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RgoogleMaps (version 1.1.9.7)

PlotPolysOnStaticMap: plots polygons on map

Description

This function plots/overlays polygons on a map. Typically, the polygons originate from a shapefile.

Usage

PlotPolysOnStaticMap(MyMap, polys, col, border = NULL, lwd = .25, verbose = 0,...)

Arguments

MyMap
map image returned from e.g. GetMap()
polys
polygons to overlay
col
(optional) vector of colors, one for each polygon
border
the color to draw the border. The default, NULL, means to use par("fg"). Use border = NA to omit borders, see polygon
lwd
line width, see par
verbose
level of verbosity
...
further arguments passed to PlotOnStaticMap

Value

    See Also

    PlotOnStaticMap mypolygon

    Examples

    Run this code
    require(PBSmapping);
      shpFile <- paste(system.file(package = "RgoogleMaps"), "/shapes/bg11_d00.shp", sep = "")
      #shpFile <- system.file('bg11_d00.shp', package = "RgoogleMaps");
      
      shp=importShapefile(shpFile,projection="LL");
      bb <- qbbox(lat = shp[,"Y"], lon = shp[,"X"]);
      MyMap <- GetMap.bbox(bb$lonR, bb$latR, destfile = "DC.jpg");
      PlotPolysOnStaticMap(MyMap, shp, lwd=.5, col = rgb(0.25,0.25,0.25,0.025), add = F);
    
      #North Carolina SIDS data set:
      shpFile <- system.file("shapes/sids.shp", package="maptools");
      shp=importShapefile(shpFile,projection="LL");
      bb <- qbbox(lat = shp[,"Y"], lon = shp[,"X"]);
      MyMap <- GetMap.bbox(bb$lonR, bb$latR, destfile = "SIDS.jpg");
      #compute regularized SID rate
      sid <- 100*attr(shp, "PolyData")$SID74/(attr(shp, "PolyData")$BIR74+500)
      b <- as.integer(cut(sid, quantile(sid, seq(0,1,length=8)) ));
      b[is.na(b)] <- 1;
      opal <- col2rgb(grey.colors(7), alpha=TRUE)/255; opal["alpha",] <- 0.2;
      shp[,"col"] <- rgb(0.1,0.1,0.1,0.2);
      for (i in 1:length(b)) 
        shp[shp[,"PID"] == i,"col"] <- rgb(opal[1,b[i]],opal[2,b[i]],opal[3,b[i]],opal[4,b[i]]);
      PlotPolysOnStaticMap(MyMap, shp, lwd=.5, col = shp[,"col"], add = F);
      
      #compare the accuracy of this plot to a Google Map overlay:
      library(maptools);
      qk <- SpatialPointsDataFrame(as.data.frame(shp[, c("X","Y")]), as.data.frame(shp[, c("X","Y")]))
      proj4string(qk) <- CRS("+proj=longlat");
      tf <- "NC.counties";
      SGqk <- GE_SpatialGrid(qk)
      png(file=paste(tf, ".png", sep=""), width=SGqk$width, height=SGqk$height,
      bg="transparent")
      par(mar=c(0,0,0,0), xaxs="i", yaxs="i");par(mai = rep(0,4))
      plotPolys(shp, plt=NULL)
      dev.off()
      kmlOverlay(SGqk, paste(tf, ".kml", sep=""), paste(tf, ".png", sep=""));
      #This kml file can now be inspected in Google Earth or Google Maps
      
      #or choose an aspect ratio that corresponds better to North Carolina's elongated shape:
      MyMap <- GetMap.bbox(bb$lonR, bb$latR, destfile = "SIDS.jpg", size = c(640, 320), zoom = 7);
      PlotPolysOnStaticMap(MyMap, shp, lwd=.5, col = shp[,"col"], add = F);

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