Geomatics
Objectives
At the end of this curricular unit the student will have acquired the knowledge, skills and competences that will allow him:
- Understand georeferenced data specificities, distinguish between vector, raster and TIN structures
- Know how to work with scales and georeferencing systems
- Register locations with a GPS - To be able to work projects in a GIS / ARCGIS environment, namely to import / export and edit information, to cross information to generate new themes, to relate information within each theme and between themes, to construct Digital Terrain Models and to generate associated information eg exposures, slopes, accumulations and water lines) and produce maps subtitled
- Understand and know how to calculate experimental variograms, and adjust theoretical functions
- Know how to make estimates of variables in areas by simple and normal kriging from point measurements
- Plan a sampling plan of a variable in 2D space
General characterization
Code
13197
Credits
3.0
Responsible teacher
José António de Almeida, Maria da Graça Azevedo de Brito
Hours
Weekly - 3
Total - 59
Teaching language
Português
Prerequisites
None
Bibliography
Gomarasca M. Basics of Geomatics, Ed. Springer, Milano, Italia, 2004.
Matos, LJ (2001) Fundamentos de Informação Geográfica, Lidel.
Principles of Geographical Information Systems (Spatial Information Systems), Peter A. Burrough, Rachael A. McDonnell 356 pages, Oxford University Press, USA; 2 edition (April 1, 1998) ISBN: 0198233663
Isaaks, E. H. & R. Mohan Srivastava (1989) An Introduction to Applied Geostatistics, Oxford University Press, New York, 561 p.
Teaching method
Available soon
Evaluation method
Available soon
Subject matter
Georeferenced data. Spatial resolution. Geographical reference systems. Scales. Types of data. Acquisition of data with GPS. Graphical representation of geographic data. Works on plants: estimates of distances, areas and volumes. Fundamentals of remote sensing and photogrammetry. Geographic Information Systems. Vector structure. Matrix structure. Initiation of projects. Editing of data. Relationship Operators. Spatial analysis. Digital terrain models. TIN Structure. Attribute calculation. Preparation of reports. Introduction to quality analysis of spatial data. Geostatistics. Calculation of experimental variograms. Adjustment of theoretical models. Isotropy and anisotropy. Estimation by simple kriging and normal kriging. Validation of estimates. Drawing plans for sampling for spatial data. Practice with the ARCGIS and R software. Resolution of practical exercises in computer on geo-referenced and geostatistical information.