SubjectsSubjects(version: 941)
Course, academic year 2022/2023
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Geoinformatic methods for environmental studies - MO550P59
Title: Geoinformační metody pro studium životního prostředí
Czech title: Geoinformační metody pro studium životního prostředí
Guaranteed by: Institute for Environmental Studies (31-550)
Faculty: Faculty of Science
Actual: from 2020
Semester: summer
E-Credits: 4
Examination process: summer s.:
Hours per week, examination: summer s.:0/4, MC [DS]
Capacity: 33
Min. number of students: 1
For 4EU+ students: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Additional information:
Note: enabled for web enrollment
Guarantor: Ing. Luboš Matějíček, Ph.D.
Teacher(s): Ing. Luboš Matějíček, Ph.D.
Annotation -
Last update: Ing. Luboš Matějíček, Ph.D. (27.10.2019)
The exercise extends the lecture Environmental Informatics. It aims to deepen the knowledge gained and to acquire practical skills in solving the prepared tasks and projects from the environment in the broader context of natural sciences. The presentation of exercises is based on the methodological materials of ESRI (Environmental Systems Research Institute) and research literature. To cope with the exercises, basic knowledge of the English language and mastering of basic subjects focused on environment, ecology, mathematics and statistics is required. The exercise is also available in the Moodle.
Literature -
Last update: Ing. Luboš Matějíček, Ph.D. (27.10.2019)

Burrough, P.A., McDonnell, R.A., 1998. Principles Geographical Information Systems. Oxford University Press, Oxford.

Goodchild, M., 1996. GIS and Environmental Modeling: Progress and Research Issues. John Wiley&Sons.

Heath, D., 1995. An introduction to experimental design and statistics for biology. UCL Press, London.

Johnston, C.A., 1998. Geographic Information Systems in Ecology. Blackwell Science, London.

Requirements to the exam -
Last update: Ing. Luboš Matějíček, Ph.D. (15.09.2020)

1. Creation of selected tasks based on direction of the supervisor.

2. Missing exercise can be substituted by reports based on recommendation of the supervisor.

Note: Subject can be graduated by distance teaching using MOODLE

Syllabus -
Last update: Ing. Luboš Matějíček, Ph.D. (27.10.2019)

Data processing according to instructions of supervisor and guidelines in the MOODLE.

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