Wikisym 2012 Demo: Difference between revisions

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Line 142: Line 142:
plotvar<-shp@data$ika
plotvar<-shp@data$ika
nclr<-myclasses
nclr<-myclasses
plotclr<-brewer.pal(nclr,"BuPu")
plotclr<-brewer.pal(nclr,"Reds")
class<-classIntervals(plotvar,nclr,style=classtype)
class<-classIntervals(plotvar,nclr,style=classtype)
colcode<-findColours(class,plotclr)
colcode<-findColours(class,plotclr)

Revision as of 11:26, 21 August 2012

Polygons on dynamic Google Maps

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

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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:

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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.

Number of classes:

Type of classification:

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