[R] putting circles/buffers arround points on a 2D graph/plot

Ahmed, Sadia sadia.ahmed05 at imperial.ac.uk
Thu Jul 16 19:23:54 CEST 2009


Hi, 

I'll try to keep my question brief and to the point, to anyone who helps 'THANK YOU!'

I want to get a circle/ring/buffer or some other form of drawn line around certain points on a x,y plot, the points usually don't form a circle, often they form a 'wobbly' shape, so ideally I'd like something that follows the shape the points make.

I'll start by explaining what I've got (I'm sorry if it's a little long, but it's all important for explaining what I want to do):

I have a simple 2D plot of an x variable, called 'percent.forest'', and a y variable called 'metric'. the data for this plot is in a large data frame with a third variable called 'Buffer', there are 5 buffer sizes (250, 500, 1000, 3000, 10000).

to create the plot I simply used 
>plot(percent.forest,metric)

to add in the data about buffer size, I have extracted the percent forest and metric data by:
>buff250<-subset(data1,data1$Buffer==250)
>buff500<-subset(data1,data1$Buffer==500)
>buff1000<-subset(data1,data1$Buffer==1000)
>buff3000<-subset(data1,data1$Buffer==3000)
>buff10000<-subset(data1,data1$Buffer==10000)

i then used the 'points' function to plot the percent forest, metric data points in different colours according to buffer size, using this code (first 2 lines divides the data appropriately, 3rd line is points):
>metric.250<-(log(buff250$metric))
>percent.forest.250<-(buff250$percent.forest)
>points(percent.forest.250,metric.250,col='skyblue')

I repeated this for all 5 buffer sizes, so on the plot (percent.forest,metric) the points are coloured differently according to the size of the buffer used.
This works fine (the next bit is the problem):

Does anyone know how I can get R to draw around the different coloured points, so that i get 5 rings/wiggly lines on the plot that clearly shows the extent of each of the buffers, you can sort of see a pattern in the colours but its not as clear as it would be if I could draw around it). 

If anyone wants to see a picture of the plot (if my explanation isn't clear enough) I'd be happy to email one directly to you (the R instructions says that the mailing list scraps attachments so I've not put one on here)

Thank you for reading this, 
Any help will be greatly appreciated,
sadia  




More information about the R-help mailing list