(in Polish) Applied statistics and spatial analysis in GIS 2600-ASS-GC-2-S2
The lecture has a practical character - discussed issues are presented on the example of tasks performed by students. The aim of the lecture is to acquaint students with the theoretical basis of a spatial information system (GIS), the possibilities of acquiring, collecting and processing data on environmental resources, performing spatial analyses, modelling natural processes on the example of modelling: potential ecological niche and shifts in ecological niches resulting from forecasted climate change, changes in biodiversity; mapping the environment and its threats.
During the laboratory classes, students are introduced to the practical aspects of working with geospatial data. The premise of the class is to present the basics of independent work with a selected open-code GIS environment computer program. The topics covered in this course include getting to know the interface of the programme (using QGIS as an example), learning how to create basic numerical maps, data vectorisation, data rectification, obtaining information from WMS servers, WFS and other on-line databases, entering own environmental data, assessment and modelling of natural phenomena on the example of: current threats to biodiversity on a local and global scale, habitat loss and fragmentation, spreading of invasive species, climate change. The section related to niche modelling will discuss the most commonly used modelling methods, e.g. Bioclim and Maxent.
Total student workload
Learning outcomes - knowledge
Learning outcomes - skills
Learning outcomes - social competencies
Observation/demonstration teaching methods
Expository teaching methods
Exploratory teaching methods
- field measurement
- practical
Type of course
Prerequisites
Course coordinators
Assessment criteria
Credit on the basis of completed individual tasks and a project carried out in teams. The final mark is the average of the marks obtained by the students for the completed tasks and project. K_W08 T, K_W12, K_U01, K_U04, K_U07, K_K08, K_K10
Evaluation of the completed tasks: for the grade sufficient the student must correctly complete 60-70% of the tasks, for the grade sufficient plus - 71-80%, for the grade good - 81-87%, for the grade good plus - 88-94%, for the grade very good - above 94%.
Practical placement
Not provided
Bibliography
Hijmans R. J., Guarino L., Mathur P. 2012. DIVA-GIS version 7.5. manual.
Kozak K. H., Graham C. H., Wiens J. J. 2008. Integrating GIS-based environmental data into evolutionary biology. Trends Ecol Evol 23:141–148. doi: 10.1016/j.tree.2008.02.001
Phillips S. 2008. A Brief Tutorial on Maxent. AT&T Res 1–38. doi: 10.4016/33172.01
Scheldeman X., van Zonneveld M. 2010. Training Manual on Spatial Analysis of Plant Diversity and Distribution. Biodiversity International, Rome, Italy.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: