Universität Wien FIND
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300170 VO Spatial analytic methods in Conservation Biology (2020S)

Introduction to GIS (GIS 1)

1.00 ECTS (1.00 SWS), SPL 30 - Biologie

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

whole course is e-learning

Wednesday 04.03. 09:00 - 09:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 16.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 17.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 18.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 19.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday 20.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 30.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 31.03. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 01.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 02.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday 03.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 14.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 15.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 16.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday 17.04. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

Aims, contents and method of the course

Theoretical concepts in GeoInformatics are discussed especially in the context of Vegetation- and Landscape Ecology as well as Nature Conservation. The course is strongly focused on Vector based Geodata, Raster Data Concepts and analyses are presented at the end of the course:
-Data Acquisition and Integration
-Cartography
-Analyses of spatial data
-Data(-base) Management
-Open (Government) Data

Assessment and permitted materials

attention - changes due to CoVid 19 measures:
written onine exam in open book style

Minimum requirements and assessment criteria

Max 100 points
90-100 Sehr gut
80-89 Gut
70-79 Befriedigend
60-69 Genügend
<60 Nicht Genügend

Examination topics

whole content of lecture:
- presentations (vidoes) and slides (pdf)
- literature presented during the lecture
- other material accessible on moodle

Reading list

presented and discussed during the lecture

Association in the course directory

MNB W-4, UF MA BU 01, UF MA BU 04, MEC-9

Last modified: Mo 07.09.2020 15:21