[swpm_mini_login]

Retail in a Crisis – Adapt, Survive & Thrive, 25th Nov, 4 – 5.30pm

The SLA has run three online events during 2020 focusing on the pandemic. In May, we looked at the key skills required of location analysts in dealing with the immediate challenge of the pandemic. In June, we explored some of the personal and professional impacts on our members in thinking through the impact of COVID on the customer insight and location analysis community. In July, we were amongst the first to explore the early evidence for retail recovery and regeneration, with speakers from Geolytix, the Local Data Company, and Intu.

In this session, in the middle of the second UK lockdown, we reflect on the fact that responding to the pandemic is a marathon, not a sprint, and that the economic and channel impacts will be profound and require strategic responses by all stakeholders.

Read more

Advanced GIS Methods Training: Internet User Classification / Retail Centre Typology and K-means Clustering, 20th October (Online Event)

Dates: Tue 20th Oct and Wed 21st October 2020
Time: 10am – 1pm
Online: (Zoom Details Tbc)

CDRC Logo

In these two morning sessions, we will discuss the Internet User Classification and Retail Centre Typology datasets from the CDRC and the methods used to create them. K-means clustering is used to create many different data sets, including the geodemographic classification, OAC. We will discuss the IUC and RCT datasets, how and why they were created, and what they can be used for. We will also discuss and show you how to use the K-means clustering method to create your own classification, using IUC as an example.

Read more

Advanced GIS Methods Training: AHAH and Multi-Dimensional Indice s, 29th September (Online Event)

Access to Healthy Assets & Hazards (AHAH), and Multi-Dimensional Indices

Dates: Tue 29th Sept and Weds 30 September 2020 –
Time: 10am – 1pm
Online: (Zoom details tbc)

CDRC Logo

In these two morning sessions, we will discuss the Access to Healthy Assets & Hazards (AHAH) dataset from the CDRC and the methods used to create them, multi-dimensional indices. Multi-dimensional indices are used to create many different data sets, including the Index of Multiple Deprivation.

We will discuss the AHAH dataset, how and why it was created, and what it can be used for. We will also discuss and show you how to use the multi-dimensional indices method to create your own index, using AHAH as an example.

Read more