What values of Moran's I and Theil index decomposition really mean under different conditions: on the issue of interpretation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10328796" target="_blank" >RIV/00216208:11310/17:10328796 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/16:10328796
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=79vgqp4oAw" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=79vgqp4oAw</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12076-016-0178-2" target="_blank" >10.1007/s12076-016-0178-2</a>

Result language
angličtina
Original language name
What values of Moran's I and Theil index decomposition really mean under different conditions: on the issue of interpretation
Original language description
In recent decades, improved methodological apparatuses and increased data availability have enhanced data analyses in social sciences.Moreover, complex analyses using sophisticated methods take just a matter of seconds nowadays thanks to highly powerful software. However, such methods are often poorly understood from a methodological point of view despite the fact that knowledge of their specific properties is crucial to accurately interpreting the results. In this paper we study methods of spatial aspects of variability and examine a specific property of such methods to demonstrate how it can affect the final interpretation. By modelling data in a regular 100 by 100 grid as well as empirical examples from Czechia based on data from the 2011 Czech census, this paper presents possible interpretation-biases and recommendations for howto avoid them.We use the example of spatial autocorrelation (measured by Moran's I) and variability decomposition (measured by the Theil index); two basic methods which enable us to measure variability in regions and in space.
Czech name
—
Czech description
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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

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)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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