All pre-conference workshops will take place on Wednesday 6th April 2022 from 10am – 12pm. Please arrive by 9.45am for a prompt start. Workshop attendance is free of charge, however, please only register for the workshop if you are also registered for the main conference. Find out how to register for the main conference here.
The workshops will be held in a dedicated computer suite and there is no need to bring your own laptop unless you would prefer. Teas and coffees will be provided. Workshop spaces are available on a first come first serve basis.
If you are registered to the ECR pre-conference event, you have a separate workshop included on Wednesday morning as part of that event. If you have a particular interest in one of the alternative workshops below, email us on firstname.lastname@example.org.
Workshop 1 | Cloud Native Spatial Analytics with CARTO
In this session, we’ll be joined by CARTO to look at how you can do spatial analysis and modelling straight out of platforms such as Google BigQuery, Snowflake, Databricks and Amazon Redshift. We’ll look at how you can bring together data streams such as demographics, foot traffic, credit card transactions and much more to analyze patterns, create visualizations and provide apps that can be helpful to others in your organization.
Workshop 2 | Dasymetric population modelling in R and Python
Dasymetric modelling is a common and powerful tool for spatially refining count data, particularly population counts, from larger source areas, to smaller target areas. This is done using statistical or machine learning methods and additional information provided by environmental datasets to better characterise the underlying heterogenous population distribution within the relatively homogenous population depicted by census data. Come learn how to construct your own dasymetric population models with Jeremiah J. Nieves, Alessia Calafiore and Martin Fleischmann. Basic understanding of R or Python is useful, but folks with basic programming knowledge in another language will also find the first half of the work shop useful and translatable.