Understanding small areas: spatial analysis of population and neighbourhood data (bookings closed)
|The University of Manchester|
Dr Alan Smith
27/09/2018 - 28/09/2018
Training Room 1, 3.02 3rd floor Room Julian Hodge Building
View in Google Maps (CF10 3EU)
Claire Spencer, 0161 275 4579, firstname.lastname@example.org
This two day workshop equips participants with conceptual understanding and technical skills to obtain, analyse and visualise spatial data related to populations and neighbourhoods. Using freely available data related to the UK, a series of guided workshops enable participants to:
Hands on training introduces participants to powerful spatial analysis software (ArcGIS) as well as the programming language R. Practical sessions are interspersed with lecture and discussions to contextualise and consolidate learning. Examples are drawn from the UK and are applicable in an international context and in a variety of application areas at different spatial scales.
Participants also have the chance to discuss their own related research or applications with other participants and the course tutors.
Population and neighbourhood data are widely used by the academic, policy-making and commercial sectors. They drive resource allocation, decision making and policy evaluation. On completion of this course participants will be able to:
Day 1 (10am – 4pm)
Workshop 1: Introduction to population data analysis
Workshop 2: Spatial analysis of population data
Workshop 3: Area classification
Day 2 (10am – 4pm)
Workshop 4: Advanced spatial analysis of population data
Workshop 5: Novel analysis of individual level population data
Population data challenge
Surgery and advice session
No prior knowledge of statistical or spatial analysis is required. ArcGIS and R will be taught from scratch with a focus on learning the essential skills required to handle, visualise and analyse data related to populations and small areas. This course is not designed to provide comprehensive training in programming using R. However, it will equip participants with tools grounded in R to execute advanced analytical tasks relating to the acquisition, processing and representation of social media data using a live, real-time data feed from Twitter as an example. Participants will leave with detailed training materials allowing them to confidently apply these tools independently.
Participants must be willing to sign up for a Twitter account but are not required to populate it with any personal information. They will need to use their account to pre-register to use the Twitter API. Full instructions are provided during the course.
Participants may find it helpful to familiarise themselves with the excellent NCRM resources introducing geographical referencing found online at: http://www.restore.ac.uk/geo-refer/resources.php
Additional reading material and web-based resources will be recommended during the course.
Intermediate (some prior knowledge)
£30 per day for UK/EU registered students
Small Area Estimation, Spatial Data Analysis
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