------------------------
DE_NUTS1$code = ISO_3166_2_DE$Code
plot(
gvisGeoChart(DE_NUTS1@data, locationvar = "code",
colorvar = "Shape_Area",
options=geoChartDE)
)
## ----results='asis'-----------------------------------------------------------
DE_NUTS1.years = STF(DE_NUTS1, as.Date(c("2008-01-01", "2009-01-01")))
agg = aggregate(rural[,"2008::2009"], DE_NUTS1.years, mean, na.rm=TRUE)
d = agg[,1]@data # select time step one, take attr table of resulting SpatialPolygonsDataFrame object
d$code = ISO_3166_2_DE$Code # add region codes
d$PM10 = round(d$PM10, 2) # avoid 12-digit numbers printed when hovering over
M <- gvisGeoChart(na.omit(d), locationvar = "code",
colorvar = "PM10",
options=c(geoChartDE, height=400)) # drop NA values for Geo chart
## Add German state names for table
d$code <- ISO_3166_2_DE$Name
Tbl <- gvisTable(d, options=list(height=400),
formats=list(PM10="#,###.0"))
plot(gvisMerge(M, Tbl, horizontal=TRUE))
## ----results='asis'-----------------------------------------------------------
library(sp)
data("wind", package = "gstat")
wind.loc$y = as.numeric(char2dms(as.character(wind.loc[["Latitude"]])))
wind.loc$x = as.numeric(char2dms(as.character(wind.loc[["Longitude"]])))
wind.loc$yx = paste(wind.loc$y, wind.loc$x, sep=":")
m = round(apply(wind,2,mean), 3)
sd = round(apply(wind,2,sd), 3)
wind.loc$mean = m[match(wind.loc$Code, names(m))]
wind.loc$sd = sd[match(wind.loc$Code, names(sd))]
plot( gvisGeoChart(wind.loc, "yx", "mean", "sd", "Station",
options = list(region = "IE",
legend="{numberFormat:'#.00'}"))
)
## ----results='asis'-----------------------------------------------------------
# select:
wind = wind[wind$year > 76,] # select three years, 1976-1978
time = ISOdate(wind$year+1900, wind$month, wind$day)
wind.stack = stack(wind[,4:15])
names(wind.stack) = c("wind_speed", "station")
wind.stack$time = rep(time, 12)
plot(
gvisAnnotationChart(wind.stack, "time", "wind_speed", "station",
options = list(width = "1000px",
height = "500px"))
)
## ----results='asis'-----------------------------------------------------------
wind$time = time
plot(
gvisLineChart(wind[1:200,], "time", names(wind)[4:9])
)
## ----results='asis'-----------------------------------------------------------
wind$time = time
wind[4:5, 7:9] = NA
plot(
gvisLineChart(wind[1:10,], "time", names(wind)[4:9])
)
## ----results='asis'-----------------------------------------------------------
library(spacetime)
data(air)
d = as(rural[1:10,"2001"], "data.frame") # daily, 2001
plot(
gvisAnnotationChart(d, "time", "PM10", "sp.ID",
options = list(width = "1000px",
height = "500px"))
)
## ----MotionChartExample, results='asis', tidy=FALSE, eval=require(plm)--------
data("Produc", package = "plm")
plot(
gvisMotionChart(Produc, idvar="state", timevar="year")
)
## ----resetOptions-------------------------------------------------------------
## Set options back to original options
options(op)
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