LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (July 2005, week 2)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Thu, 14 Jul 2005 02:36:18 -0400
Reply-To:     Richard Ristow <wrristow@MINDSPRING.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Richard Ristow <wrristow@MINDSPRING.COM>
Subject:      Re: Cluster Analysis: more questions
In-Reply-To:  <200507132227.j6DMRBfD031614@listserv.cc.uga.edu>
Content-Type: text/plain; charset="us-ascii"; format=flowed

At 06:27 PM 7/13/2005, Talbot Michael Katz wrote:

>SAS has three main clustering procedures, CLUSTER, FASTCLUS, and >MODECLUS. All three will accept your raw "coordinate" data; CLUSTER >and MODECLUS also accept distance data. FASTCLUS and MODECLUS will >compute their own Euclidean distances based on >your coordinate data (and it will treat latitude and longitude as if >they are x and y coordinates, which they're not) If all your data is >reasonably localized -- say within the Northeast corridor, or the >Southwest, or even the continental United States -- you might be able >to get away with Euclidean distances, even based directly on latitude >and longitude.

Over a small area, longitude and latitude work approximately as Euclidean coordinages, but NOT of equal length. The distance represented by a minute of latitude is constant; the distant represented by a minute of longitude is the same constant times the cosine of the latitude. Around 41 degrees latitude (north or south), a longitude degree is about 0.75 as long as a latitude degree; that correction applies no matter how small the distances are.


Back to: Top of message | Previous page | Main SAS-L page