search for: knearneigh

I was wondering if there is a way in R to find k nearest neighbors of various orders, say order 2, 3, or 4. In otherwords neighbors of neighbors of neighbors. You get the idea. I know that I can use knearneigh(matrix.data, k) but this only gives me the k nearest neighbors and not of a particular order. Thanks in advance. -- View this message in context: http://r.789695.n4.nabble.com/Nearest-Neighbors-tp4637618.html Sent from the R help mailing list archive at Nabble.com.

Hi there fellow R-users, Does anyone know of a function which does exactly what knearneigh{spdep} (finds the k nearest neighbours) does in the package spdep but for more than 2D data? Regards Wayne KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street Manchester M1 6SS England Company Registration Number 2800886 Tel: +44 (0) 161 228 0040 Fax: +44 (0) 161 236 6305 mail...

Hola Freddy. Yo parto de un shape en que tengo los típicos archivos .shp, .sbx, .sbn, .shx y .dbf. En la tabla tengo el área de los poligonos en m2, el perímetro, el estado y el código ISO del estado dispuesto por el SGM. ¿Me puedes orientar un poco más? Gracias, Sebastían. El 14 de agosto de 2013 16:19, Freddy Omar López Quintero < freddy.vate01@gmail.com> escribió: > Hola

...ication from real life. Are there better/faster ways to perform this task using R functions? Even better, is there a free implementation of kd-trees that I could utilize (the one I found did not conform to the ANSI C standard)? Someome pointed to 'spdep' of the R-Sig-Geo project, but 'knearneigh' only accepts 2D data points. Hans Werner Borchers ABB Corporate Research, Germany ________________________________________________________________________ require (class) nearest <- function (X, n, k=3) ## Find k nearest neighbors of X[n, ] in the data frame ## or matrix X, utilizing fu...

Hi group, I'd like to do spatial analysis of my data using the spdep package. It appears that a file of class nb is necessary, but I do not find what that should look like and if there is a function that creates such file for me. How can I create a nb-object of my data points? Thanks, René Eschen. [[alternative HTML version deleted]]

...r each point in A I want to find the k-nearest neighbours in B. Currently, I calculate the distance from each point in A to all the points in B (using rdist.earth() in fields package), sort the points of B by distance and select the k nearest ones. Is there a more efficient way to do this? Function knearneigh {spdep} (using knn() of VR) does something similar but for a matrix with itself and not with another matrix. Is there a function that already does what I want and I could not find? Thanks Angel

hi,friends, we all know that moran's I index and Geary'C index can be used to test spatial autocorrelation in both the area data and point data, but i only can find something on how to calculate on the data of area, and can't find the methods to perform it on the point data, could anybody give me some information, thanks in advance! -- Kind Regards, Zhi Jie,Zhang ,PHD Department of

Hi Are there any more efficient ways of calculating the neighbourhood object for large datasets? I am trying to compute Moran I statistics for a very large data set (over 14,000 points). I have been using moran.test from the spdep package and everything works fine for a small data set (200 points). However, applying the same script to the whole dataset is taking days to compute (it so far has

hello, I want to do a test for spatial correlation. I tried it with geary.test() but I don't understand the required input. x= a numeric vector the same length as the neighbours list in listw (my sampled data, I assume) listw= a listw object created for example by nb2listw (well when I check nb2listw() I get to "neighbours - an object of class nb" - but I couldn't figure

Hi R helpers, Is there a function (package?) in R available which tests "spatial autocorrelation" between points (e.g. vector layer of weather stations)? (e.g. Moran's I...) Via the archives we found out that there is a package 'spdep' which uses grid data for testing spatial autocorrelation. Thanks a lot, Jan

Hi: First my apologies for cross-posting. A few days back I posted my queries ar R-sig-geo but did not get any response. Hence this post. I am working on two parcel-level housing dataset to estimate the impact of various variables on home sale prices. I created the spatial weight metrics in ArcGIS 10 using sale year of four nearest houses to assign weights.  Next, I ran LM tests and then ran