Dear list,
I am trying to explore spatial patterns in some density data that I have
(attached txt- RDdensityChange). I have successfully carried out Moran's I
correlogram on the data using the library (pgirmess). I now wish to carry out
an
anisotropic correlogram, I have looked at the ncf and
Quick question; does anyone know if it is possible to get zonal/neighbor/focal
stats for polygons like you can for rasters?
I want each polygon to be assigned a value that is the mean of its
adjacent neighbor polygons... I would prefer to do this in arcgis but can't
work
out how to, so if
around this.
Thank you for your response
sadz
From: Tom Gottfried tom.gottfr...@wzw.tum.de
To: r-sig-geo@r-project.org
Sent: Mon, 28 February, 2011 9:41:25
Subject: Re: [R-sig-Geo] predict a map from point data
Hi Sadz,
Am 28.02.2011 01:54, schrieb Sadz A:
Hi
with the predict function).
I have also tried linear modelling, Gams and inverse interpolations.
Does anyone have any ideas on how I could get a spatial map of volume
distribution from the point data?
Any help is appreciated,
thank you
sadz
ps- if anything is unclear I would be happy to clarify
I have some networks in GIS shape file (vector) format, the data I have are
road
maps that I digitised from satellite images in ArcGIS. (I can change them to
raster or Ascii), is there a way to convert them into matrix that can be loaded
and analysed with igraph in R?
I would like nodes to be
