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How to Determine the Relative Smartness Level of a City

Written by @srivassid | Published on 2020/12/7

TL;DR
There are several indicators that have been defined to arrive as a number of smartness levels. These include natural environment, water and waste, transport, economy, education, health and governance indicators. The law, Kleiber's Law, was found by Max Kleiber, a Swiss scientist in 1910. He found that a city that was 10 times as bigger than another was not 10 times more innovative, but 17 times more. A city 50 times bigger was 130 times more creative than a smaller city. The code used in this article can be found here.

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Written by
@srivassid
Data Engineer

Topics and
tags
negative-power-quarter-law|innovation|creativity|agriculture|smart-cities|super-linear-scaling|relative-city-smartness-level|kleibers-law|web-monetization
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: oGRQ_sClU3Hl1DVL3MnK2vlaWbP2aalBmLo9zIWbe0Y