Introduction to Spatial Data and Using R as a GIS (postponed)

Course Code

HUB-07-19/20-P-R

Organised by

NCRM, University of Southampton

Presenter

Dr Nick Bearman

Date

07/05/2020

Venue

Glamorgan Building, King Edward VII Avenue Cardiff University,

Map

View in Google Maps  (CF10 3WT)

Contact

Jacqui Thorp
Training and Capacity Building Co-ordinator
Tel: 02380594069
Email: jmh6@soton.ac.uk

Description

THIS COURSE IS POSTPONED DUE TO THE CORONAVIRUS. NEW DATE TBC.

Level

Entry (no or almost no prior knowledge)

Cost

The fee per teaching day is:

• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.

If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course, including but not limited to any travel or accommodation costs.

The University of Southampton’s Online Store T&Cs also continue to apply.


Please note bookings will close one week before the course takes place.

Website and registration

Region

Wales

Keywords

Spatial Data Analysis, Area-based analysis, Geographical Information System (GIS), R, R Studio , , , , , Loops

Related publications and presentations

Spatial Data Analysis
Area-based analysis
Geographical Information System (GIS)
R

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