Geostatistics

General data

Course ID:	1900-1-GSTAT-G
Erasmus code / ISCED:	07.9 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (unknown)
Course title:	Geostatistics
Name in Polish:	Geostatystyka
Organizational unit:	Faculty of Geography and Regional Studies
Course groups:	(in Polish) Przedmioty obowiązkowe, dzienne studia I stopnia (kierunek Geografia)
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Main fields of studies for MISMaP:	geography
Type of course:	obligatory courses
Prerequisites:	Foundations of Mathematics and Statistics 1900-1-PMATS Fundamentals of Geoinformatics I 1900-1-PGI1
Prerequisites (description):	Familiarity with GIS, MS Excel,
Mode:	Remote learning
Short description:	Course is introduction to analysis and describe of spatial date with use of relevant software, theoretical background and elements of classical statistics
Full description:	The main objectives of the course are: to acquire knowledge of the fundamental concepts geostatistcs, to become familiar with standard statistical techniques with applications for spatial analysis. The elements of classical statistics – scales of measurements, descriptive statistics, presenting data, the basis of statistical testing, parametric and nonparametric tests, analysis of variance, correlation and regression, a review of multivariate methods. The introduction to the geostatistical analysis, spatial autocorrelation, spatial interpolation methods, semivariograms and kriging, the analysis of spatial pattern, landscape metrics (software: ArcGIS Spatial Analyst, MS Excel, STATISTICA).
Bibliography:	Longley P.A., Goodchild M.F., Maguire D.J., Rhind D.W. 2005. Geographic Information Systems and Science, 2ed ed. John Wiley & Sons. Walford, N. 2011. Practical Statistics for Geographers and Earth Scientists. John Wiley & Sons. ArcGIS Help STATISTICA Help
Learning outcomes:	Students will obtain skills: use and choice of proper statistical procedures, make interpolation maps using various methods, compute and interpret landscape indicators.
Assessment methods and assessment criteria:	Final written exam and assessed exercises

This course is not currently offered.

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Copyright by University of Warsaw.