1) Definition, history and goals of quantitative methods in geography. Basic statistical terms.
2) Types of variables and their relationship to quantitative analysis in geography. Basics of graphical visualisations of geographical data.
3) Basic theoretical distributions
4) Data transformation and standardization.
5) Exploratory data analysis (graphical and numerical description of the data distribution).
6) Exploratory Spatial Data Analysis. Trend analysis.
7) Inferential Statistic - t-test, ANOVA
8) Inferential Statistic - t-test, ANOVA
9) Spatial statistics for point pattern. Randomness and Randomization. Declustering.
10)Introduction to inferential statistical tests for point pattern.
11) Correlation analysis.
12) Spatial autocorrelation.
13) Regression analysis, Local regression analysis, GWR.
2) Types of variables and their relationship to quantitative analysis in geography. Basics of graphical visualisations of geographical data.
3) Basic theoretical distributions
4) Data transformation and standardization.
5) Exploratory data analysis (graphical and numerical description of the data distribution).
6) Exploratory Spatial Data Analysis. Trend analysis.
7) Inferential Statistic - t-test, ANOVA
8) Inferential Statistic - t-test, ANOVA
9) Spatial statistics for point pattern. Randomness and Randomization. Declustering.
10)Introduction to inferential statistical tests for point pattern.
11) Correlation analysis.
12) Spatial autocorrelation.
13) Regression analysis, Local regression analysis, GWR.