ISBN online: 978-80-244-6320-9 | DOI: 10.5507/prf.23.24463209

Pokročilé zpracování geodat

Karel Macků


This textbook presents a theoretical overview focused on selected methods of spatial statistics. The primary goal of the text is to provide students in geoinformatics and related fields with study material that complements the given lectures on advanced geodata processing.

1. edition, online: 2023, publisher: Univerzita Palackého v Olomouci, Křížkovského 8, 771 47 Olomouc



References

  1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/TAC.1974.1100705 Go to original source...
  2. Anselin, L. (1995). Local Indicators of Spatial Association - LISA. Geographical Analysis, 27(2), 93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x Go to original source...
  3. Anselin, L. (1996). The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association. In Spatial Analytical Perspectives on GIS (pp. 111-125). Taylor and Francis. Go to original source...
  4. Anselin, L. (2003). Spatial Econometrics. In B. H. Baltagi (Ed.), A Companion to Theoretical Econometrics. Blackwell Publishing Ltd. Go to original source...
  5. Anselin, L. (2018). Applications of Spatial Weights. GeoDa: An Introduction to Spatial Data Science. https://geodacenter.github.io/workbook/4d_weights_applications/lab4d.html#creating-a-spatially-lagged-variable
  6. Anselin, L. (2020). Local Spatial Autocorrelation (1). GeoDa: An Introduction to Spatial Data Science. https://geodacenter.github.io/workbook/6a_local_auto/lab6a.html
  7. Anselin, L. (2021). Spatial Models in Econometric Research. https://doi.org/10.13140/RG.2.2.26447.20641 Go to original source...
  8. Barnett, V., & Lewis, T. (1978). Outliers in Statistical Data. J. Wiley & Sons.
  9. Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289-300. Go to original source...
  10. Brunsdon, C., Fotheringham, A. S., & Charlton, M. E. (1996). Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity. Geographical Analysis, 28(4), 281-298. https://doi.org/10.1111/j.1538-4632.1996.tb00936.x Go to original source...
  11. Cliff, A. D., & Ord, J. K. (1973). Spatial autocorrelation. Pion Ltd.
  12. Dawson, R. (2011). How Significant Is A Boxplot Outlier? Journal of Statistics Education, 19(2). Go to original source...
  13. Dixon, W. J. (1950). Analysis of Extreme Values. The Annals of Mathematical Statistics, 21(4), 488-506. https://doi.org/10.1214/aoms/1177729747 Go to original source...
  14. Elhorst, J. P. (2010). Applied Spatial Econometrics: Raising the Bar. Spatial Economic Analysis, 5(1), 9-28. https://doi.org/10.1080/17421770903541772 Go to original source...
  15. Fabian, F., & Kluiber, Z. (1998). Metoda Monte Carlo a možnosti jejího uplatnění (1st ed.). Prospektrum spol s.r.o.
  16. Filzmoser, P., Garrett, R. G., & Reimann, C. (2005). Multivariate outlier detection in exploration geochemistry. Computers & Geosciences, 31(5), 579-587. https://doi.org/10.1016/j.cageo.2004.11.013 Go to original source...
  17. Filzmoser, P., & Gregorich, M. (2020). Multivariate Outlier Detection in Applied Data Analysis: Global, Local, Compositional and Cellwise Outliers. Mathematical Geosciences, 52(8), 1049- 1066.https://doi.org/10.1007/s11004-020-09861-6 Go to original source...
  18. Filzmoser, P., Ruiz-Gazen, A., & Thomas-Agnan, C. (2014). Identification of local multivariate outliers. Statistical Papers, 55(1), 29-47. https://doi.org/10.1007/s00362-013-0524-z Go to original source...
  19. Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley Publishing, Inc.
  20. Gelfand, A. E., Diggle, P. J., Fuentes, M., & Guttorp, P. (2010). Handbook of Spatial Statistics. CRC Press. Go to original source...
  21. Getis, A., & Ord, J. K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189-206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x Go to original source...
  22. Gollini, I., Lu, B., Charlton, M., Brunsdon, C., & Harris, P. (2015). GWmodel : an R package for exploring spatial heterogeneity. Journal of Statistical Software, 63(17), 1-50. https://doi.org/10.1080/10095020.2014.917453 Go to original source...
  23. Haining, R. (2003). Spatial data analysis: theory and practice. Cambridge University Press. Go to original source...
  24. Haining, R., Wise, S., & Ma, J. (1998). Exploratory spatial data analysis in a geographic information system environment. Journal of the Royal Statistical Society: Series D (The Statistician), 47(3), 457-469. Go to original source...
  25. Halleck Vega, S., & Elhorst, J. P. (2015). THE SLX MODEL. Journal of Regional Science, 55(3), 339-363. https://doi.org/10.1111/jors.12188 Go to original source...
  26. Harris, P., Clarke, A., Juggins, S., Brunsdon, C., & Charlton, M. (2015). Enhancements to a geographically weighted principal component analysis in the context of an application to an environmental data set. Geographical Analysis, 47(2), 146-172. https://doi.org/10.1111/gean.12048 Go to original source...
  27. Horák, J. (2015). Prostorové analýzy dat (6. vydání). VŠB-TU Ostrava, Hornicko-geologická fakulta, Institut geoinformatiky.
  28. Hubert, M., & Debruyne, M. (2010). Minimum covariance determinant. Wiley Interdisciplinary Reviews: Computational Statistics, 2(1), 36-43. https://doi.org/10.1002/wics.61 Go to original source...
  29. Illian, J., Penttinen, A., Stoyan, H., & Stoyan, D. (2008). Statistical Analysis and Modelling of Spatial Point Patterns. John Wiley & Sons, Ltd. Go to original source...
  30. INSEE Eurostat. (2018). Handbook of Spatial Analysis.
  31. Kalogirou, S. (2012). Testing local versions of correlation coefficients. Jahrbuch Für Regionalwissenschaft, 32(1), 45-61. https://doi.org/10.1007/s10037-011-0061-y Go to original source...
  32. LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics (3rd ed.). CRC Press. Go to original source...
  33. Livings, M., & Wu, A.-M. (2020). Local Measures of Spatial Association. In J. P. Wilson (Ed.), Geographic Information Science & Technology Body of Knowledge. https://doi.org/10.22224/gistbok/2020.3.10 Go to original source...
  34. Longley, P. A., Goodchild, M., Maguire, D. J., & Rhind, D. W. (2005). Geographic Information Systems and Science (2nd ed.). John Wiley & Sons, Inc.
  35. Macků, K. (2020). Multidisciplinární hodnocení kvality života v Evropě na regionální úrovni. Univerzita Palackého v Olomouci. https://doi.org/10.5507/prf.20.24458410 Go to original source...
  36. Mahalanobis, P. C. (1936). On the generalized distance in statistics. Proceedings of the National Institute of Sciences, 2.
  37. Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust Statistics: Theory and Methods. Wiley. https://doi.org/10.1002/0470010940 Go to original source...
  38. Moran, P. A. P. (1948). The Interpretation of Statistical Maps. Journal of the Royal Statistical Society: Series B (Methodological), 10(2), 243-251. https://doi.org/10.1111/j.2517-6161.1948.tb00012.x Go to original source...
  39. Percival, J., & Tsutsumida, N. (2017). Geographically Weighted Partial Correlation for Spatial Analysis. GI_Forum, 1, 36-43. https://doi.org/10.1553/giscience2017_01_s36 Go to original source...
  40. Ripley, B. D. (1977). Modelling Spatial Patterns. Journal of the Royal Statistical Society: Series B (Methodological), 39(2), 172-192. https://doi.org/10.1111/j.2517-6161.1977.tb01615.x Go to original source...
  41. Rossiter, D. G. (2020). Exercise: Spatial Point Pattern Analysis.
  42. Rousseeuw, P. J., & Bossche, W. Van Den. (2018). Detecting Deviating Data Cells. Technometrics, 60(2), 135-145. https://doi.org/10.1080/00401706.2017.1340909 Go to original source...
  43. Spurná, P. (2008). Prostorová autokorelace - všudypřítomný jev při analýze prostorových dat? [Spatial Autocorrelation - A Pervasive Phenomenon in the Analysis of Spatial Data]. Czech Sociological Review, 44(4), 767-788. https://doi.org/10.13060/00380288.2008.44.4.08 Go to original source...
  44. Tobler, W. (1970). A computer movie simulating urban growth in the Detroit region. In Economic Geography (Vol. 46, pp. 234-240). Go to original source...
  45. Tukey, J. W. (1977). Exploratory Data Analysis. Addision-Wesley Publishing.
  46. Unwin, D. J. (2009). Spatial Statistics. In International Encyclopedia of Human Geography (pp. 452-457). Elsevier. https://doi.org/10.1016/B978-008044910-4.00539-3 Go to original source...
  47. Varmuza, K., & Filzmoser, P. (2009). Introduction to Multivariate Statistical Analysis in Chemometrics.
  48. CRC Press. https://doi.org/10.1201/9781420059496 Go to original source...
  49. Waller, L. A., & Gotway, C. A. (2004). Applied Spatial Statistics for Public Health Data. John Wiley & Sons, Inc. https://doi.org/10.1002/0471662682 Go to original source...
  50. Yau, N. (2013). Data Points - Visualization That Means Something. John Wiley & Sons, Inc.