u, 4 Mar 2010, Jonathan Thayn wrote:
>
>> I'm sure there is a simple way to do this but I can't seem to find it. I
>> have an nb object and a list of the landcover types associated with each
>> node in the neighborhood. I want to create a table showing how many
I'm sure there is a simple way to do this but I can't seem to find it. I have
an nb object and a list of the landcover types associated with each node in
the neighborhood. I want to create a table showing how many times each
landcover class borders every other landcover class, like in the examp
e-
>> From: r-sig-geo-boun...@stat.math.ethz.ch [mailto:r-sig-geo-
>> boun...@stat.math.ethz.ch] On Behalf Of Jonathan Thayn
>> Sent: Friday, January 29, 2010 5:02 PM
>> To: r-sig-geo@stat.math.ethz.ch
>> Subject: [R-sig-Geo] NDVI time-series filter
>>
>>
I need to smooth a collection of annual NDVI time-series data for a fairly
large image. Right now I am using an interruptive method that compares the
difference between each point and the mean of its two neighbors. This process
repeats until a threshold is reached. It works well, but it takes a
I tried using the seek() function, but it did not work as I thought it would.
Perhaps I have done something wrong:
> writeBin(1:20,"desktop/test.bip",size=2,endian="big")
> cc <- file("desktop/test.bip","rb")
> readBin(cc,"integer",n=1,size=2,endian="big")
[1] 1
> seek(cc,13)
[1] 2
> readBin(cc,
Hopefully there is a simple solution to this problem. I process really large
satellite images in R and, in order to not offend the memory-limitation
demi-gods, I open each row of the imagery one at a time, process it, write the
results, and then open the next line. I use readBin() to open each l
