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SPATIAL ANALYSES OF EPIDEMIOLOGICAL DATA: CASE STUDY IN OLOMOUC REGION

Marek, Lukas, Paszto, Vit, TUCEK, Pavel

First published: 2012-06-18https://doi.org/10.5593/sgem2012/s09.v2031View metrics

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Publication details

Title
SPATIAL ANALYSES OF EPIDEMIOLOGICAL DATA: CASE STUDY IN OLOMOUC REGION
Authors
Marek, Lukas, Paszto, Vit, TUCEK, Pavel
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; SGEM2012 12th International Multidisciplinary Scientific GeoConference
Publisher
Stef92 Technology
Year
2012
Pages
1155 - 1162 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References40
  1. Anselin L. Exploratory spatial data analysis in a geocomputational environment, Geocomputation, a Primer, Wiley, New York, pp 77–94, 1998.

  2. Anselin L. Local indicators of spatial association – LISA, Geographical Analysis, 27, pp 93-115, 1995.

  3. Batch geocoder. http://mapsapi.googlepages.com/batchgeo.htm SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org 12th International Multidisciplinary Scientific GeoConference SGEM 2012

  4. Batty, M.: Entropy in Spatial Aggregation, Geographical Analysis, 8, pp 1-21, 1976.

  5. Dobesova Z. Automatic Generation of Digital Elevation Models Using Python Scripts. SGEM 2011, Bulgaria, pp 599-604, 2011.

  6. Dobesova Z. Programming Language Python for Data Processing .Proceedings of International Conference on Electrical and Control Engineering (ICECE), China, pp 4866-4869, 2011.

  7. Dobesova Z. et al. The Geocode Correction in EPIDAT Database. Unpublished manuscript, 2011.

  8. Dobesova Z. Visual programming language in geographic information systems. AICT °11, Czech Republic, WSEAS Press, pp 276-280, 2011.

  9. Fotheringham, A.S. & Wong, D.W.S. The modifiable areal unit problem in statistical analysis. Environment and Planning A 23, pp 1025-1044, 1991.

  10. Griffith D. A. Spatial Autocorrelation, International Encyclopaedia of Human Geography, pp. 308-316, 2009.

  11. Haining R.P. Spatial data Analysis: Theory and Practice, Cambridge University Press, Cambridge, 2003

  12. Haining R. Spatial statistics and analysis of health data. GIS and health. London: Taylor & Francis, pp 29–47 1998.

  13. Lai PC et al. Understanding the spatial clustering of severe acute respiratory syndrome (SARS) in Hong Kong. Environ Health Perspect. 2004.

  14. Lu Y. Detection and Analysis of Spatia l Clustering, International Encyclopaedia of Human Geography, pp 317-324, 2009.

  15. Mitchell A. The ESRI Guide to GIS Anal ysis, Volume 2: Spatial Measurements and Statistics. Redlands, CA: ESRI Press, 238 p, 2005.

  16. Rafida M.E. et al. Evolution of Spatial Correlation of Mean Diameter: A Case Study of Trees in Natural Dipterocarp Forest , Journal of Mathematics and Statistics, 5, pp. 267-269, 2009.

  17. Rutto JJ, & Karuga JW. Temporal and Spatial Epidemiology of Sleeping Sickness and use of geographical information System (GIS) in Kenya. J Vector Borne Dis. 46(1): pp 18-25, 2009.

  18. Shannon C.E. A Mathematical Theory of Communication, Bell System Technical Journal, 27, pp 379-423, pp. 623-656, 1948.

  19. The National Institute of Public Health. 2012. http://www.szu.cz/

  20. Tobler W.R.: Cellular geography. In S. Gale and G. Olsson, eds. Philosophy in Geography. Netherlands, pp 379-386, 1979. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org

  21. Anselin L. Exploratory spatial data analysis in a geocomputational environment, Geocomputation, a Primer, Wiley, New York, pp 77–94, 1998.

  22. Anselin L. Local indicators of spatial association – LISA, Geographical Analysis, 27, pp 93-115, 1995.

  23. Batch geocoder. http://mapsapi.googlepages.com/batchgeo.htm SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org 12th International Multidisciplinary Scientific GeoConference SGEM 2012

  24. Batty, M.: Entropy in Spatial Aggregation, Geographical Analysis, 8, pp 1-21, 1976.

  25. Dobesova Z. Automatic Generation of Digital Elevation Models Using Python Scripts. SGEM 2011, Bulgaria, pp 599-604, 2011.

  26. Dobesova Z. Programming Language Python for Data Processing .Proceedings of International Conference on Electrical and Control Engineering (ICECE), China, pp 4866-4869, 2011.

  27. Dobesova Z. et al. The Geocode Correction in EPIDAT Database. Unpublished manuscript, 2011.

  28. Dobesova Z. Visual programming language in geographic information systems. AICT °11, Czech Republic, WSEAS Press, pp 276-280, 2011.

  29. Fotheringham, A.S. & Wong, D.W.S. The modifiable areal unit problem in statistical analysis. Environment and Planning A 23, pp 1025-1044, 1991.

  30. Griffith D. A. Spatial Autocorrelation, International Encyclopaedia of Human Geography, pp. 308-316, 2009.

  31. Haining R.P. Spatial data Analysis: Theory and Practice, Cambridge University Press, Cambridge, 2003

  32. Haining R. Spatial statistics and analysis of health data. GIS and health. London: Taylor & Francis, pp 29–47 1998.

  33. Lai PC et al. Understanding the spatial clustering of severe acute respiratory syndrome (SARS) in Hong Kong. Environ Health Perspect. 2004.

  34. Lu Y. Detection and Analysis of Spatia l Clustering, International Encyclopaedia of Human Geography, pp 317-324, 2009.

  35. Mitchell A. The ESRI Guide to GIS Anal ysis, Volume 2: Spatial Measurements and Statistics. Redlands, CA: ESRI Press, 238 p, 2005.

  36. Rafida M.E. et al. Evolution of Spatial Correlation of Mean Diameter: A Case Study of Trees in Natural Dipterocarp Forest , Journal of Mathematics and Statistics, 5, pp. 267-269, 2009.

  37. Rutto JJ, & Karuga JW. Temporal and Spatial Epidemiology of Sleeping Sickness and use of geographical information System (GIS) in Kenya. J Vector Borne Dis. 46(1): pp 18-25, 2009.

  38. Shannon C.E. A Mathematical Theory of Communication, Bell System Technical Journal, 27, pp 379-423, pp. 623-656, 1948.

  39. The National Institute of Public Health. 2012. http://www.szu.cz/

  40. Tobler W.R.: Cellular geography. In S. Gale and G. Olsson, eds. Philosophy in Geography. Netherlands, pp 379-386, 1979. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org

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