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April 2018

Introduction to Spatial Data & Using R as a GIS – London

23rd April 2018 @ 10:00 am - 4:30 pm
University of Liverpool (London Campus), 33 Finsbury Square
London, EC2A 1AG United Kingdom
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The course will cover an introduction to R, how to load and manage spatial data and how to create maps using R and RStudio. We will show you appropriate ways of using classifications for choropleth maps, using loops in R to create multiple maps and some basic spatial analysis. We will be using RStudio to work with the R environment. By the end of the course you will be able to load data into R, represent it effectively and be…

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Confident Spatial Analysis and Statistics in R & GeoDa – London

24th April 2018 @ 10:00 am - 4:30 pm
University of Liverpool (London Campus), 33 Finsbury Square
London, EC2A 1AG United Kingdom
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In this course we will cover how to prepare and analyse spatial data in RStudio & GeoDa. We will use RStudio to perform spatial overlay techniques (such as union, intersection and buffers) to combine different spatial data layers to support a spatial analysis decision. We will also use RStudio and GeoDa to explore a range of different spatial analyses including Moran’s I and clustering. By the end of the course you will understand how RStudio manages spatial data and be…

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R for Transport Applications: Handling Big Data in a Spatial World

26th April 2018 @ 9:30 am - 27th April 2018 @ 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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Overview This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics, with a focus on spatial data. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including: How to effectively handle large transport datasets? Where to locate new transport infrastructure? How to develop automated and reproducible transport planning workflows? How can increasingly available datasets on air quality, traffic and active travel be used to inform policy? How…

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May 2018

Explaining Brexit and Trump with Tidy data graphics

2nd May 2018 @ 9:30 am - 4:30 pm
LIDA, University of Leeds
Leeds, LS2 9JT United Kingdom
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2016 was an eventful year. The narrow votes in favour of Brexit in the UK and Trump in the US were a shock to many. You’ve probably heard commentators remark on the underlying causes for why people voted as they did. A familiar caricature is of blue collar disaffection (Leave and Trump) versus liberal, metropolitan values and relative affluence (Remain and Clinton). But is this true of the entirety of the UK and US? In this workshop you'll analyse datasets…

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Introduction to Data Linkage and Analysing Linked Data – Oxford

10th May 2018 @ 9:30 am - 11th May 2018 @ 4:45 pm
Said Business School, University of Oxford, Park End Street
Oxford, OX1 1HP. United Kingdom
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This is a training and capacity building event co-organised by the Administrative Data Research Centre England (ADRC_E) and the Consumer Data Research Centre (CDRC). This short course is designed to give participants a practical introduction to data linkage and is aimed at researchers either intending to use data linkage themselves or those who want to understand more about the process so that they can analyse linked data. Day 1 (Introduction to Data Linkage) will cover examples of the uses of data linkage, data preparation,…

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September 2018

Corporate Responsibility Research Conference

11th September 2018 - 12th September 2018
Leeds, United Kingdom + Google Map

The 13th Corporate Responsibility Research Conference (CRRC) will be held in September this year, hosted by the Sustainability Research Institute (SRI) and Business and Organisations for Sustainable Societies research group (BOSS) at the University of Leeds. The CRRC is an opportunity to experiment, test out new ideas, and network with a diverse range of peers. Traditionally, the conference has been a place to challenge received notions around responsible research in the private sector in order to drive forward new debates and…

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