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Anyway, the answer is, yes, I can do both the arithmatic and the geometric mean per mile of each pair ... I'm getting on that right now. I've been accused of being a Marxist, yet while Harpo's my favourite, it's Groucho I'm always quoting. Odd, that.
I did the arithmatic mean first, but it is just the sum scaled by a factor of 0.5. But since the central place hierarchy tends to be a log-linear relationship, the geometric mean felt like it was probably better.
And who knows ... one day in the distant past I may have actually read some literature that suggested that the geometric mean is the preferable measure in general for this situation ... I definitely knew a lot more abstract regional economics stuff a decade ago, even if I knew a lot less about the real world problems of fighting for better public transport. I've been accused of being a Marxist, yet while Harpo's my favourite, it's Groucho I'm always quoting. Odd, that.
antilog( (log(x1)+log(x2))/2 )
which in direct arithmatic is:
(x1*x2)^.5 I've been accused of being a Marxist, yet while Harpo's my favourite, it's Groucho I'm always quoting. Odd, that.
Lower cutoff at 100 miles, upper cutoff at 580 miles, all values to geo-mean 10,000/mile.
39,508 New York / Boston 37,435 Los Angeles / San Diego 33,476 New York / Philadelphia 31,627 New York / Baltimore 27,073 New York / Providence 21,625 Chicago / Detroit 20,978 New York / Washington 18,013 Chicago / Indianapolis 15,923 Dallas / Houston 14,717 Los Angeles / Phoenix 14,335 Orlando / Tampa 14,285 Los Angeles / Las Vegas 13,777 Washington / Virginia Beach 12,687 Seattle / Portland 12,625 New York / Cleveland 12,506 Washington / Pittsburgh 11,828 Indianapolis / Cincinatti 11,140 Houston / San Antonio 11,114 Chicago / Cleveland 10,901 Miami / Orlando 10,333 Chicago / Minneapolis I've been accused of being a Marxist, yet while Harpo's my favourite, it's Groucho I'm always quoting. Odd, that.
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