CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Geostatistics TYB560 FALL-SPRING 3+0 Faculty E 6
    Learning Outcomes
    1-Calculates descriptive statistics.
    2-Analyzes the relationships between more than one variable.
    3-Analyzes correlation function, semivariogram and crossover semivariogram.
    4-Creates spatial interpolation by using kriging, cokriging and inverse distance methods.
    5-Evaluates the results obtained regarding the variables and data quality (post evaluation).
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assoc. Prof. Dr. Gülay KARAHAN
    Instructors

    1-)Doçent Dr. Gülay Karahan

    Assistants -
    Resources R1: Edward H. Isaacs, R. Moham Srivastava. 1989. Applied Geostatistics. Oxford University, Press.
    Supplementary Book -
    Goals The aim of the course is to give wisdom on descriptive data analysis, univariate and bivariate analysis, modeling of spatial structure, modeling of anisotropic structure, and use of geostatistical methods in spatial estimation.
    Content -
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