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SPACE-TIME EVALUATION OF HEALTH DATA: CASE OF OLOMOUC AREA, CZECH REPUBLIC
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“The National Institute of Public Health,” 2012. [Online]. Available: http://www.szu.cz/.
L. Marek, V. Pászto, and P. Tuček, “Spatial Analyses of Epidemiological Data: Case Study In Olomouc Region,” in 12th International Multidisciplinary Scientific GeoConference SGEM: SGEM 2012, Proceedings Volume II, 2012, pp. 1155 – 1162.
R. Haining, “Spatial statistics and analysis of health data,” in GIS and health , London: Taylor and Francis, 1998, pp. 29 – 47.
D. E. Jelinski and J. Wu, “The modifiable areal unit problem and implications for landscape ecology,” Landscape Ecology, vol. 11, no. 3, pp. 129–140, Jun. 1996.
P. Elliott and D. Wartenberg, “Spatial Epidemiology: Current Approaches and Future Challenges,” Environmental Health Perspectives, vol. 112, no. 9, pp. 998 –1006, Apr. 2004.
L. Marek, J. Dvorský, V. Pászto, and P. Tuček, On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic . Ostrava: VŠB – Technická univerzita Ostrava, 2013.
B. Pfaff, Analysis of Integrated and Cointegrated Time Series with R , Use R! Springer Science+Business Media, LLC, 2008.
R. Cleveland, W. Cleveland, J. E. McRae, and I. Terpenning, “STL: A seasonal - trend decomposition procedure based on loess,” Journal of Official Statistics, vol. 6, pp. –73, 1990.
R-Core-Team, R: A language and environment for statistical computing . Vienna, Austria: , 2012.
M. Morishita, “Measuring of the dispersion of individuals and analysis of the distributional patterns,” in Memoir of the Faculty of Science , Series E2., Kyushu University, 1959, pp. 215 – 235.
E. Delmelle, “Point Pattern Analysis,” in International Encyclopedia of Human Geography, R. Kitchin and N. Thrift, Eds. Elsevier Ltd, 2009, pp. 204–211.
R. S. Bivand, E. J. Pebesma, and V. Gómez-Rubio, Applied Spatial Data Analysis with R. New York, NY: Springer New York, 2008.
D. Griffith and G. Arbia, “Detecting negative spatial autocorrelation in georeferenced random variables,” International Journal of Geographical Information Science, vol. 24, no. 3, pp. 417–437, Mar. 2010.
L. Anselin, “Local indicators of spatial association—LISA,” Geographical analysis, vol. 27, no. 2, 1995.
R. Haining, Spatial Data Analysis: Theory and Practice . Cambridge University Press, 2004.
B. Tabachnick and L. Fidell, Using multivariate statistics, 5th ed. Pearson, 2007, p. 980.
“The National Institute of Public Health,” 2012. [Online]. Available: http://www.szu.cz/.
L. Marek, V. Pászto, and P. Tuček, “Spatial Analyses of Epidemiological Data: Case Study In Olomouc Region,” in 12th International Multidisciplinary Scientific GeoConference SGEM: SGEM 2012, Proceedings Volume II, 2012, pp. 1155 – 1162.
R. Haining, “Spatial statistics and analysis of health data,” in GIS and health , London: Taylor and Francis, 1998, pp. 29 – 47.
D. E. Jelinski and J. Wu, “The modifiable areal unit problem and implications for landscape ecology,” Landscape Ecology, vol. 11, no. 3, pp. 129–140, Jun. 1996.
P. Elliott and D. Wartenberg, “Spatial Epidemiology: Current Approaches and Future Challenges,” Environmental Health Perspectives, vol. 112, no. 9, pp. 998 –1006, Apr. 2004.
L. Marek, J. Dvorský, V. Pászto, and P. Tuček, On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic . Ostrava: VŠB – Technická univerzita Ostrava, 2013.
B. Pfaff, Analysis of Integrated and Cointegrated Time Series with R , Use R! Springer Science+Business Media, LLC, 2008.
R. Cleveland, W. Cleveland, J. E. McRae, and I. Terpenning, “STL: A seasonal - trend decomposition procedure based on loess,” Journal of Official Statistics, vol. 6, pp. –73, 1990.
R-Core-Team, R: A language and environment for statistical computing . Vienna, Austria: , 2012.
M. Morishita, “Measuring of the dispersion of individuals and analysis of the distributional patterns,” in Memoir of the Faculty of Science , Series E2., Kyushu University, 1959, pp. 215 – 235.
E. Delmelle, “Point Pattern Analysis,” in International Encyclopedia of Human Geography, R. Kitchin and N. Thrift, Eds. Elsevier Ltd, 2009, pp. 204–211.
R. S. Bivand, E. J. Pebesma, and V. Gómez-Rubio, Applied Spatial Data Analysis with R. New York, NY: Springer New York, 2008.
D. Griffith and G. Arbia, “Detecting negative spatial autocorrelation in georeferenced random variables,” International Journal of Geographical Information Science, vol. 24, no. 3, pp. 417–437, Mar. 2010.
L. Anselin, “Local indicators of spatial association—LISA,” Geographical analysis, vol. 27, no. 2, 1995.
R. Haining, Spatial Data Analysis: Theory and Practice . Cambridge University Press, 2004.
B. Tabachnick and L. Fidell, Using multivariate statistics, 5th ed. Pearson, 2007, p. 980.
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