Historical urban growth in Europe (1300–1800)

González‐Val, Rafael

doi:10.1111/pirs.12365

Cited by 7 publications

(6 citation statements)

References 63 publications

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“…First, we tested whether this distribution provides an acceptable fit to the geographical samples of cities. For each geographical sample, we used the statistical test for goodness of fit proposed by Clauset, Shalizi, and Newman (2009), 10 and recently used by González-Val (2019b) to analyze the evolution of the European urban system in the period 1300-1800. The test is based on a measurement of the 'distance' between the empirical distribution of the data and the hypothesized Pareto distribution.…”

Section: The Spatial City-size Distributionmentioning

confidence: 99%

US city-size distribution and space

González‐Val

2019

Spatial Economic Analysis

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This paper focuses on spatial city-size distribution in the United States. It proposes a new distance-based approach to analyze the influence of distance on the city-size distribution parameter by considering the Pareto distribution and using data from different definitions of US cities in 2010. Considering all possible combinations of cities within a 300-mile radius, the results indicate that the Pareto distribution cannot be rejected in most cases regardless of city size. Placebo regressions validate the results, thereby confirming the significant effect of geography on the Pareto exponent.

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Section: The Spatial City-size Distributionmentioning

confidence: 99%

US city-size distribution and space

González‐Val

2019

Spatial Economic Analysis

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“…4). The exponent for European cities in the middle ages seems to decrease after 1500 (Bairoch, Batou & Chèvre, 1987;Gonzáles-Val, 2019), and only then Zipf's law was reported to emerge for cities in Europe (Dittmar, 2011).…”

Section: Statistics For Population In City and In Countrymentioning

confidence: 99%

The power-law distribution in the geometrically growing system: Statistic of the COVID-19 pandemic

Kim¹

2022

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Recently, we developed a theory of a geometrically growing system. Here we show that the theory can explain some phenomena of power-law distribution including classical demographic and economic and novel pandemic instances, without introduction of delicate economic models but only on the statistical way. A convexity in the low-size part of the distribution is one peculiarity of the theory, which is absent in the power-law distribution. We found that the distribution of the geometrically growing system could have a trend to flatten in the evolution of the system so that the relative ratio of size within the system increases. The system can act as a reverse machine to covert a diffusion in parametric space to a concentration in the size distribution.

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“…Therefore, this procedure allows us only to conclude whether the power law achieves a plausible fit to the data. This test was previously applied to European and US city size data previously by González-Val (2019a, 2019d.…”

Section: The Spatial City Size Distributionmentioning

confidence: 99%

“…Now, we follow the distance-based approach of Gonza´lez-Val (2019a, 2019c to analyse the influence of distance on the city size distribution parameters. In this method, space is introduced through the selection of geographical samples of cities based on distances.…”

Section: The Spatial City Size Distributionmentioning

confidence: 99%

The Spanish spatial city size distribution

González‐Val

2020

Environment and Planning B: Urban Analytics and City Science

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This paper analyses the Spanish city size distribution from a new perspective, focusing on the role played by distance. Using un-truncated data from all cities in 1900 and 2011, we study the spatial distribution of cities and how the city size distribution varies with distance. First, K-densities are estimated to identify different spatial patterns depending on city size, with significant patterns of dispersion found for medium-sized and large cities. Second, using a distance-based approach that considers all possible combinations of cities within a 200-kilometre radius, we analyse the influence of distance on the city size distribution parameters, considering both the Pareto and lognormal distributions. The results validate the Pareto distribution in most of the cases regardless of city size, and the lognormal distribution at short distances.

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Historical urban growth in Europe (1300–1800)

Cited by 7 publications

References 63 publications

US city-size distribution and space

US city-size distribution and space

The power-law distribution in the geometrically growing system: Statistic of the COVID-19 pandemic

The Spanish spatial city size distribution

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