Course Information

Course Name	Turkish	Jeoistatistik
	English	Geostatistics
Course Code	GIT 514E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Uğur Algancı
Course Objectives		•To understand the spatial data and geostatistical methods. •to develop optimum sampling methods for spatial data based applications. •to analyze and determine of measurement errors within the spatial data. •to understand spatial variation and characterize spatial variation using variograms. •to precisely implement spatial interpolation methods, to solve spatial problems by means of geostatistics.
Course Description		Definition of spatial and non-spatial data, descriptive statistics, standardization; Statistics and data analysis, bivariate and multivariate analysis, variograms, spatial dependence, scales of spatial variation, anisotropy, Modeling variograms and model parameters; kriging, interpolation, simple kriging, ordinary kriging, indicator kriging, block kriging, kriging with trend, measurement error and the kriging variance, smoothing; Cokriging, the cross-variogram, coregionalization, cokriging equations, cokriging variance, Geographic Information Systems and geostatistics
Course Outcomes
Pre-requisite(s)
Required Facilities
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Textbook
Other References		Atkinson, P.M., and Foody, G.M., 2002, Uncertainty in Remote Sensing and GIScience, John Wiley: Chichester. Diggle, P. J., Ribeiro, P. J., 2007. Model-based Geostatistics, Springer, ISBN: 0-387-32907-2. Isaaks, E. H. and Srivastava, R. M., 1989. Applied Geostatistics, Oxfrd University Press, New York. McKillup, S., Dyar, M. D., (2010). Geostatistics Explained: An Introductory Guide For Earth Sciences, Cambridge, ISBN: 978-0-521-76322-6. Pilz, J., 2009. Interfacing geostatistics and GIS, Berlin : Springer , ISBN: 978-3-540-33235-0.

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