Modules Topics covered in this class

For any module not marked as “Coming Soon”, click on it to go to a page containing details.

Knowledge and prerequisites for the course

1. Knowledge and prerequisites for the course

These preparations should be taken to heart even before the course. It is the information about the content, organizational and technical requirements

preparation

Reproducible Research

2. Reproducible Research

The importance of reproducible research lies in the reproducibility of research results - i.e. the ability to repeat experimental procedures and thus confirm previously obtained results - this is the central element of scientific work.

Introduction to Spatial R-GIS

3. Introduction to Spatial R-GIS

Basic R-GIS coding: packages, APIs, conditionals, loops, functions.

Deriving ecological indices from LiDAR data

4. Deriving ecological indices from LiDAR data

Basic LiDAR data processing to derive meaningful forest related parameters

Spatial Prediction of Forest Microclimate

5. Spatial Prediction of Forest Microclimate

Basic Introduction in the model based prediction of forest microclimate.

Scientific Reporting

6. Scientific Reporting

Basic Introduction writing scientific reports with Markdown.