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Common power laws for cities and spatial fractal structures

Citation

Mori, Tomoya; Smith, Tony; Hsu, Wen-Tai (2020), Common power laws for cities and spatial fractal structures, Dryad, Dataset, https://doi.org/10.5061/dryad.8gtht76k5

Abstract

SI Datasets S1 for "Common power laws for cities and spatial fractal structures"

i) cities.zip : This file includes six CSV files. For each country, there is a corresponding file containing the population sizes and location information of cities. In each file, there are four columns: city ID (UA), population size (POP), longitude (LON) and latitude (LAT) of the the most densely inhabited location in the city according to the geodetic reference system, WGS1984.

ii) distance_computation.zip : This file includes a manual for the computation of bilateral distances and travel time among cities, as well as three associated python codes.

iii) distances.zip : This file includes six CSV files. For each country, there is a corresponding file containing the shortest bilateral road distance and driving time between each pair of cities. In each file, there are four columns: origin city ID (ORIG), destination city ID (DEST), the shortest-path distance in meters (DISTANCE), and the driving time along the shortest-time path in seconds (DURATION), where only the cases with ORIG<DEST are contained.