All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Exploring the variability and geographical patterns of population characteristics: Regional and spatial perspectives

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10364524" target="_blank" >RIV/00216208:11310/17:10364524 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1515/mgr-2017-0008" target="_blank" >http://dx.doi.org/10.1515/mgr-2017-0008</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/mgr-2017-0008" target="_blank" >10.1515/mgr-2017-0008</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploring the variability and geographical patterns of population characteristics: Regional and spatial perspectives

  • Original language description

    The variability and geographical patterns of population characteristics are key topics in Human Geography. There are many approaches to exploring and quantitatively measuring this issue. Besides standard aspatial statistical methods, there is no universal framework for incorporating regional and spatial aspects into the analysis of areal data. This is mainly because complications, such as the Modifiable Areal Unit Problem or the checkerboard problem, hinder analysis. In this paper, we use two approaches which uniquely combine regional and spatial perspectives of the analysis of variability. This combination brings new insights into the exploration of the variability and geographical patterns of population characteristics. The relationship between regional and spatial approaches is studied with models in a regular grid, using variability decomposition (Theil index) as an example of the regional approach, and spatial autocorrelation (Moran&apos;s I) as an example of the spatial approach. When applied to empirical data based on the Czech censuses between 1980 and 2011, the combination of these two approaches enables us to categorise the studied phenomena according to the regional and spatial nature of their variability. This is a useful advance, especially for assessing evolution over time or comparisons between different phenomena.

  • 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

    50701 - Cultural and economic geography

Result continuities

  • Project

    <a href="/en/project/GA15-10493S" target="_blank" >GA15-10493S: Evolutionary dynamics of spatial differentiation of socioeconomic phenomena and the role of regions in Czechia – spatial and multilevel approach</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Moravian Geographical Reports

  • ISSN

    1210-8812

  • e-ISSN

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    85-94

  • UT code for WoS article

    000408089800002

  • EID of the result in the Scopus database