search for: knn2nb

...escribió: > Hola Sebastian, > > Ellos utilizan GeoDaSpace para calcular la matriz de contigüidad (tambien >> llamada de contactos, pesos, ponderaciones, distancias o interacciones >> espaciales). >> > > Creo que te puedes aproximar a lo que necesitas con la función knn2nb del > paquete spdep. > > Saludos. > > > > > -- > «But Gwindor answered: 'The doom lies in yourself, not in your name.'» > > JRR Tolkien > [[alternative HTML version deleted]]

Estimados usuarios de R: Estoy probando la econometría espacial reproduciendo el paper Introduction to Spatial Econometrics: An application to the study of fertility in Argentina using R. de Herrera Gómez, Marcos; Cid , Juan Carlos and Paz , Jorge Augusto. La diferencia es que voy a usar datos de Uruguay del Censo 2011. Ellos utilizan GeoDaSpace para calcular la matriz de contigüidad (tambien

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]]

​Hola Sebastian,​ Ellos utilizan GeoDaSpace para calcular la matriz de contigüidad (tambien > llamada de contactos, pesos, ponderaciones, distancias o interacciones > espaciales). > Creo que te puedes aproximar a lo que necesitas con la función knn2nb del paquete spdep. Saludos.​ -- «But Gwindor answered: 'The doom lies in yourself, not in your name.'» JRR Tolkien [[alternative HTML version deleted]]

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 List, I'm a very new user to the R system. I'm only beginning to learn the basics, but so far I've been able to do little more than try a few examples, and of course begin reading the documentation. My primary motivation for exploring R is the availability of tools like the 'spdep' package for calculating spatial statistics such as Geary's C and Moran's

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