Data analysis and Geostatistics
Data analysis and Geostatistics
2024
Lectures
Day 1: Introduction and univariate data Day1.pdf
‣Short Course logistics
‣An introduction to geostatistics
‣What are data ?
‣Data distributions and descriptors
See also the following external resources;
Double-blind parachute testing external link
Try the 3-door problem yourself and win a car! external link
Latest paper on the theory of the stork external link
Extensive description of the normal distribution external link
On the construction of cumulative frequency plots external link
Day 2: QA/QC, levelling, and bivariate data Day2.pdf
‣Univariate data visualisation and comparison
‣Data quality assessment and control
‣Combining and levelling datasets
‣Bivariate data and correlation
See also the following external resources;
Paper introducing the concept of violin-plots external link
How to estimate precision from duplicates external link
The GEOREM database of SRM values external link
Spurious correlations external link
Day 3: Statistical testing Day3.pdf
‣Missing values
‣Statistical testing, hypotheses, confidence intervals
‣Significance of correlation coefficients
‣Z probability testing
‣Comparing populations in normal and robust statistics
‣ANOVA
‣goodness-of-fit testing
See also the following external resources;
Online calculator for Z-score probabilities external link
Wikipedia article on statistical testing external link
Online calculator for t-distribution values external link
Online calculator for F-distribution values external link
Online calculator for Chi2-distribution values external link
Day 4: Time series and regression analysis Day4.pdf
‣Systematics over time (Markov chain and randomness)
‣Auto-correlation and cross-correlation
‣Periodicity in time series data
‣Linear regression models
‣Testing regression models and assumptions
‣Non-linear and multiple linear regression
‣Robust regression
‣Curve fitting
See also the following external resources;
Wikipedia article on regression analysis external link
The effect of uncertainty on a linear regression fit external link
Day 5: Discriminant analysis, clustering and vector methods Day5.pdf
‣Discriminant Function Analysis
‣Hierarchical Clustering
‣Partitioning methods, including fuzzy c-means
‣Vector methods, PCA and FA
Day 6: Discriminant analysis, clustering and vector methods Day6.pdf
‣Vector methods, PCA and FA
‣Scree plots and varimax rotation
‣Scores, loadings and biplot
‣Spatial analysis of data
‣Bubble plots
‣Interpolation
‣Semivariograms and kriging
See also the following external resources;
A great background resource on kriging external page
Wikipedia article on kriging external page
QGIS, a full-featured freeware GIS program external page
Enclosure to collect the effluent from flotation of base-metal ores.
Copyright: Vincent van Hinsberg & Simon Vriend
Last updated: March 2024