Environmental Monitoring

The overall objective is to introduce you to the key concepts and methodologies of environmental monitoring, so that you can effectively join an environmental monitoring team as GIS and spatial analytics specialist:

• You know the objectives and content of environmental monitoring including its capabilities and limits.
• You can formally describe an environment to be monitored, its key components and properties by means of requirements engineering.
• You can outline an environmental monitoring system based on an existing environment definition and identify critical stages of the process. In doing so, you provide the basic information for an actual design or maintenance of an environmental monitoring system, which involves specialists from various fields and disciplines.
• You can interpret and evaluate existing results from an environmental monitoring system.
• You create your own conclusions from an existing environmental monitoring system through statistics and visualizations.

Core UNIGIS modules 1-3 or equivalent understanding of GIS, data modeling, data structures and data acquisition. It would be good to have worked with QGIS and/or the statistical software and programming environment R. If you are not sure whether you qualify, please contact martin.loidl@plus.ac.at.

The minimum required hardware to complete the module are:

• 4 GB hard disk space at least 2048 MB Ram on operating system (more is recommended)
• operating system Windows 7 and later, 64-BIT
• CPU: x86, x86_64 Processor (Intel Pentium, Core …, AMD Athlon/Phenom)

This is an exclusively english language module. Hence, any kind of communication with the module lecturer is in English.

A discussion forum is maintained in Moodle in order to support efficient module interaction. You are requested to submit all your questions related to this module to this forum only. And you are also invited to actively share your ideas, results and difficulties on the forum as well. Let’s learn from each other as well!
The lecturer will check all incoming comments on a regular basis. He will answer your questions where applicable or provide you with pointers for solving your problems.

The module is delivered in the form of an instructed self-study that is based on an explorative learning process. Theoretical concepts are complemented with practice oriented examples and demonstrated with the help of multimedia elements. Upon completion of the module, students are requested to evaluate the module, which is a part of our quality assurance policy and practice.

• QGIS (www.qgis.org): A Free and Open Source Geographic Information System GIS.
• R (www.r-project.org): A Free Software Environment for Statistical Computing and Graphics.
• R Studio (www.rstudio.com): An integrated development environment (IDE) for R including a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.

The assessment is based on your completed assignments. They must be submitted in written format (.PDF/.DOC) to the Dropbox within the required time period. If assignments are submitted late, the lecturer is not obligated to grade them.