Geographical Information and Spatial Analysis in Agriculture

Monday June 18 - Introduction to GIS

• Principles of modern Geographical Information Systems.
• Space and time in Geographical models.
• Object and fields in space and time.
• Constraints. Real world constraints and how to implement them.
• Representations of geographical phenomena.

Tuesday June 19 - Measuring and handling geographical data

• Measuring geographical phenomena.
• Discretisation of continous phenomena. Resolutions. Varying resolutions and generalisation.
• Spatial Algebra.

Wednesday June 20 - Quality and Fuzzyness

• Model quality.
• Data quality, accuracy, completeness. Data with noise.
• Fuzzyness in geographical phenomena. Introduction to fuzzy set theory.
• Fuzzy regions and objects with indeterminate boundaries.
• Topological relations between fuzzy regions.

Thursday June 21 - Uncertainty in Spatial Variables

• Stochastic models for continuous, event and mosaic variables.
• Simulation algorithms.
• Sampling models for spatial variables.
• Uncertainty quantifications.

Friday June 22 - Spatial Analysis

• Geostatistical analysis and GIS.
• Analysing spatial variation and multivariate analysis.
• Soil classification and multivariate methods applicable to soil data.
• Properties and processes of soils as components of environmental systems.

Saturday June 23 - Spatial Analysis (cont.)

• Soil sampling designs, sample collection and treatment.
• The analysis and interpretation of soil survey and remotely sensed data.
• The role of soil in land use and land planning issues.
• Land evaluation for sustainable management including soil conservation and productivity, and how to monitor temporal change.
• Social mid-summer eve in the small town of Drøbak at the Oslofjord

Monday June 25 - Wednesday June 27

• ScanGis' 2001 Conference/ Two day project.

Thursday June 28

• Two-day project, cont.
• Finalization of the projects.
• Presentations of the projects.
• Course evaluation.

Author: nina.ss@nlh.no. Updated March 8. 2001