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Thanks for the continued advice. I am new to a lot of this and it is quite a learning curve for me. I have been reading more material on this subject and I am still not sure of what method is most suitable. Jeff, the multivariate clustering you suggest sounds right, but I thought I should further clarify what I'm trying to do. Within a region of around 1500 sq km, I have approximately 20,000 properties, a mix of farms and forest. Each property is a polygon of varying shape and size that I have characterised by a number of variables including area, land value, proportion of tree cover and proportion of land with slope > 15 %. I hope to determine clusters of similar properties based on all variables at once. I do not know ahead of time how many clusters there will be; I'm hoping this will fall out of the analysis. I think I also need a distance element. For instance, there might be multiple clusters that are the same and would otherwise be grouped together, except that they are located too far apart in the region. I hope this is clear. Thank you for all suggestions thus far - thought the extra detail above might help refine the best methodology for this work. Alexei
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03-17-2011
04:44 PM
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Jeff & Lauren, Thank you both for your help. I knew there had to be more appropriate methods out there! I'll check out the leads you suggested and see how I go. Lauren - the new tool you're developing really sounds like it would fit in with what I'm trying to do. Thanks, Alexei
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03-16-2011
02:38 PM
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Hi, Within a set region, I would like to be able to find clusters of parcels based on multiple variables such as property value and proportion of tree cover. Cluster analysis using Anselin Local Moran's I seems close to want I want to do, but it appears that clusters can only be formed against one variable at a time. Am I on the right track? Any help or suggestions would be greatly appreciated. Alexei
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03-15-2011
06:18 PM
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