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

ANSELIN, L. (1988): Spatial Econometrics: Methods and Models. Dordrecht, Kluwer.10.1007/978-94-015-7799-1Search in Google Scholar

ANSELIN, L. (1995): Local Indicators of Spatial Association – LISA. Geographical Analysis, 27(2): 93–115.10.1111/j.1538-4632.1995.tb00338.xSearch in Google Scholar

ANSELIN, L. (2003): An introduction to spatial autocorrelation analysis with Geoda. Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, USA. [online]. [cit. 05.04.2013]. Available at: http://www.utdallas.edu/~briggs/poec6382/geoda_spauto.pdfSearch in Google Scholar

ANSELIN, L., REY, S. J. (1991): Properties of tests for spatial dependence in linear-regression models. Geographical Analysis, 23(2): 112–131.10.1111/j.1538-4632.1991.tb00228.xSearch in Google Scholar

ANSELIN, L., SYABRI, I. KHO, Y. (2004): GeoDa: An introduction to spatial data analysis. Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, USA. [online]. [cit. 05.04.2013]. Available at: http://www.csiss.org/events/workshops/geodaGA.pdfSearch in Google Scholar

ARBIA, G. (1989): Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems. Boston, Kluwer.10.1007/978-94-009-2395-9Search in Google Scholar

ARBIA, G. (2000): Some critique to statistical measures of spatial concentration and convergence. International Advances in Economic Research, 6(3): 590.10.1007/BF02294977Search in Google Scholar

ARBIA, G. (2001): The role of spatial effects in the empirical analysis of regional concentration. Journal of Geographical Systems, 3(3): 271–281.10.1007/PL00011480Search in Google Scholar

BLAŽEK, J., NETRDOVÁ, P. (2012): Aktuální tendence lokální diferenciace vybraných socioekonomických jevů v Česku: směřuje vývoj k větší mozaikovitosti prostorového uspořádání? Geografie, 117(3): 266–288.10.37040/geografie2012117030266Search in Google Scholar

BOOTS, B., TIEFELSDORF, M. (2000): Global and local spatial autocorrelation in bounded regular tessellations. Journal of Geographical Systems, 2(4): 319–348.10.1007/PL00011461Search in Google Scholar

BRÜLHART, M., TRAEGER, R. (2005): An account of geographic concentration patterns in Europe. Regional Science and Urban Economics, 35(6): 597–624.10.1016/j.regsciurbeco.2004.09.002Search in Google Scholar

CLIFF, A. D., ORD J. K. (1973): Spatial Autocorrelation. London, Pion.Search in Google Scholar

COWELL, F. A., FLACHAIRE, E. (2007): Income distribution and inequality measurement: The problem of extreme values. Journal of Econometrics, 141(2): 1044–1072.10.1016/j.jeconom.2007.01.001Search in Google Scholar

Czech Statistical Office (2014): Results of population censes 1980, 1991, 2001, and 2011 for municipalities in a regional structure in 2011. Prague, Czech Statistical Office.Search in Google Scholar

ELBERS, C., LAJOUW, P. F., MISTIAEN, J. A., ÖZLER, B. (2008): Reinterpreting between-group inequality. The Journal of Economic Inequality, 6(3): 231–245.10.1007/s10888-007-9064-xSearch in Google Scholar

FOTHERINGHAM, A. S. (1997): Trends in quantitative methods I: stressing the local. Progress in Human Geography, 21(1): 88–96.10.1191/030913297676693207Search in Google Scholar

FOTHERINGHAM, A. S., BRUNSDON, C., CHARLTON, M. (2000): Quantitative geography – Perspectives on spatial data analysis. London, SAGE.Search in Google Scholar

GETIS, A. (2007): Reflections on spatial autocorrelation. Regional Science and Urban Economics, 37(4): 491–496.10.1016/j.regsciurbeco.2007.04.005Search in Google Scholar

GETIS, A., ALDSTADT, J. (2004): Constructing the spatial weights matrix using a local statistic. Geographical Analysis, 36(2): 90–104.10.1111/j.1538-4632.2004.tb01127.xSearch in Google Scholar

GUIMARAES, P., FIGUEIREDO, O., WOODWARD, D. (2011): Accounting for neighboring effects in measures of spatial concentration. Journal of Regional Science, 51(4): 678–693.10.1111/j.1467-9787.2011.00723.xSearch in Google Scholar

HAMPL, M. [eds.] (1999): Geography of Societal Transformation in the Czech Republic. Prague, Department of Social Geography and Regional Development, Faculty of Science, Charles University in Prague.Search in Google Scholar

IMRE, A. R., NOVOTNÝ, J., ROCCHINI, D. (2012): The Korcak-exponent: a non-fractal descriptor for landscape patchiness. Ecological Complexity, 12: 70–74.10.1016/j.ecocom.2012.10.001Search in Google Scholar

KLADIVO, P., PTÁČEK, P., ROUBÍNEK, P., ZIENER, K. (2012): The Czech-Polish and Austrian-Slovenian borderlands – similarities and differences in the development and typology of regions. Moravian Geographical Reports, 20(3): 22–37.Search in Google Scholar

KLAPKA, P., HALÁS, M., NETRDOVÁ, P., NOSEK, V. (2016): The efficiency of areal units in spatial analysis: Assessing the performance of functional and administrative regions. Moravian Geographical Reports, 24(2): 47–59.10.1515/mgr-2016-0010Search in Google Scholar

KORČÁK, J. (1938): Deux types fondamentaux de distribution statistique. Bulletin de l'Institute International de Statistique, 30: 295–299.Search in Google Scholar

LAFOURCADE, M., MION, G. (2007): Concentration, agglomeration and the size of plants. Regional Science and Urban Economics, 37(1): 46–68.10.1016/j.regsciurbeco.2006.04.004Search in Google Scholar

LAMBERT, P. J., ARONSON, J. R. (1993): Inequality decomposition analysis and the Gini coefficient revisited. The Economic Journal, 103(420): 1221–1227.10.2307/2234247Search in Google Scholar

LITCHFIELD, J. A. (1999): Inequality: Methods and Tools. World’s Bank Web Site on Inequality, Poverty, and Socio-economic Performance. [online]. [cit. 30.05.2013]. Available at: http://siteresources.worldbank.org/INTPGI/Resources/Inequality/litchfie.pdfSearch in Google Scholar

LONGFORD, N. T., PITTAU, M. G., ZELLI, R., MASSARI, R. (2012): Poverty and inequality in European regions. Journal of Applied Statistics, 39(7): 1557–1576.10.1080/02664763.2012.661705Search in Google Scholar

MARCON, E., PUECH, F. (2003): Evaluating the geographic concentration of industries using distance-based methods. Journal of Economic Geography 3: 409–428.10.1093/jeg/lbg016Search in Google Scholar

MILLS, J. A., ZANDVAKILI, S. (1997): Statistical inference via bootstrapping for measures of inequality. Journal of Applied Econometrics, 12(2): 133–150.10.1002/(SICI)1099-1255(199703)12:2<133::AID-JAE433>3.0.CO;2-HSearch in Google Scholar

MUSSARD, S., SEYTE, F., TERRAZA, M. (2003): Decomposition of Gini and the generalized entropy inequality measures. Economics Bulletin, 4(7): 1–6.Search in Google Scholar

NETRDOVÁ, P., NOSEK, V. (2009): Approaches to measuring the significance of geographical dimension of societal inequality. Geografie, 114(1): 52–65.10.37040/geografie2009114010052Search in Google Scholar

NOSEK, V., NETRDOVÁ, P. (2010): Regional and spatial concentration of socio-economic phenomena: empirical evidence from the Czech Republic. Ekonomický časopis/Journal of Economics, 58(4): 344–359.Search in Google Scholar

NOSEK, V., NETRDOVÁ, P. (2014): Measuring Spatial Aspects of Variability. Comparing Spatial Autocorrelation with Regional Decomposition in International Unemployment Research. Historical Social Research, 39(2): 292–314.Search in Google Scholar

NOVOTNÝ, J., NOSEK, V. (2009): Nomothetic geography revisited: statistical distributions, basic generative mechanisms, and inequality measures. Geografie, 114(4): 282–297.10.37040/geografie2009114040282Search in Google Scholar

NOVOTNÝ, J., NOSEK, V. (2012): Comparison of regional inequality in unemployment among four Central European countries: an inferential approach. Letters in Spatial and Resource Sciences, 5(2): 95–101.10.1007/s12076-011-0071-ySearch in Google Scholar

NOVOTNÝ, J., NOSEK, V., JELÍNEK, K. (2014): EasyStat 1.0. Prague, Faculty of Science, Charles University. [cit. 19.05.2015]. Available at: https://web.natur.cuni.cz/~pepino/EasyStat.zipSearch in Google Scholar

OKAMOTO, M. (2009): Decomposition of gini and multivariate gini indices. The Journal of Economic Inequality, 7(2): 153–177.10.1007/s10888-007-9069-5Search in Google Scholar

OPENSHAW, S. (1984): Concepts and Techniques in Modern Geography. Volume 37: The Modifiable Areal Unit Problem. Norwich, Geo Books.Search in Google Scholar

ORD, J. K., GETIS, A. (2012): Local spatial heteroscedasticity (LOSH). The Annals of Regional Science, 48(2): 529–539.10.1007/s00168-011-0492-ySearch in Google Scholar

REY, S. J. (2004): Spatial analysis of regional income inequality. In: Goodchild, M., Janelle, D. [eds.]: Spatially Integrated Social Science: Examples in Best Practice 1 (pp. 280–299). Oxford, Oxford University Press.Search in Google Scholar

REY, S. J., JANIKAS, M. V. (2005): Regional convergence, inequality, and space. Journal of Economic Geography, 5(2): 155–176.10.1093/jnlecg/lbh044Search in Google Scholar

REY, S. J., MONTOURI, B. D. (1999): US regional income convergence: a spatial econometric perspective. Regional Studies, 33(2): 143–156.10.1080/00343409950122945Search in Google Scholar

REY, S. J., SMITH, R. J. (2013): A spatial decomposition of the Gini coefficient. Letters in Spatial and Resource Sciences, 6(2): 55–70.10.1007/s12076-012-0086-zSearch in Google Scholar

SEN, A. (1972): On economic inequality. Oxford, Claredon Press.10.1093/0198281935.001.0001Search in Google Scholar

SHORROCKS, A., WAN, G. (2005): Spatial decomposition of inequality. Journal of Economic Geography, 5(1): 59–81.10.1093/jnlecg/lbh054Search in Google Scholar

STINE, R. (1989): An introduction to bootstrap methods: examples and ideas. Sociological Methods Research, 18(2–3): 243–291.10.1177/0049124189018002003Search in Google Scholar

STAKHOVYCH, S., BIJMOLT, T. H. A. (2009): Specification of spatial models: A simulation study on weights matrices. Papers in Regional Science, 88(2): 389–408.10.1111/j.1435-5957.2008.00213.xSearch in Google Scholar

SUBRAMANIAN, S. (2004): Indicators of inequality and poverty. Research Paper No. 2004/25, World Institute for Development Economics Research. [online]. [cit. 30.05.2013]. Available at: https://www.wider.unu.edu/sites/default/files/rp2004-025.pdfSearch in Google Scholar

SUN, W., JONES, B. (2013): Using multi-scale spatial and statistical analysis to assess the effects of brownfield redevelopment on surrounding residential property values in Milwaukee County, USA. Moravian Geographical Reports, 21(2): 56–64.10.2478/mgr-2013-0011Search in Google Scholar

UNWIN, A., UNWIN, D. (1998): Exploratory spatial data analysis with local statistics. Journal of the Royal Statistical Society: Series D (The Statistician), 47(3): 415–421.10.1111/1467-9884.00143Search in Google Scholar

WONG, D. (2009): The Modifiable Areal Unit Problem (MAUP). In: Fotheringham, A. S., Rogerson, P. A. [eds.]: The SAGE Handbook of Spatial Analysis (pp. 105–125). London, SAGE.10.4135/9780857020130.n7Search in Google Scholar