SASNet Training with Prof. Stewart Fotheringham: Understanding Local Modelling
- Wednesday, 9th November 2016
- 1:30pm - 4:30pm
- Hilton Glasgow Grosvenor - Kelvin Suite, 1-9 Grosvenor Terrace, Glasgow, UK G12 0TA GET DIRECTIONS
The Urban Big Data Centre invites you to participate in a free training seminar on the concepts and processes for local modelling of spatial data.
'Understanding Local Modelling' is provided via our SASNet Fellowship Programme and will consist of two presentations from Stewart Fotheringham, Professor of Computational Spatial Science in the School of Geographical Sciences and Urban Planning at Arizona State University.
The afternoon seminar will provide time for discussion and networking around featured talks by Prof. Fotheringham:
- 'Local Modelling' - A short course that introduces the importance of local modelling and when to choose such models over the more common global modelling framework. Examples will be given of types of local models with reference to the well-known Geographically Weighted Regression (GWR) framework that Prof. Fotheringham co-developed.
- 'My model's bigger than yours' - A lecture demonstrating two modelling types that can be used in the analysis of Big Data
This free event will be held at the Hilton Glasgow Grosvenor in their spacious Kelvin Suite meeting room and will be relevant to anyone with an interest in big data and spatial data processes. It will be methods-focused and a knowledge of regression and hypothesis testing is recommended.
The first presentation from the training course is available to download from our Resources page.