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R_SPATIAL_2019

Spatial data analysis with R
Date: 10.02.2020 9:00 - 12.02.2020 16:00
Location details: The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.
Language: English
Lecturers: Marko Kallio / Aalto university
Juha Aalto / Finnish Meteorological Institute
Price:
  • 180 euros + VAT (24%) for Finnish universities, polytechnics and governmental research institutes
  • 840 euros + VAT (24%) for others
The fee covers all materials, lunches as well as morning and afternoon coffees.
Registration by 02.02.2020 23:59
Registration opens in the second half of December.

The seats are filled in the registration order. If a cancellation is received five (5) business days prior to the course, the course fee will be refunded with the exception of a handling fee of 10 €. For no-shows and cancellations after the cut of date no refunds will be made. Registration can be transferred to someone else from the same organization without additional charge.

Payment can be made with electronic invoicing, credit card, or direct bank transfer. Note that for electronic invoicing you need the operator and e-invoicing address (OVT code) of your organization. Please also note that invoice reference is needed for electronic invoicing in your organization, so please have this available when registering.
Additional information
Content: giscoord@csc.fi
Practicalities: event-support@csc.fi
The aim of the course is to familiarize participants with spatial analysis with R. On the first two days of the course focus is on vector data and the last course day is spent on raster data.
 
Topics of the course:
  • Handling and plotting vector data in R
  • Spatial operations (intersection, clipping, conversions etc)
  • Spatial analysis of vector data (clustering, density surfaces, autocorrelation)
  • Visualizing spatial data
  • Spatial analysis with R in Puhti supercluster
  • Running R code in parallel, short intro
  • Raster basics with R
  • Raster data manipulation
  • Map algebra
  • R Raster package in spatial modelling
 
The course consists of a flexible combination of lectures, examples and exercises with an emphasis on hands-on experience.
 

Prerequisistes:

  • Basics of geoinformatics and geostatistics
  • Basic use of R, no earlier experience with R spatial packages is needed. For self-study of basics R for beginners course material can be used. Or attend the Bioweek: Data Analysis with R course the week before, despite the name it is a basic R course.

This course is similar to the Spatial data analysis with R course kept in 2019 at CSC.

Program
Monday 10.2.2020
9:00-10:30 Handling and plotting vector data in R
10:30-10:45 Coffee break
10:45-12:15 Handling and plotting cont.
12.15-13:00 Lunch
13:00-14:30 Spatial operations (intersection, clipping, conversions etc)
14:30-14:45 Coffee break
14:45-16:00 Spatial operations cont.
 
Tuesday 11.2.2020
9:00-10:30 Spatial analysis of vector data (clustering, density surfaces, autocorrelation)
10:30-10:45 Coffee break
10:45-12:15 Spatial analysis cont.
12.15-13:00 Lunch
13:00-14:15 Visualizing spatial data
14:15-14:30 Coffee break
14:30-15:30 Spatial analysis with R in Puhti supercluster, inc running R code in parallel
15:30-17:00 Puhti and parallel code exercise, optional
 
Wednesday 12.2.2020
9:00-10:30 Raster basics with R
10:30-10:45 Coffee break
10:45-12:15 Raster data manipulation
12.15-13:00 Lunch
13:00-14:30 Map algebra
14:30-14:45 Coffee break
14:45-16:00 R Raster package in spatial modelling

Projects and Collaboration Networks
Service Break
Tapahtumat
Projects and Collaboration Networks
Service Break
Tapahtumat