Literature DB >> 33925218

Entropy of the Land Parcel Mosaic as a Measure of the Degree of Urbanization.

Agnieszka Bitner1, Marcin Fialkowski2.   

Abstract

Quantifying the urbanization level is an essential yet challenging task in urban studies because of the high complexity of this phenomenon. The urbanization degree has been estimated using a variety of social, economic, and spatial measures. Among the spatial characteristics, the Shannon entropy of the landscape pattern has recently been intensively explored as one of the most effective urbanization indexes. Here, we introduce a new measure of the spatial entropy of land that characterizes its parcel mosaic, the structure resulting from the division of land into cadastral parcels. We calculate the entropies of the parcel areas' distribution function in different portions of the urban systems. We have established that the Shannon and Renyi entropies R0 and R1/2 are most effective at differentiating the degree of a spatial organization of the land. Our studies are based on 30 urban systems located in the USA, Australia, and Poland, and three desert areas from Australia. In all the cities, the entropies behave the same as functions of the distance from the center. They attain the lowest values in the city core and reach substantially higher values in suburban areas. Thus, the parcel mosaic entropies provide a spatial characterization of land to measure its urbanization level effectively.

Entities:  

Keywords:  Renyi entropy; Shannon entropy; city growth; land division pattern; land fragmentation; land parcel; spatial analysis; urbanization

Year:  2021        PMID: 33925218     DOI: 10.3390/e23050543

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  9 in total

1.  Multifractal to monofractal evolution of the London street network.

Authors:  Roberto Murcio; A Paolo Masucci; Elsa Arcaute; Michael Batty
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-12-17

2.  From complex structures to complex processes: percolation theory applied to the formation of a city.

Authors:  Agnieszka Bitner; Robert Hołyst; Marcin Fiałkowski
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-09-25

3.  Spatial point pattern and urban morphology: Perspectives from entropy, complexity, and networks.

Authors:  Hoai Nguyen Huynh
Journal:  Phys Rev E       Date:  2019-08       Impact factor: 2.529

4.  Entropy, complexity, and spatial information.

Authors:  Michael Batty; Robin Morphet; Paolo Masucci; Kiril Stanilov
Journal:  J Geogr Syst       Date:  2014-09-24

5.  Spatial Measures of Urban Systems: from Entropy to Fractal Dimension.

Authors:  Yanguang Chen; Linshan Huang
Journal:  Entropy (Basel)       Date:  2018-12-19       Impact factor: 2.524

6.  Entropy and its Application to Urban Systems.

Authors:  Ben Purvis; Yong Mao; Darren Robinson
Journal:  Entropy (Basel)       Date:  2019-01-12       Impact factor: 2.524

7.  Calculating the Wasserstein Metric-Based Boltzmann Entropy of a Landscape Mosaic.

Authors:  Hong Zhang; Zhiwei Wu; Tian Lan; Yanyu Chen; Peichao Gao
Journal:  Entropy (Basel)       Date:  2020-03-26       Impact factor: 2.524

8.  Cities, from Information to Interaction.

Authors:  Vinicius M Netto; Edgardo Brigatti; João Meirelles; Fabiano L Ribeiro; Bruno Pace; Caio Cacholas; Patricia Sanches
Journal:  Entropy (Basel)       Date:  2018-10-31       Impact factor: 2.524

9.  Entropy and order in urban street networks.

Authors:  Agust Gudmundsson; Nahid Mohajeri
Journal:  Sci Rep       Date:  2013-11-25       Impact factor: 4.379

  9 in total

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