New Method of Measuring Urbanity (living, vs., suburban)

[grega94]

I know it has its flaws, I was bored and just wanted to do some comparisons and number crunching. Anyways like I said earlier it's not realy a measurement of urbanity it's just that I didn't know what to call it.

[Yanagisawa]

Originally Posted by grega94

I know it has its flaws, I was bored and just wanted to do some comparisons and number crunching. Anyways like I said earlier it's not realy a measurement of urbanity it's just that I didn't know what to call it.

I admire you for what you have been trying to do

[grega94]

I think what it's actually measuring is the number of 1 million plus cities per 1 million people.

[grega94]

Originally Posted by Yanagisawa

I admire you for what you have been trying to do

Thank you

[jtur88]

You've arbitrarily set your threshold at 1,000,000, and have accepted a wide range of dissimilar national criteria as to what constitutes the boundary of a count area. In other words, your results are so arbitrarily constructed, that a reasonably observant person could rank the relative urbanity of those countries without referring to any data at all, and probably come up with similar results.

What if you set your definition threshold at 500,000, or 2,000,000, or 873,094? Why would that result be less valid than if you use 1,000,000? What if you used Nigeria's definition of "metro" and applied it to France, and vice versa?

[grega94]

Originally Posted by jtur88

You've arbitrarily set your threshold at 1,000,000, and have accepted a wide range of dissimilar national criteria as to what constitutes the boundary of a count area. In other words, your results are so arbitrarily constructed, that a reasonably observant person could rank the relative urbanity of those countries without referring to any data at all, and probably come up with similar results.

What if you set your definition threshold at 500,000, or 2,000,000, or 873,094? Why would that result be less valid than if you use 1,000,000? What if you used Nigeria's definition of "metro" and applied it to France, and vice versa?

Thank you for reminding me again for who knows how much how invalid my measurement is for urbanity. As a said just recently is that is measuring how many 1 million or more sized cities there are for every million people in that country. Of course it's a pretty useless measurement but that is what it is. I no longer consider as a measurement of urbanity, I repeat, IT IS NOT A MEASURMENT OF URBANITY.

[Yanagisawa]

Originally Posted by jtur88

You've arbitrarily set your threshold at 1,000,000, and have accepted a wide range of dissimilar national criteria as to what constitutes the boundary of a count area.

I thought most measurements are arbitrarily set.

Quickly changing demographics in decades to centuries. Less than 200-300 years ago, our own current World literally had only one city with titles of reaching 1 million. Farm agricultural revolution made us stay rural. Later on, Industrialization along Factories forcefully putting us into urban occupation. Eventually, revolutionary modern digital information age among Computers Electronics Clean Tech. Thus, allowing our own communities to grow magnify.


https://en.wikipedia.org/wiki/World_population

Explaining visuals. I really don’t understand why the owners of the Map aren’t affirmatively establishing future samples from the years of 2010-2018 especially. Although, the year of 2006 is material applicable useful. My only qualm or question of confusion is why Persian Gulf megalopolises aren’t on the item? Abu Dhabi, Dubai UAE, Doha Qatar, Muscat Oman. And really no Panama City Panama, Astana Kazakhstan, Sofia Bulgaria, finally Riga Latvia.

[theurbanfiles]

I think it can be useful, but perhaps needs a bit of tweaking. When I really think about urbanity, I'm thinking about population density. How dense does a city feel, or the country overall for that matter? I think population numbers, and numbers of cities in that regard does matter, but for an algorithm to truly be complete, it has to perhaps mix multiple variables and then almost be somewhat of a statistical test for significance (like a One Way ANOVA? I'm not sure, exactly). Basically meaning, unlike some, I don't think the number of cities over 1 Million is necessarily a bad tool (I do think it is a threshold point). But, perhaps somehow combining that with population densities of said cities would be helpful as well (for example, France at 66.6. I don't necessarily think France SHOULD be on the world leaderboard as it has a lot of open and rural space and only one truly major, urbane city. But it should be decently higher. Lyon, for example, at 27,095 PSQM is denser within city limits than NYC. While only 3 of the Top 10 US cities in population (Philadelphia, Chicago and New York City, would sniff the Top 30 or so densest European cities.

[grega94]

Originally Posted by cavsfan137

I think it can be useful, but perhaps needs a bit of tweaking. When I really think about urbanity, I'm thinking about population density. How dense does a city feel, or the country overall for that matter? I think population numbers, and numbers of cities in that regard does matter, but for an algorithm to truly be complete, it has to perhaps mix multiple variables and then almost be somewhat of a statistical test for significance (like a One Way ANOVA? I'm not sure, exactly). Basically meaning, unlike some, I don't think the number of cities over 1 Million is necessarily a bad tool (I do think it is a threshold point). But, perhaps somehow combining that with population densities of said cities would be helpful as well (for example, France at 66.6. I don't necessarily think France SHOULD be on the world leaderboard as it has a lot of open and rural space and only one truly major, urbane city. But it should be decently higher. Lyon, for example, at 27,095 PSQM is denser within city limits than NYC. While only 3 of the Top 10 US cities in population (Philadelphia, Chicago and New York City, would sniff the Top 30 or so densest European cities.

But France is not on the leaderboard, it's actually ranked extremely low, the lower the score the higher the rank.

So if I were to put the countries in rank they would be the following for metros.

Country..............#city.............score
Bolivia...................3...................3.5
Israel....................2.....................4. 1
Syria......................4.................4.5
Australia.................5.................4.8
Portugal.................2......................5. 2
Belgium.................2.....................5.6
Taiwan...................4..................5.8
Iraq.......................5.................7.2
US.......................44................7.3
Ecuador..................2....................7.6
Canada..................5.................7.9
Colombia...............6.................8.0
Venezuela...............4.................8.3
Morocco.................4..................8.5
Netherlands............2......................8.5
Mexico.................14................8.7
Turkey...................8................9.7
Malaysia.................3................10.2
South Africa............5................10.8
Ukraine..................4................11.1
Iran......................7................11.2
Brazil...................18...............11.3
Pakistan...............17...............11.3
Cameroon...............2...................11.3
Germany................7...............11.5
Spain.....................4................11.6
Angola...................2....................12.2
EU.......................41...............12.3
Japan...................10..............12.7
UK........................5................12.9
Russia..................11..............13.0
China..................101...............13.4
Ghana....................2...................13.5
Argentina................3................14.5
Italy......................4................15.2
Dem Rep of Congo...5................15.5
Peru......................2...................15.6
France...................4................16.7
Burma....................3.................17.2
Indonesia.............14...............18.2
Poland...................2..................19.2
Nigeria...................9..............19.7
India....................57...............21.2
Kenya...................2.....................22.5
Philippines..............4................25.4
Egypt.....................2..................44.6
Vietnam.................2...................45.3
Bangladesh.............3.................52.

and for city proper

Country.............#Cities........Score
Australia...................5............4.8
S. Korea...................9............5.7
Saudi Arabia..............5............6.2
Ukraine....................5............8.9
China....................160............8.5
Iran.........................8............9.8
Turkey.....................7...........11.1
Japan.....................11...........11.5
Brazil.....................17...........11.9
Canada.....................3...........11.9
Russia....................12...........12.0
Colombia..................4...........12.1
Mexico....................10...........12.2
Egypt.......................6...........14.9
Indonesia................14...........18.2
Spain.......................2...........23.2
India......................46...........26.3
EU.........................18...........28.2
US.........................10...........32.1
France.....................1...........66.6
Bangladesh...............2...........78.3
Nigeria....................11..........16.1