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Academic ID
Spatial analysis and modelling of ecological data
Teaching Staff: To be announced
Course Code: ΤΠ-70052
Course Type: Elective
Course Level: Undergraduate
Course Language: Greek
Semester: 7th
ECTS: 4
Teaching Units: 3
Teaching Hours: 3
Short Description:
- Introduction to spatial analysis and programming language R (Installation, Basic functions)
- Spatial regression: Introduction to regression – Generalized-Linear-Models (GLM), Spatial regression packages in R
- Advanced regression models and modelling: Random Forest regression, applications in R
- Geographically Weighted Regression (GWR)
- Interference and spatial statistics: Nearest neighbour, spatial self-association measurements, reverse distance method (IDW), Kriging and semi-bariograms
- Species distribution modelling (SDM) and ecological analysis of eco-positioning
- Species distribution modelling applications and understanding - integration of uncertainties in the process of modelling, applications and mapping in R
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