Statistical Analysis of Environmental Data
Learn how to use usual statistical methods for the description and interpretation of the environmental data.
The environmental data analysis, whatever the considered medium, usually involves a statistical treatment of the available measures. With this course, you will increase your knowledge of classical statistical methods to achieve a relevant interpretation of the data and help the decision-making process.
Use of usual statistic methods for the description and interpretation of the environmental data.
Who should attend
This operational training is designed for managers and engineers in the environment who wish to understand and use the usual statistic methods.
- Introduction : Objective of the statistical analysis and panorama of conventional methods. Which questions ask? Which data acquire to reach the given objective?
How to ensure the realism of certain study objectives compared to the available data?
- Descriptive statistics in case of one variable: the importance of the Exploratory Data Analysis and of the data quality control
- Description of the relations between several variables: correlations, principal componant analysis (PCA), clustering
- Statistical inference in the case of one variable: go from a sample to the population
- Prediction by linear regression
- Hypothesis tests to compare populations
- Risks linked to sampling bias and identifi cation of these bias
- Identification of a spatial or temporal structuration of data and introduction to geostatistics