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Geoštatistický koncept priestorovej závislosti pre geografické aplikácie

In: Geografický časopis, vol. 57, no. 2
Tomáš Hlásny

Details:

Year, pages: 2005, 97 - 116
Keywords:
spatial autocorrelation/dependence, variogram, regionalized variable, anisotropy, intrinsic hypothesis, second-order stationarity hypothesis
About article:
One of the most important components of applied geographical research is the detailed analysis and exact quantification of spatial structure. The purpose of this paper is to provide a comprehensive and exhaustive explanation of fundamental concepts and methods in geostatistical research including empirical and theoretical variograms, covariograms, correlograms and their parameters such as sill, range and nugget effect. In addition, robust variograms and various aspects of spatial anisotropy are discussed. The paper also focuses on intrinsic and second order stationary hypotheses that are one of the fundamental principles in geostatistical theory. The discussion of geostatistical concepts is illustrated practically using spatial data from several case studies in Slovakia. The ISATIS and GSTATS packages provided the proper environment for such an analysis. The results from this analysis will allow a profound understanding of the fundamental geostatistical concepts and their significance for the spatial analysis of numerous geographical and natural resource phenomena.
How to cite:
ISO 690:
Hlásny, T. 2005. Geoštatistický koncept priestorovej závislosti pre geografické aplikácie. In Geografický časopis, vol. 57, no.2, pp. 97-116. 0016-7193.

APA:
Hlásny, T. (2005). Geoštatistický koncept priestorovej závislosti pre geografické aplikácie. Geografický časopis, 57(2), 97-116. 0016-7193.