stfdfGoogleMaps: Create a plot of spacetime (STFDF) data on Google Maps

In plotGoogleMaps: Plot Spatial or Spatio-Temporal Data Over Google Maps

Description

Plot htm output with Google Maps API and a plot of spacetime (STFDF) data as a combination of users' data and Google Maps layers. Ready to use as local htm file or into your own website.

Usage

stfdfGoogleMaps(stfdf,
                 zcol=1,
                 filename='',
                 layerName="",
                 plotNames=row.names(stfdf@sp),
                 aggregateFUN='mean',
                 round.att=1,
                 plot.height=300,
                 plot.width=300,
                           ...) 

Arguments

stfdf	object of spacetime (STFDF-class) with associated coordinate reference systems
zcol	variable column name, or column number after removing spatial coordinates from x@data: 1 refers to the first non-coordinate column, it has to be numeric
filename	the name of the output htm or html file. If filename is not defined the function creates temporary file.
layerName	the name of the layer. Layer name appears on the check box for switching layer of and on in output htm.
plotNames	vector of of plot titles in infoWindow plots
aggregateFUN	a function to compute the summary statistics of time series
round.att	integer indicating the number of decimal places for ploting attribute, if not a number no round
plot.height	the height of of plot in infoWindow plot in pixels (px)
plot.width	the width of plot in infoWindow plot in pixels (px)
...	arguments from plotGoogleMaps

Value

This function returns a html(htm) file ready to use.

Author(s)

Milan Kilibarda <[e-mail]>

See Also

stplotGoogleMaps, plotGoogleMaps

Examples

## Data preparation
## STFDF data from spacetime vignette spacetime: Spatio-Temporal Data in R 
#library("maps")
# states.m = map('state', plot=FALSE, fill=TRUE)
# IDs <- sapply(strsplit(states.m$names, ":"), function(x) x[1])
# library("maptools")
#states = map2SpatialPolygons(states.m, IDs=IDs)
#yrs = 1970:1986
#time = as.POSIXct(paste(yrs, "-01-01", sep=""), tz = "GMT")
# library("plm")
#data("Produc")
#Produc.st = STFDF(states[-8], time, Produc[order(Produc[2], Produc[1]),])
#Produc.st@sp@proj4string=CRS('+proj=longlat +datum=WGS84')
# m <-  stfdfGoogleMaps(Produc.st, zcol= 'unemp')               

Example output

Loading required package: sp
Loading required package: spacetime

plotGoogleMaps documentation built on May 1, 2019, 7:29 p.m.