GIS ESSENTIALS – “Getting spatially enabled”
Target audience
This GIS course enables participants to identify potentials of spatial data and to put them to use.
Theoretical essentials in geoinformatics form the foundation, in order to gain a broad understanding of the subject matter. The second part brings import, visualisation and analysis of geodata, using OpenSource-tools, into focus. The used data will primarily come from OpenStreetMap.
Theoretical part
Applications
What is spatial data and how can you use it?
Getting started with the world of geoinformatics and its applications
Spatial modelling
- Coordinate systems – what are they good for and what do you need to keep in mind when it comes to data acquisition?
An overview of geographical and projected coordinate systems - Topology
- Vector versus raster data
Spatial indexing
Spatial data should also be indexed, in order to ensure data quality and performance. Spatial indexing algorithms will be presented.
Spatial analysis
Which analyses can be made, and which questions can be answered by use of GIS?
GIS-tools
How is spatial data processed?
An overview of popular tools, focusing on OpenSource.
GIS-Services
What kind of spatial services do exist and are of special interest for companies?
- Mapping
- Routing
- Geocoding
Practise part
Preparation
Setup PostgreSQL with PostGIS as a spatial database
Setup QGIS
Data acquisition
Downloading OSM-data for further processing
Data import
Import using QGIS, osm2pgsql, ogr2ogr, osmosis
Data visualisation
Simple visualisation with the help of QGIS
Data analysis
Data analysis with QGIS and PostGIS in comparison
Data export
Data transfer and -backup with GQIS and database-tools
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