Wikisym 2012 Demo

Polygons on dynamic Google Maps

This example plots municipalities of Finland on Google Maps using data from National Land Survey of Finland.

+ Show code- Hide code library(OpasnetUtilsExt) library(sorvi) library(rgdal) # Get the shape data of Finnish municipalities using soRvi library data(MML) shp <- MML[["1_milj_Shape_etrs_shape"]][["kunta1_p"]] # Set the projection epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") proj4string(shp)<-("+init=epsg:3047") shp2<-spTransform(shp,epsg4326String) # Create the KML data using the shape out<-sapply(slot(shp2,"polygons"),function(x){kmlPolygon(x,name="name",col='#df0000aa',lwd=1,border='black',description="desc") }) data<-paste( paste(kmlPolygon(kmlname="This will be layer name", kmldescription="<i>More info about layer here</i>")$header, collapse="\n"), paste(unlist(out["style",]), collapse="\n"), paste(unlist(out["content",]), collapse="\n"), paste(kmlPolygon()$footer, collapse="\n"), sep='' ) # Show the KML data on Google Maps google.show_kml_data_on_maps(data)

Points on dynamic Google Maps

This examples plots buildings of Kuopio on Google Maps. User can give the minimum age of buildings to plot as an input parameter.

Building minimum age: + Show code- Hide code library(rgdal) library(RColorBrewer) library(classInt) library(OpasnetUtilsExt) library(RODBC) if (age > 190) { age <- 190 } shp <- spatial_db_query(paste('SELECT * FROM kuopio_house WHERE ika >= ',age,';',sep='')) coordinates(shp)=c("y_koord","x_koord") plotvar<-shp@data$ika nclr<-8 plotclr<-brewer.pal(nclr,"BuPu") class<-classIntervals(plotvar,nclr,style="quantile") colcode<-findColours(class,plotclr) epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") proj4string(shp)<-("+init=epsg:3067") shp2<-spTransform(shp,epsg4326String) kmlname<-"Kuopio house data" kmldescription<-"Random stuff about here" icon<-"http://maps.google.com/mapfiles/kml/pal2/icon18.png" name<-paste("Value: ",shp2$ika) description <- paste("<b>Age:</b>",shp2$ika,"<br><b>Building ID:</b>",shp2$rakennustunnus) data <- google.point_kml(shp2,kmlname,kmldescription,name,description,icon,colcode) google.show_kml_data_on_maps(data)

Large quantity of points on a static Google Maps

This example plots large number of point data on static Google Maps. The map produced in this example shows the age (in years) distribution of buildings within Kuopio. User can select the number of age classes (4,6 or 8) and the type of classification.

Number of classes: 4 6 8 Type of classification: Equal Int Quantile Standard deviation Jenks + Show code- Hide code #code goes here library(RgoogleMaps) library(rgdal) library(maptools) library(RColorBrewer) library(classInt) library(OpasnetUtilsExt) shp<-readOGR('PG:host=localhost user=postgres dbname=spatial_db','kuopio_house') plotvar<-shp@data$ika nclr<-myclasses plotclr<-brewer.pal(nclr,"Reds") class<-classIntervals(plotvar,nclr,style=classtype) colcode<-findColours(class,plotclr) epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") proj4string(shp)<-("+init=epsg:3067") shp2<-spTransform(shp,epsg4326String) #get marker information for all points mymarkers<-cbind.data.frame(lat=c(shp2@coords[,2]),lon=c(shp2@coords[,1]),color=colcode); #get the bounding box: bb <- qbbox(lat = mymarkers[,"lat"], lon = mymarkers[,"lon"]) #MyMap function without the "file destination" parameter MyRmap<-function (lonR, latR, center, size = c(640, 640), MINIMUMSIZE = FALSE, RETURNIMAGE = TRUE, GRAYSCALE = FALSE, NEWMAP = TRUE, zoom, verbose = 1, ...) { if (missing(zoom)) zoom <- min(MaxZoom(latR, lonR, size)) if (missing(center)) { lat.center <- mean(latR) lon.center <- mean(lonR) } else { lat.center <- center[1] lon.center <- center[2] } if (MINIMUMSIZE) { ll <- LatLon2XY(latR[1], lonR[1], zoom) ur <- LatLon2XY(latR[2], lonR[2], zoom) cr <- LatLon2XY(lat.center, lon.center, zoom) ll.Rcoords <- Tile2R(ll, cr) ur.Rcoords <- Tile2R(ur, cr) if (verbose > 1) { cat("ll:") print(ll) print(ll.Rcoords) cat("ur:") print(ur) print(ur.Rcoords) cat("cr:") print(cr) } size[1] <- 2 * max(c(ceiling(abs(ll.Rcoords$X)), ceiling(abs(ur.Rcoords$X)))) + 1 size[2] <- 2 * max(c(ceiling(abs(ll.Rcoords$Y)), ceiling(abs(ur.Rcoords$Y)))) + 1 if (verbose) cat("new size: ", size, "\n") } return(google.get_map(center = c(lat.center, lon.center), zoom = zoom, size = size, RETURNIMAGE = RETURNIMAGE, GRAYSCALE = GRAYSCALE, verbose = verbose, ...)) } MyMap<-MyRmap(bb$lonR,bb$latR,maptype="mobile",scale="2") PlotOnStaticMap(MyMap,size=c(640,640)) PlotOnStaticMap(MyMap,size=c(640,640),lat=mymarkers[,"lat"],lon=mymarkers[,"lon"],pch=19,cex=0.3,col=colcode,add=T) legend("topleft", legend=names(attr(colcode, "table")),title="Building Age (Yr)", fill=attr(colcode, "palette"), cex=1.0, bty="y",bg="white")