On Mon, 10 Jan 2005, David Stinchcomb wrote:
> This is a common concern with health data. The reference below has a
> good discussion of the issues and survey of possible methods. Much
> depends on what operations you wish to perform on the masked data.
There was an interesting paper at the AAG last year by Michael Leitner:
Leitner M. and A. Curtis (2004) Cartographic Guidelines for Geographically
Masking the Location of Confidential Point Data. Cartographic
Perspectives, No. 49, Fall 2004 (in press).
> -- Dave Stinchcomb
> Armstrong MP, Rushton G, Zimmerman DL. 1999. Geographically Masking
> Health Data to Preserve Confidentiality. Statistics in Medicine 18:497-525.
> Mark Coleman wrote:
> > Greetings,
> > I am exploring a research idea which will make use of a proprietary
> > set of data on a large number of individual commercial buildings. Due
> > to restrictions imposed by the organization that collects this data,
> > information will not be distributed if it allows for the
> > identification of the individual properties. Thus one can obtain data
> > on aggregations of the data, but the individual data points
> > themselves. The exception is that data can be released if it is
> > sufficiently "masked", thus ensuring the confidentiality of the
> > specific data points.
> > I have developed what I consider an interesting hypothesis I wish to
> > test using this data; one that requires the use of spatial techniques
> > and hence some sort of specific geographic identifier (the raw data
> > contains lat-long coordinates). Given this, is there some sort of
> > mathematical translation one can perform on conventional lat-long
> > coordinates that will disguise the true location of the underlying
> > data, yet preserve the spatial characteristics of the data?
> > Thanks,
> > -Mark
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Breiviksveien 40, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93