The aim of this course is to provide students with theoretical foundations, and above all technical/ applied skills with regard to Geographic Information Systems (GIS) for spatial analysis and digitalization of geological and geothematic maps (CARG Project).
Curriculum
teacher profile teaching materials
- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Programme
- Introduction to GIS- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Core Documentation
Lecture slidesAttendance
Mandatory for 70%Type of evaluation
Oral test starting from personal or group work. teacher profile teaching materials
- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Programme
- Introduction to GIS- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Core Documentation
Lecture slidesAttendance
Mandatory for 70%Type of evaluation
Oral test starting from personal or group work. teacher profile teaching materials
- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Programme
- Introduction to GIS- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Core Documentation
Lecture slidesAttendance
Mandatory for 70%Type of evaluation
Oral test starting from personal or group work. teacher profile teaching materials
- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Programme
- Introduction to GIS- Spatial models, raster and vector. What they are and which are the differences between them.
- Where to get data: local, web-baser geodata services and remote-stored data.
- CRS (Coordinate Reference System): the shape of the Earth, ellipsoid, projection, geographic and projected coordinate systems. WGS84 and UTM.
- Insight into vector and raster: their representation and how to edit them. GIS workflow.
- Data showing and data editing: plotting, styling, clip, difference, georeferencer, polynomial transformation etc.
- Practical lectures using QGIS. CARG mapping and Semi-automatic classification. Classification algorithms.
- GIS using MATLAB
- GIS for the environment
Core Documentation
Lecture slidesAttendance
Mandatory for 70%Type of evaluation
Oral test starting from personal or group work.