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null Spatial modelling 2016
Spatial modelling with open source tools (R and QGIS)
Date: 14.01.2016 10:00 - 16.01.2016 16:00
Location details: The event is organised in CSC's Dogmi training class located at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips) are available.
Language: english-language
lecturers: Tua Nylén (University of Turku) and Seija Sirkiä (CSC)
Price:
  • 180 for-finnish-academics
  • 840 for-others
The fee covers all materials, lunches as well as morning and afternoon coffees.
registration-closed
The course is full. If you wish to be added to the queue list, send an e-mail to giscoord@csc.fi.
The seats are filled in the registration order. You may cancel your attendance without a charge 5 business days prior the course. For cancellations after that and no-shows without a cancellation the full fee will be invoiced.
Additional Information
Course content: giscoord@csc.fi
Practical matters: event-support@csc.fi

The aim of the workshop is to familiarize participants with R and QGIS software and to go through the entire spatial modelling process with these tools. The workshop is targeted especially for those who want to switch from ArcGIS and SPSS to open-access software and from linear regression to generalized linear models (GLM). Biogeographical variables, examination of spatial auto-correlation and advanced modelling methods will also be looked at. Also using CSC supercomputers for spatial analysis with R is shortly covered on third day.

Prerequisistes:

  • Basics of spatial data and geoinformatics
  • Basic use of any GIS tool (ArcGIS, MapInfo, QGIS etc)
  • Earlier experience with R or QGIS is not needed.

 

Program
Wednesday, January 13th
9:30-10:00 Registration and coffee
10:00-12:00 Introduktion to spatial modelling and open-source software
12:00-13:00 Lunch
13:00-14:15 Start of practical: data preprocessing in QGIS
14:15-14:45 Coffee break
14:45-16:00 Practical continues
 
Thursday, January 14th
9:00-10:30 Wrap-up of data processing; Spatial statics and modelling
10:30-10:45 Coffee break
10:45-12:00 R in practise; Practical continues: statistics & modelling in R
12:00-13:00 Lunch
13:00-14:15 Practical continues
14:15-14:30 Coffee break
14:30-16:00 Troubleshooting
 
Friday, January 15th
9:00-10:30 Wrap-up of modelling
10:30-10:45 Coffee break
10:45-12:00 Practical contiues: visualizing results
12:00-13:00 Lunch
13:00-14:15 Examination & interpretation of results; Advanced methods
14:15-14:45 Coffee break
14:45-16:00 Running R analysis on CSC's Taito supercomputer (Seija Sirkiä, CSC)