Digital Spatial Analysis - Practical Exercises

Recommended Prerequisites

Basic knowledge of computers and GIS.

Teaching Methods

PPT, computer exercises.

Learning Outcomes

Students are able to create a spatial data base for a given region which can be used for planning and modelling.They are able to choose methods and tools that are appropriate for the project and have an overview of the  technical possibilities of databases and geographic information systems.They are able to assess the quality of the used data and are aware of appropriate measures to fill gaps indata.They are able to create spatial models, carry out simulations and analyze and understand the results.

Work Placement(s)

No

Syllabus

Work with the data of research centers, monitoring projects, satellite and aerial pictures, depending on the selected project. Work with a wide variety of technology to collect spatial data, including own measurements and data procurement, e.g. aerial photos, GPS, mapping. Introduction to theory and practice of the analysis satellite pictures, software hardware spatial analysis.Setup of raster based spatial models, simulation and analysis of the results and quality of the simulations.

Head Lecturer(s)

José Paulo Filipe Afonso de Sousa

Assessment Methods

Assessment
Report of a seminar or field trip: 100.0%

Bibliography

Richards, J.A, Xiuping, J., 2006: Remote Sensing Digital Image Analysis. An Introduction, Springer Verlag.

http://pcraster.geo.uu.nl/documentation/index.html (PC-Raster Development Group: The PC-Raster Manual).