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Examining urban functions along ametropolitan gradient: a geographically weighted regression tells you more

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00500039" target="_blank" >RIV/86652079:_____/19:00500039 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007%2Fs12076-018-00221-x" target="_blank" >https://link.springer.com/article/10.1007%2Fs12076-018-00221-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s12076-018-00221-x" target="_blank" >10.1007/s12076-018-00221-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Examining urban functions along ametropolitan gradient: a geographically weighted regression tells you more

  • Original language description

    Urban expansion in advanced countries is the result of inherent transformations in settlement forms and socioeconomic functions leading to new metropolitan configurations. Assessing latent shifts from mono-centric structures to more fragmented, low-density and spatially-decentralized models was complicated by emerging processes of urban sprawl. In these regards, the present study proposes an original approach to the analysis of metropolitan configurations using a Geographically Weighted Regression (GWR) to investigate changes in the spatial distribution of specific urban functions over time. This frameworkwas applied to long-term (1920–2010) evolution of three functions (population density, building density and per cent share of built-up area in total municipal area) in a Mediterranean city (Athens, Greece) moving from a mono-centric configuration to a more dispersed settlement model. Local GWRparameters (adjusted R2, intercept, slope, standard residuals) estimated at 4 time points (1920, 1950, 1980 and 2010) constituted the input of a Multiway Factor Analysis reconstructing the intimate dynamics of urban growth in the study area. Local regression slopes and intercepts evidence a non-linear expansion path with the highest spatial polarization in urban and rural districts observed in the early 1980s. Model’s goodness-of-fit increased progressively over time moving from central to peripheral locations. Results of this study contribute to a comparative analysis of the relationship between urban functions and distance from inner cities.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

    <a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Letters in Spatial and Resource Sciences

  • ISSN

    1864-4031

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    22

  • Pages from-to

    19-40

  • UT code for WoS article

    000463155800004

  • EID of the result in the Scopus database

    2-s2.0-85057099624