From rhoskins@home.com Thu Jun  3 15:44:00 1999
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From: "Richard E. Hoskins" <rhoskins@home.com>
To: <waphgis@u.washington.edu>
References: <000f01beae07$60c85b60$47e48e8c@Computer096.sdrg>
Subject: Re: areal interpolation
Date: Thu, 3 Jun 1999 15:43:58 -0700
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DO any of those papers explain how to calculate a standard error for an
aerial interpolation?

Richard Hoskins


----- Original Message -----
From: Tom Howze <thowze@u.washington.edu>
To: <waphgis@u.washington.edu>
Sent: Thursday, June 03, 1999 2:23 PM
Subject: RE: areal interpolation


> Thanks Lance.  This is exactly what I was hoping for.
>
> I've read some of the Flowerdew papers.  I'll check these out.
>
> Cheers,
>
> Tom
>
> -----Original Message-----
> From: WAPHGIS-owner@u.washington.edu
[mailto:WAPHGIS-owner@u.washington.edu]
> On Behalf Of Lance  Waller
> Sent: Thursday, June 03, 1999 1:19 PM
> To: waphgis@u.washington.edu
> Subject: Re: areal interpolation
>
> Tom:
>
> You might check some recent papers by Andy Mugglin and Brad Carlin
> at the University of Minnesota.
>
> Mugglin, A., and Carlin, B.P. (1998) Hierarchical modeling in GIS:
> population interpolation over incompatible zones.  Journal of
> Agricultural, Biological, and Environmental Statistics, 3, 111-130.
> (this references other literature including some work by Flowerdew
> and Green that you may be interested in).
>
> Mugglin, A.S., Carlin, B.P., Zhu, L., and Conlon E. (1999) ``Bayesian
> areal interpolation, estimation, and smoothing: an inferential
> approach for GIS'' to appear in Environment and Planning A.
>
> Both are available (as compressed postscript files) at
>
> http://www.biostat.umn.edu/cgi-bin/rrs?print+1997
>
> (under the research report, 1997 listing at http://www.biostat.umn.edu
> if the direct link doesn't work).
>
> Hope this helps.
>
> Lance Waller
>
>
> On Thu, 3 Jun 1999, Tom Howze wrote:
>
> >
> > Greetings.
> >
> > I just signed on to this list in the last month and apologize if this
> topic
> > has been covered recently.
> >
> > I am looking for any reference material (including people :)) that might
> aid
> > me in my quest for an accurate methodology to perform small area
> estimation,
> > or interpolation.
> >
> > I am working to collect archival data at various geographies that are
> > indicators of risk and protective factors for adolescent substance abuse
> and
> > delinquency.  Much of the data I'm receiving is at a larger geography
> > (county, zip code, etc.) than the areas being studied.  I am looking to
> find
> > a method to estimate or interpolate the data from the larger geographies
> to
> > smaller geographies (blocks, block groups, neighborhoods, etc.).
> >
> > Has anyone worked on this problem and what are some of the basic data
> > necessities needed to be able to estimate the smaller areas accurately?
I
> > have seen a couple different methods of doing this, but am looking for
> > any/all hands on experience you might have.
> >
> > Cheers,
> >
> > Tom Howze
> > Geographer
> > Social Development Research Group
> > University of Washington
> >
> >
> >
>
>

.