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.


library(OpasnetUtils)
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.

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library(rgdal)
library(RColorBrewer)
library(classInt)
library(OpasnetUtils)
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 properites within Kuopio. User can select the number of age classes (4,6 or 8) and the type of classification.

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#code goes here
library(RgoogleMaps)
library(rgdal)
library(maptools)
library(RColorBrewer)
library(classInt)
library(OpasnetBaseUtils)

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")

Wikisym 2012 Demo

Polygons on dynamic Google Maps

Points on dynamic Google Maps

Large quantity of points on a static Google Maps

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