please read the posting guide
http://www.r-project.org/posting-guide.html
and try to find the differences between the data which come with R and
your own respectively try to produce a reproducible example.
HTH,
Tom
Am 11.05.2012 00:16, schrieb Eder Gerardo Quiñones Sanchez:
Hi,
i'm trying
Hi all,
As long as you're on the subject of the resistanceDistance function, I hope
you don't mind a different question. In a homogeneous landscape, shouldn't
equidistant points have the same resistance values? There is no
directionality to this implementation of the circuitscape-type approach, so
Hi,
i'm trying to use the following code for calculate a Distance Matrix:
*area <- readOGR(dsn="C:/stl_hom", layer="stl_hom")*
*
*
*coords <- coordinates(area)*
*
*
*col.gal.nb*
*
*
*summary(col.gal.nb, coords)*
it is functioning very well with the R-data included, but when i use a data
from a S
Hi,
Please don't cross-post.
A Mantel test is most suited to problems that must be expressed in
terms of distances, as Legendre states, although there is a
mathematical relationship between correlation between distances and
correlation between raw data.
If your main concern is statistical testin
Hi every body.
I have some questions about Mantel Test. I expect that with experience in
spatial analysis of people in this list I can resolve them. Your
explanations and suggestions will help me so much, so, thanks in advance.
For contextualizing. I want to explore the association between some
e
All,
Thanks for help on this. I think that I now understand the ppp object.
Marcelino, thanks for the excellent explanation of implementing the multitype K
function. I think this is the approach that I should take in analyzing the
data, as Mathieu suggested.
Robert, thanks for the link to the
On Thu, 10 May 2012, Maximilian Sproß wrote:
Dear Roger!
Your are right, there are no problems anymore. I did some some comparative
tests with a small subset of the dataset. The number of values in the "pred"
column, which are not finite depends on the bandwidth. With increasing
bandwidth, t
Hi,
with respect to the implementation of the "Bivariate i.e.2-type point
pattern (see package 'spatstat')" you may do something like this:
library(spatstat)
plants.ppp <- ppp( x = example$x, y =example$y, marks=factor(sex),
window = yourwindow),
where "example" is a data.frame with your d
Dear Roger!
Your are right, there are no problems anymore. I did some some
comparative tests with a small subset of the dataset. The number of
values in the "pred" column, which are not finite depends on the
bandwidth. With increasing bandwidth, the NA's disappear.
Unfortunately, I cannot co
Hi!
Why not use, for example, KCross spatstat function, given two point
patterns: one for male individuals and one for female ones?
2012/5/9 Wall, Wade A ERDC-RDE-CERL-IL
> Hi all,
>
> I have a data set that consists of x,y coordinates for individual plants,
> along with sex of the individual.
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