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


* By using the ai-geostats mailing list you agree to follow its rules 
( see http://www.ai-geostats.org/help_ai-geostats.htm )

* To unsubscribe to ai-geostats, send the following in the subject or in the 
body (plain text format) of an email message to [EMAIL PROTECTED]

Signoff ai-geostats

Reply via email to