Statistical Analysis of Environmental Data
Learn how to use usual statistical methods for the description and interpretation of the environmental data.
Environmental data analysis, whatever the considered support, usually involves a statistical treatment of the available measurements. The course will help you better know and apply standard statistical methodologies to achieve relevant data interpretation of the data and help the decision-making process.
To better understand the theoretical concepts, half session is allocated to real case analysis and pratical exercises using Isatis and Excel.
Who should attend
This operational training is aimed at managers and engineers in the Environment industry who wish to understand and apply the usual statistics methods.
- Introduction : objective of the statistical analysis and panorama of conventional methods. What to ask? Which data to acquire to reach the given objective? How to ensure the realism of given study objectives according to the available data?
- Descriptive statistics in case of one variable: the importance of exploratory data analysis and data quality control
- Description of the relationship between several variables: correlations, principal component analysis (PCA), classification
- Statistical inference in the case of one variable: go from one sample to the population.
- Prediction by linear regression
- Hypothesis tests to compare populations.
- Risks associated to sampling bias and identifi cation of these bias.
- Identification of a spatial or temporal data structure and introduction to geostatistics.
No prior knowledge of geostatistics is required.