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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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