Spatial autocorrelation of communes websites: A case study of the region Stredné Považie in Slovakia
DOI:
https://doi.org/10.1515/bog-2013-0032Keywords
Slovakia, Stredné Považie, spatial autocorrelation, join count statistics, websites of communesAbstract
Since its origination the Internet has been the basic communication channel through which e-Government processes in our society are carried out. The basic element of such processes is an existing website. This paper is the result of long-term research during which the authors collected information on the presence or absence of websites of self-governments in Slovakia. The output can be divided into two main parts. The first one, on the basis of the acquired data, evaluates the overall trend of self-government websites between 2008–2012. The results were distributed in the form of a website devoted to communes of Slovakia, using technology enabling the graphical and cartographic interpretation of the results. In the second part, on the basis of the gathered data, the authors applied spatial autocorrelation, specifically the ‘join count statistics’ method with the subsequent application to selected phenomenon in society, in particular the occurrence of websites of a selected region of Stredné Považie in Slovakia at the same time interval. This way the authors wanted to point out the interaction of communes in the development of websites, whether through inspiration or rivalry among neighbouring communes. From this point of view, mainly in the first period under review (2008), positive spatial autocorrelation is apparent in the occurrence of communes with websites.
References
Anselin, L., 1988: Spatial Econometrics: Methods and Models, Dordrecht: Kluwer Academic Publishers.
Anselin, L. and Rey, S.J., 2010: Perspectives on Spatial Data Analysis, London: Springer.
Baldersheim, H. and Ogard, M., 2008: Innovation in E-government: Analysis of municipal web pages in the Nordic countries. In: Information Polity, 13, pp. 125–137.
Baumont, C., Ertur, C. and Le Gallo, J., 2004: Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999. In: Geographical Analysis, 36 (2), pp. 146–176.
Besussi, E., Chin, N., Batty, M. and Longley, P., 2010: The Structure and Form of Urban Settlements. In: Rashed, T. and Jürgens, C. editors, Remote Sensing of Urban and Suburban Areas, Heidelberg: Springer, pp. 13–32.
Borgoni, R. and Billari, F.C., 2003: Bayesian spatial analysis of demographic survey data: An application to contraceptive use at first sexual intercourse. In: Demographic Research, 8 (3), pp. 61–92.
Briggs, R., 2010: Inferential Spatial Statistics: Introduction to Concepts (Special Lecture Series of Spatial Analysis and Spatial Statistics for GIS Research), Dallas: The University of Texas.
Brown, T., Mclafferty, S. and Moon, G., 2010: A Companion to Health and Medical Geography, Singapore: Blackwell Publishing Ltd.
Changshan, W., 2006: Intermediate Geographic Information Science. Department of Geography The University of Wisconsin, Milwaukee (presentation paper).
Chen, G., Wu, C., Pu, Y., Ma, J. and Wang, J., 2010: Reasearch on the Spatial Autocorrelation of Economic Growth in Shandong Province Based on County Scale, paper presented in International Conference on Computer Application and System Modeling 2010, pp. 245–249.
Cho, S.H. and Newman, D.H., 2005: Spatial analysis of rural land development. In: Forest Policy and Economics, 7, pp. 732–744.
Cliff, A.D. and Ord, K.J., 1969: The Problem of Spatial Autocorrelation. In: Papers in Regional Science, London: Pion, pp. 25–55.
Cliff, A.D. and Ord, K.J., 1973: Spatial autocorrelation, London: Pion.
Cliff, A.D. and Ord, K.J., 1981: Spatial Processes: Models and Applications, London: Taylor & Francis.
De Smith, M.J., Goodchild, F.M. and Longley, P.A., 2007: Geospatial Analysis, Leicester: The Winchelsea Press.
Fischer, M.M. and Getis, A., 1997: Recent developments in spatial analysis: spatial statistics, behavioural modelling, and computational intelligence, London: Springer.
Fischer, M. and Wang, J., 2011: Spatial Data Analysis: Models, Methods and Techniques, London: Springer.
Florax, R. and Plane, D., 2004: Fifty years of regional science, London: Springer.
Gatrell, A.C., 2002: Geographies of health: an introduction, London: Wiley-Blackwell, p. 294.
Getis, A., 2008: A History of the Concept of Spatial Autocorrelation: A Geographer‘s Perspective. In: Geographical Analysis, 40 (3), pp. 297–309.
Goodchild, F.M., 1986: Spatial Autocorrelation, Concepts And Techniques. In: Modern Geography, Norwich: Geo Books, p. 56.
Griffith, D.A., 1988: Advanced spatial statistics – special topics in the exploration of quantitative spatial data series, Dordrecht: Kluwer Academic Publishers.
Griffith, D.A., 2010: Spatial Autocorrelation and Spatial Filtering, Berlin: Springer.
Jisheng, L. and Yanguang, CH ., 2007: Spatial Autocorrelation and Localization of Urban Development. In: Chinese Geographical Science, 17(1), pp. 34–39.
Jun, K.N. and Weare, CH ., 2008: The adoption of municipal web sites: on efficiency, power, and legitimacy, proceedings of the 2008 international conference on Digital government research, pp. 272–281.
Kikuchi, G., 2010: Neighborhood Structures and Crime A Spatial Analysis, El Paso: LFB Scholarly Publishing LLC.
Krämer, A., Khan, M.H. and Kraas, F., 2011: Health in Megacities and Urban Areas, New York: Springer.
Le Gallo, J. and Ertur, C., 2000: Exploratory Spatial Data Analysis of the distribution of regional per capita GDP in Europe, 1980–1995. In: Small, 82, pp. 175–201.
Lembo, A.J., 2007: Spatial Autocorrelation - Join Count Analysis, Ithaca: Cornell University.
Loftin, C. and Ward, S.K., 1983: A Spatial Autocorrelation Model of the Effects of Population Density on Fertility. In: American Sociological Review, 48(1), pp. 121–128.
Ma, X. and Pei, T., 2010: Exploratory Spatial Data Analysis of Regional Economic Disparities in Beijing during 2001–2007. In: Progress in Human Geography, 29(12), pp. 1555–1561.
Malczewski, J., 2010: Exploring spatial autocorrelation of life expectancy in Poland with global and local statistics. In: GeoJournal, 75(1), pp. 79–92.
Martinho, V., 2011: Spatial Autocorrelation and Verdoorn Law in the Portuguese NUTs III, paper provided by University Library of Munich, Germany in its series MPRA Paper with number 32165, p. 22.
Martori, C.J., Hoberg, K. and Surinach, J., 2005: Segregation measures and spatial autocorrelation. Location patterns of immigrant minorities in the Barcelona Region, paper presented in 45th Congress of the European Regional Science Association Vrije Universiteit Amsterdam, 23–27 August 2005, p. 21.
Meade, M.S. and Emch, M., 2010: Medical Geography: Third edition, New York: The Guilford Press.
Munroe, D.K. and Biles, J.J., 2005: Regional Science. In: Kempf, K.L. editor, Encyclopedia Of Social Measurement, New York: Elsevier, pp. 325–335.
O’Loughlin, J., 2002: The Electoral Geography of Weimar Germany: Exploratory Spatial Data Analyses (ESDA) of Protestant Support for the Nazi Party. In: Political Analysis, 10(3), pp. 217–243.
Odland, J.D., 1988. Spatial autocorrelation. In: G.I. Thrall editor, Sage University Scientific Geography Series, No. 9., Beverly Hills: Sage Publications, p. 87.
Páez, A. and Scott, D.M., 2004: Spatial statistics for urban analysis: A review of techniques with examples. In: GeoJournal, 61(1), pp. 53–67.
Piquero, A.R. and Weisburd, D., 2010: Handbook of Quantitative Criminology, New York: Springer.
Ratcliffe, J.H., 2010: The spatial dependency of crime increase dispersion. In: Security Journal, 23(1), pp. 18–36.
Retel, O. and Valleron, A.J., 1991: Spatial Analysis of the AIDS epidemic in France, paper presented at international conference on AIDS, Paris, France, 16–21 June, 1991.
Robinson, G.M., 1998: Methods And Techniques In Human Geography, New York: Wiley & Sons.
Székely, V. and Michniak, D., 2010: Webové stránky vidieckych obcí Slovenska: kvantitatívne zmeny v čase a priestore (Websites of rural municipalities in Slovakia: Quantitative changes in time and space – in Slovak). In: Geografický časopis, 62(4), pp. 313–328.
Svennerberg, G., 2010: Beginning Google Maps API 3, New York: Apress.
Tam Cho, W.K. and Nicley, E.P., 2008: Geographic Proximity Versus Institutions Evaluating Borders as Real Political Boundaries. In: American Politics Research, 36(6), pp. 803–823.
Tobler, W., 1970: A computer movie simulating urban growth in the Detroit region. In: Economic Geography, 46(2), pp. 234–240.
Waller, L.A. and Gotway, C.A., 2004: Applied Spatial Statistics for Public Health Data, New Jersey: Wiley & Sons.
Weeks, J.R., 2004: The Role of Spatial Analysis in Demographic Research. In: Goodchild, M.F. and Janelle, D.G. editors, Spatially Integrated Social Science: Examples in Best Practice, New York: Oxford University Press, pp. 381–399.
Weisburd, D., Bernasco, W. and Bruinsma, G.J.N., 2009: Putting Crime in its Place: Units of Analysis in Geographic Criminology, New York: Springer.
Wing, I.S. and Walker, J.L., 2010: The Geographic Dimensions of Electoral Polarization in the 2004 U.S. Presidential Vote. In: Páez, A., Le Gallo, J., Buliung, R.N. and Dall’erba, S. editors, Progress in Spatial Analysis: Methods and Applications, New York: Springer, pp. 253–287.
Yu, Z. and Chun, D., 2010: Spatial Autocorrelation Analysis of Population in Main Years, paper presented in Computer Research and Development, 2010 Second International Conference, 7–10 May 2010, Kuala Lumpur, pp. 844–848.
Žilinskas, G. and Gaulė, E., 2013: E-governance in Lithuanian Municipalities: External Factors Analysis of the Websites Development. In: Public Policy And Administration, Vol. 12, No. 1, pp. 80–93.
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