Analysing Spatial Data using R
We will look at how spatial data (vector, raster) can be manipulated using R. These techniques will be applied to analysing spatial inequality and electrification using night lights data. This is a two-day course.

This course will run from 23 to 24 January 2020.

Course participants should be familiar with R and/or GIS Tools.

Cost of the Course: The cost of the course is R 6 200.00. Partial scholarships are available to bona fide students and academics.

PLEASE NOTE: Accommodation and transport costs are for your own account.
Personal Details
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First Name *
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Email address *
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R and GIS skills
Course participants should be familiar with R and/or GIS Tools.
Are you familiar with R? *
Are you familiar with GIS Tools? *
Current employment status *
We would like to know whether you are working, studying, both or neither as this will help us tailor the course to participants appropriately.
Name of organisation/institution if employed or studying *
If unemployed, please enter N/A
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Highest completed qualification *
Please note that this course is is aimed at postgraduate students (Masters and Ph.D.), researchers, and officials in state agencies.
Name of educational institution of highest qualification *
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Account Details for UCT Network
In order to create an account for you to access the computers and internet at UCT, we need one of the following forms of identification: your South African ID number, passport number or current UCT student/staff number (ONLY for UCT students/staff).
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Scholarships
Partial scholarships are available to bona fide students and academics. To qualify you must submit a motivation from your Supervisor/Head of Department. We will contact you for your motivation.
Partial Scholarship *
Are you an academic or student *
Applications close on 18 October 2019 . You will be informed of whether your application was successful by 31 October 2019. If you have NOT heard from us by this date, please consider your application unsuccessful.

This is a joint DataFirst and SALDRU course.

For more information about DataFirst - www.datafirst.uct.ac.za
For more information about SALDRU - www.saldru.uct.ac.za

Disclaimer: DataFirst reserves the right to cancel if there is not enough interest in the workshop.

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