AI-GEOSTATS: Jackknife Literature Source

2003-09-01 Thread Peter Pinn
Hi again,

is there any "primary" literature source for the jackknife algorithm other 
than the one from Deutsch and Journal in the GSLIB users guide ?

Peter

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Re: Follow-up Q Crimestat/Splancs AI-GEOSTATS: point pattern analysis/ R question

2003-09-01 Thread Carolyn & Richard Block
Juliann
I am not certain that Ned Levine, the developer of CrimeStat, has read this.
I will forward it to him. Normal edge corrections don't work very well
in looking at point patterns of crime because incidents of crime tend to
cluster at city boundaries and jurisdictional changes.The program may be
less tested for edge corrections than other things; however, CrimeStat 3 is
now under development.  Notification of any corrections and problems would
be welcome.
Dick
- Original Message - 
From: "Juliann Aukema" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>; "fs" <[EMAIL PROTECTED]>
Sent: Friday, August 29, 2003 3:37 PM
Subject: Follow-up Q Crimestat/Splancs AI-GEOSTATS: point pattern analysis/
R question


> I sent this a week or so ago and am resending because
> I haven't seen it show up. Apologies if it did show up
> for some of you.
>
> Hi thanks for the responses,
>
>Several people suggested using CrimeStat and one
> person sent an R script for Splancs (below). I've
> tried both of these with my data, trying to start as
> simply as possible, and I do get nice looking output
> when I put in the coordinates of all of my points
> (haven't made it to subsets yet). However, when I use
> CrimeStat with rectangular edge correction, my points
> appear to be dispersed -below the envelope for larger
> distances-(randomly distributed if I use no
> correction) and when I use the Splancs script, they
> appear to be aggregated -above the envelope for all
> distances. I used 100 simulation replicates for both
> methods. Any ideas why I would get such opposite
> results? Would it be the edge correction, differences
> in how L(d) is calculated, misinterpretation . . .? I
> must be missing something.
>
> Thanks a lot,
>
>
> Juliann
>
> > library(splancs)
> >
> > file<-"Filename.csv"
> >
> > point<-read.csv(file, header=TRUE, sep=";")
> >
> > box<-array(c(0,1000,1000,0,0,0,1000,1000),
> > dim=c(4,2))
> > s<-seq(0,500,5)
> > rep<-100
> >
> > pointk<-khat(as.points(point), box,s, newstyle=TRUE)
> > UL.khat<-Kenv.csr(length(point$x), box,rep, s)
> >
> > plot(s, sqrt(pointk$khat/pi)-s, type="l",
> >
>
ylim=c(min(c(min(sqrt(pointk$khat/pi)-s),min(sqrt(UL.khat$lower/pi)-s)))-0.5
> >
> >
> ,max(c(max(sqrt(pointk$khat/pi)-s),max(sqrt(UL.khat$upper/pi)-s)))+0.5),
> >
> > main=paste(sub(".csv","",file),"_RK", sep=""),
> > xlab="Distance d (m)",
> > ylab="L(d)-d")
> > lines(s, sqrt(UL.khat$upper/pi)-s, lty=2)
> > lines(s, sqrt(UL.khat$lower/pi)-s, lty=2)
> > lines(s, s*0, lty=1)
> >
> > df<-data.frame(d=s, data=sqrt(pointk$khat/pi)-s,
> > upper=sqrt(UL.khat$upper/pi)-s,
> > lower=sqrt(UL.khat$lower/pi)-s)
> >
> > write.table(df,
> > paste(sub(".csv","",file),"_RK",rep,".csv", sep=""),
> >
> > sep=";", row.names=TRUE)
> >
> > write.table(sqrt(pointk$khats/pi),
> > paste(sub(".csv","",file),"_RKMap.csv",
> > sep=""), sep=";", row.names=TRUE)
> >
> > dev.copy2eps()
> >
> > shell(paste("move rplot.eps
> > ",sub(".csv","",file),"_RK",rep,".eps", sep=""))
>
>
> --Original Post---
> > At 14:05 19.08.2003 -0700, you wrote:
> > >  Good afternoon.   I realize this is slightly
> > >off-topic, but I thought it likely that someone on
> > >this list could help and we could take further
> > >discussion off-list.
> > >  I have a mapped set of about 800 points in a
> > >Roughly rectangular plot and I would like to ask
> > what
> > >is the distribution of these points (random,
> > regular,
> > >aggregated, if aggregated- at what scale). I would
> > >then like to ask the same question about various
> > >subsets of points with respect to the underlying
> > >distribution of points. (For example, suppose all
> > the
> > >points have an aggregated distribution, is a subset
> > of
> > >points aggregated more/less than expected given the
> > >underlying aggregation). I thought Ripley's K would
> > be
> > >the way to go, but have been having trouble getting
> > it
> > >to work. I've been trying to do it in R. I've made
> > >some graphics in R, but I'm really a novice and I
> > find
> > >that the help (including the bit in the Venables
> > and
> > >Ripley S-Plus book) is not quite sufficient to get
> > me
> > >going with the spatial part (I've played with
> > >libraries Spatial, Spatstat, Splancs, GeoR).
> > >   My questions are:
> > >---Is Ripley's K the way to go? Any suggestions on
> > >that? Would you recommend something else?
> > >---Software (preferably inexpensive)
> > recommendations?
> > >---Would anyone be willing to share an R program
> > that
> > >I could modify for my data and/or a sample or
> > partial
> > >data set to make sure I have my data structured
> > >correctly for a particular library/procedure? (I
> > found
> > >this was the best way to make progress in SAS, but
> > I
> > >don't know many R or S-Plus users).
> > >
> > >Thanks a lot.
> > >Juliann
> > >[EMAIL PROTECTED]
> > >
> > >
> > >__
> > >Do you Yahoo!?
> > >Yahoo! SiteBuilder - Free, easy-

Re: AI-GEOSTATS: application of spatial staistics

2003-09-01 Thread Adrian Martinez Vargas

It is preferable to use another data, I think that it is to spaced an in
these area exist many geological formation ware foraminiferous must change.
In internet exist more paleontologycal information, but exist more
information free about environment, geomorphology and other, search in SGS
Web.



King regards

Adrian Martínez Vargas

Departamento de Geología

ISMM, Las Coloradas s/n

Moa, Holguín Cuba

[EMAIL PROTECTED]

[EMAIL PROTECTED]

www.geocities.com/adriangeologo/adrian.html



- Original Message -
From: <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Friday, August 29, 2003 11:00 PM
Subject: AI-GEOSTATS: application of spatial staistics


> Hello,
> I currently am doing a statistics specialization and I wish to apply
spatial
> statistics in my thesis.
> I have a data set with the following characteristics:
>
> 1)A very large area of study: from Panama to Ecuador over Pacific Ocean.
> 2)I have only 31 sampling points each with 30 discrete variables: counts
> of 30 genus of planktonic foraminifera found in each perforation(
drilling).
>
> I would like to know if are there methods in spatial statistics
> I can apply to data sets with these characteristics?
>
> Do I need to project my dataset in another coordinate different to
latitude
> and longitude?
>
> Thank in advance
>
> Carlos H. Cuartas O.
>
>
>
> 
> Acceso rápido a Internet con Epm.Net http://www.epm.net.co
>
>
>
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any useful responses to your questions.
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AI-GEOSTATS: Jackknife Literature Source

2003-09-01 Thread Isobel Clark
Peter

May I suggest Noel Cressie's book Statistics for
Spatial Data (Wiley). He has extensive discussion of
jack knives, bootstraps and such like and an extensive
bibliography.

Isobel Clark
http://geoecosse.bizland.com/whatsnew.htm


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Re: AI-GEOSTATS: application of spatial staistics

2003-09-01 Thread correa sandra
 Hi Adrian: 
As I understand you have 31 samples of the same stratigraphic unit. I suppose that you have 30 genera within at least 300 organisms for each sample? So you really have more data than you think… Since you have 30 genera those will be 30 variables around the study area.
May be it will depend on what kind of analysis are you planning. I think it will be interesting using kriging indicator with categorical variable. Every genera will be one variable and you can get the distribution for each genera. This can be done with the GSLIB package. 
Hope this helps  
Sandra Correa
ITESM
Mexico
Adrian Martinez Vargas <[EMAIL PROTECTED]> wrote:
It is preferable to use another data, I think that it is to spaced an inthese area exist many geological formation ware foraminiferous must change.In internet exist more paleontologycal information, but exist moreinformation free about environment, geomorphology and other, search in SGSWeb.King regardsAdrian Martínez VargasDepartamento de GeologíaISMM, Las Coloradas s/nMoa, Holguín Cuba[EMAIL PROTECTED][EMAIL PROTECTED]www.geocities.com/adriangeologo/adrian.html- Original Message -From: <[EMAIL PROTECTED]>To: <[EMAIL PROTECTED]>Sent: Friday, August 29, 2003 11:00 PMSubject: AI-GEOSTATS: application of spatial staistics> Hello,> I currently am doing a statistics specialization and I wish to applyspatial>
 statistics in my thesis.> I have a data set with the following characteristics:>> 1)A very large area of study: from Panama to Ecuador over Pacific Ocean.> 2)I have only 31 sampling points each with 30 discrete variables: counts> of 30 genus of planktonic foraminifera found in each perforation(drilling).>> I would like to know if are there methods in spatial statistics> I can apply to data sets with these characteristics?>> Do I need to project my dataset in another coordinate different tolatitude> and longitude?>> Thank in advance>> Carlos H. Cuartas O. > Acceso rápido a Internet con Epm.Net http://www.epm.net.co --> * To post a message to the list, send it to [EMAIL PROTECTED]> * As a general service to the users, please remember to post a
 summary ofany useful responses to your questions.> * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and"unsubscribe ai-geostats" followed by "end" on the next line in the messagebody. DO NOT SEND Subscribe/Unsubscribe requests to the list> * Support to the list is provided at http://www.ai-geostats.org>--* To post a message to the list, send it to [EMAIL PROTECTED]* As a general service to the users, please remember to post a summary of any useful responses to your questions.* To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list* Support to the list is provided at http://www.ai-geostats.org
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Re: AI-GEOSTATS: application of spatial staistics

2003-09-01 Thread correa sandra

 Hi Adrian: 
As I understand you have 31 samples of the same stratigraphic unit. I suppose that you have 30 genera within at least 300 organisms for each sample? So you really have more data than you think… Since you have 30 genera those will be 30 variables around the study area.
May be it will depend on what kind of analysis are you planning. I think it will be interesting using kriging indicator with categorical variable. Every genera will be one variable and you can get the distribution for each genera. This can be done with the GSLIB package. 
Hope this helps  
Sandra Correa
ITESM
Mexico
Adrian Martinez Vargas <[EMAIL PROTECTED]> wrote:
It is preferable to use another data, I think that it is to spaced an inthese area exist many geological formation ware foraminiferous must change.In internet exist more paleontologycal information, but exist moreinformation free about environment, geomorphology and other, search in SGSWeb.King regardsAdrian Martínez VargasDepartamento de GeologíaISMM, Las Coloradas s/nMoa, Holguín Cuba[EMAIL PROTECTED][EMAIL PROTECTED]www.geocities.com/adriangeologo/adrian.html- Original Message -From: <[EMAIL PROTECTED]>To: <[EMAIL PROTECTED]>Sent: Friday, August 29, 2003 11:00 PMSubject: AI-GEOSTATS: application of spatial staistics> Hello,> I currently am doing a statistics specialization and I wish to applyspatial>
 statistics in my thesis.> I have a data set with the following characteristics:>> 1)A very large area of study: from Panama to Ecuador over Pacific Ocean.> 2)I have only 31 sampling points each with 30 discrete variables: counts> of 30 genus of planktonic foraminifera found in each perforation(drilling).>> I would like to know if are there methods in spatial statistics> I can apply to data sets with these characteristics?>> Do I need to project my dataset in another coordinate different tolatitude> and longitude?>> Thank in advance>> Carlos H. Cuartas O. > Acceso rápido a Internet con Epm.Net http://www.epm.net.co --> * To post a message to the list, send it to [EMAIL PROTECTED]> * As a general service to the users, please remember to post a
 summary ofany useful responses to your questions.> * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and"unsubscribe ai-geostats" followed by "end" on the next line in the messagebody. DO NOT SEND Subscribe/Unsubscribe requests to the list> * Support to the list is provided at http://www.ai-geostats.org>--* To post a message to the list, send it to [EMAIL PROTECTED]* As a general service to the users, please remember to post a summary of any useful responses to your questions.* To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list* Support to the list is provided at http://www.ai-geostats.org
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