Hi,
I'm trying to use the cluster analysis program Flexscan, which I gather is
similar to Satscan but it computes irregular clusters. This program requires a
polygon adjacency matrix (termed a 'matrix definition file'). The example they
provide has a row for every polygon, and for each row
Maybe gTouches() from the rgeos package.
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
To call in the statistician after the
On Mon, 31 Aug 2015, Paul Lantos wrote:
Hi,
I'm trying to use the cluster analysis program Flexscan, which I gather
is similar to Satscan but it computes irregular clusters. This program
requires a polygon adjacency matrix (termed a 'matrix definition file').
The example they provide has a
I second the `gTouches` suggestion. There's a ref here:
http://stackoverflow.com/a/26499134/1457051 but the gist of it is
(this user needed adjacent polygons in ghana):
library(rgeos)
library(rgdal)
# using http://data.biogeo.ucdavis.edu/data/diva/adm/GHA_adm.zip
ghana <- readOGR("GHA_adm",
On Mon, 31 Aug 2015, boB Rudis wrote:
I second the `gTouches` suggestion. There's a ref here:
http://stackoverflow.com/a/26499134/1457051 but the gist of it is
(this user needed adjacent polygons in ghana):
If this answered the question, it would be OK. But it doesn't, as reading
the link
On Mon, 31 Aug 2015, Seyed Jalil Alavi via R-sig-Geo wrote:
Dear all
I am going to map the forest productivity using geostatistical methodsĀ
like kriging, IDW, etc in R. I would like to publish the reclassed maps
as black and white with different textures in R. I do not know how to do
On Mon, 31 Aug 2015, Seyed Jalil Alavi via R-sig-Geo wrote:
Dear all,
I would like to compare the performance of linear regression model with SAR
models. One of the measures that I want to use is R squared.
Prof. Roger Bivand mentioned in r-sig-geo that "There is no direct equivalent to the
Please find a working script below. The error message was given because
the variable "value" was not present in new.data; the variable was
called "Sample1_Band3".
It is quite unclear what you try to do: interpolating an image at the
image pixels themselves (which will, by definition, return the
I am trying to find any R package that can provide me any build-on function
for computing a 3D neighborhood filter or statistics,... (if that already
exists!), or if not, at least any function from a non-spatial R-package
that could be useful to build my function.
Any info about preexisting R
I have a csv file contains hourly PM10 concentration of 1 march to 7 march.
Please, download from here. I have already plotted all the hourly variogram
(total 161) in a loop by automap package. Here is the coad, this code work
properly library(sp)
library(gstat)
library(rgdal)
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