Course Catalogue.

After participating in this course, you will be able to:

• have a basic understanding about spatial variability of environmental variables (groundwater table, soil properties, yields)
• have a detailed knowledge of how to use R-software to characterize spatial variability.
• have a working knowledge of how to work with R software producing maps and diagrams.

Description

One of the most important aspects of farm and landscape design is understanding and characterizing spatial variability of environmental variables. Soil properties, water table level, and yields are often highly spatially heterogeneous. In this way, designing a precision irrigation system or a water management system requires information on how soil properties and water availability changes spatially. Therefore, producing maps of environmental variables is primordial for water, soil and crop management for those involved in the fam and landscape design. The focus of this course is to provide the necessary information for mapping and characterizing environmental variables using the open-source software R.

R software is one of the most used software for data analysis and data sciences along with Python. R is a language and environment for statistical computing and graphics. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. This training course teaches using R to characterize spatial variability and create maps. During the course, the concepts of spatial characterization will be highlighted through several simple and practical examples using real datasets available for students.

The subject materials are designed for practicing professionals who want to refresh and upgrade their knowledge of spatial variability, mapping and automatic reporting.

Course Outline

• Spatial variability
• Spatial interpolation
• Introduction to R for spatial analyses
• Practical considerations

Who Should Attend

Agriculture and Environmental Engineers • Project Engineers and Managers • Consultants • Designers • Operation and Maintenance personnel • Developers • Planners