On Wed, 8 Apr 2009, x wong wrote:

Thank you very much, that is very helpful.


x.w.

On Wed, Apr 8, 2009 at 12:47 PM, rick reeves <[email protected]> wrote:

Assuming that this dataset fits within the confines of R, this could be
done with sp package:  spdistsN1() function
See attached sample solution:


http://nceas.ucsb.edu/scicomp/GISSeminar/UseCases/AssignClosestPointsR/AssignClosestPointsR.html

Hope this helps! RR


Note that this will be inefficient in that it calculates all the distances. I have an off-CRAN package interfacing ANN, which - given two sets of points, returns the k nearest in the first set (with distances) for each point in the second set. ANN builds a tree of the first set, so searches for nearest neighbours efficiently. Look for:

http://spatial.nhh.no/R/etc/ann*

The Windows binary wasn't built for the current release of R, so probably needs rebuilding - let me know if you use Windows, and I'll re-build it.

Hope this helps,

Roger


Jonathan Greenberg wrote:

It seems that a raster-based approach would make more sense, rather than
the hugely computationally inefficient approach you are suggesting -- how
about using a least cost path or euclidean distance approach?  Both are
available in many GIS packages (ArcMap, GRASS GIS, etc...)

--j

x wong wrote:

dear all,



I have a raster GIS map converted to points. Now, I am trying to
calculate
the nearest neighbor distance for every point to a cluster of points
within
this map. Since the number of points is more than two millions, I am
wondering whether there is a computation efficient way to do this.



The following is what the data looks like:

point_id,x_coord,y_coord,class

675,-821292,6896866,GL

738,-819294,6895866,GL

803,-819294,6894867,GL

804,-818295,6894867,GL

805,-817296,6894867,GL

806,-816297,6894867,RCK

873,-818296,6893867,GL

874,-817297,6893867,GL

875,-816298,6893868,RCK

876,-815299,6893868,RCK

877,-814300,6893868,RCK

878,-813300,6893868,GL

945,-817297,6892867,GL

946,-816298,6892868,RCK

947,-815299,6892868,RCK

948,-814300,6892868,RCK

949,-813301,6892868,GL

950,-812302,6892869,GL

951,-811303,6892869,GL

1021,-816298,6891868,RCK

1023,-814300,6891868,RCK

1024,-813301,6891869,GL

1025,-812302,6891869,GL

1027,-810304,6891869,GL

1028,-809305,6891870,GL

1029,-808306,6891870,GL

1098,-816299,6890868,RCK

1099,-815300,6890868,RCK

1100,-814301,6890868,GL

1101,-813302,6890869,GL

............................................



I want to calculate, for example, the nearest distances for all GL points
to
the RCK class.





X.W.

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--
Rick Reeves
Scientific Programmer/Analyst and Data Manager
National Center for Ecological Analysis and Synthesis
UC Santa Barbara
www.nceas.ucsb.edu
805 892 2533



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Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: [email protected]

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