EDENext GIS Training Workshop commences December 2013

Below is a detailed program for the face to face workshop ‘Introduction to Geographical Information Systems’ which will be held from December 3 until December 5 2013 in Antwerp.  This workshop is available to EDENext participants.  Places are limited and priority will be given to those nominated by their EDENext group leaders.  If you would like to be considered for this workshop please contact us at edenextdata@gmail.com

 

 The Workshop will be followed up with a distance learning course.  The schedule of which is also included below.

Workshop Program 3 – 5 December 2013

Tuesday 13:30 – 14:00

Registration

Tuesday 14:00 – 14:30

Block 1: Introduction to the course

Learning outcomes:

  • Participants introduce themselves:
    • their research and
    • why they enrolled for this course
    • what are their expectations of the course
  • Lecturers are introduced
  • Course approach is explained
  • Workshop program is explained
  • Short introduction to the different GIS-software (ArcGIS, Manifold, Idrisi, Erdas, …) and motivation for using QGIS in this course

Tuesday 14:30 – 17:00

Block 2: Introduction to QGIS

Learning outcomes:

                Participants

  • run QGIS on their personal laptops;
  • understand the different parts of the QGIS interface;
  • manage to open some vector files and change their appearance;
  • can load and enable plugins;
  • have a general understanding of how the QGIS open source initiative compares with commercial GIS software.

Practical work:

  • import vector files
  • change appearance of the vector files

Wednesday 9:00 – 10:30, 11:00 – 12:30

Block 3: Projection Systems

 

Learning outcomes:

Participants

  • understand the different coordination reference systems;
  • understand when to work with projected data;
  • are able to handle projection problems.

Practical work:

  • assign a missing geographic coordinate system;
  • convert a geographic coordinate system to a projected coordinate system;
  • make area calculations in a projected coordinate system.

 

Wednesday 14:00 – 17:30

Block 4: Data formats & sources

Learning outcomes:

Participants

  • understand the vector data format (shapefiles);
  • understand the raster data formats (resolution, header, file size in relation to resolution);
  • advantages/disadvantages of vector and raster data;
  • are able to cope with different formats in QGIS;
  • are able to find GIS data on the internet;
  • are able to explore a geo database;
  • basic steps for data standardization and cleaning;
  • understand meta-data.

Practical work

  • use raster data formats
  • find GIS data on the internet

Thursday 9:00 – 10:30, 11:00 – 12:30

Block 5: Geo-processing of Vector Data

 

Learning outcomes:

Participants can perform basic vector geo-processing

Practical work:

Perform the following operations using a set of data:

  • clip
  • intersect
  • dissolve
  • buffer

Perform an attribute and spatial query.


 The Workshop will be followed up with a distance learning course.  The schedule of which is included below...

 

Distance learning program: December 2013 – March 2014

Block 6: Recapitulation GIS exercises

07/12

Learning outcomes:

Participants refresh their GIS knowledge from the workshop.

 

Block 7: Working with tabular data

06/01

Learning outcomes:

Participants can:

  • convert tabular data into a shapefile;
  • link tabular data with GIS data based on a common field.

Block 8: Google Earth

20/01

Learning outcomes:

Participants can:

  • use Google Earth as a data source;
  • delineate vector data (points and polygons) using Google Earth;
  • export and import the vector data in GE and QGIS.

Block 9: Create Raster Data

3/02

Learning outcomes:

Participants can:

  • make an interpolation;
  • make a distance calculation.
  •  

Block 10: Perform Raster operations

17/02

Learning outcomes:

Participants can:

  • classify surface rasters into thematic rasters,
  • perform a raster calculation (crosstabulation);
  • combine information of multiple rasters;
  • perform a simple multi-criteria decision analysis.

Block 11: Epidemiological Analysis

3/03

Learning outcomes:

Participants can:

  • calculate and visualize epidemiological data;

Block 12: Data preparation & Sampling Strategy

17/03

Learning outcomes:

Participants can:

  • retrieve raster information (pixel values) for a point layer;
  • design a stratified random sampling;
  • prepare their own data set.

 

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