R for Spatial Analysis

Date:

06/10/2017

Organised by:

University of Leeds

Presenter:

Robin Lovelace

Level:

Intermediate (some prior knowledge)

Contact:

e.a.pound@leeds.ac.uk

Map:

View in Google Maps  (LS2 9JT)

Venue:

Clarendon Road

Description:

This one day course will get you up-to-speed with using R and RStudio for daily working with spatial data. You will learn about R’s powerful geospatial data processing, analysis and visualisation capabilities. It is practical and hands-on: you’ll learn by doing. It assumes you already use R and want to extend your knowledge for spatial data applications. It will cover the recently developed sf package, which is compatible with the tidyverse, representing the cutting-edge of spatial data applications. It will provide a solid foundation (including spatial aggregation, joining, CRSs, visualisation) on which advanced analysis analysis workflows can be built.

Cost:

Students £70, University staff, public and charitable sector staff £120, All others £300

Website and registration:

Region:

Yorkshire and Humberside

Keywords:

Analysis of social media, Big data analytics, Point pattern analysis, Area-based analysis, Geographical Information System (GIS), Spatial distribution, R

Related publications and presentations:

Analysis of social media
Big data analytics
Point pattern analysis
Area-based analysis
Geographical Information System (GIS)
Spatial distribution
R

Back to archive...