36 citations · 36 across the 2 of their papers we have counts for
3 papers
cs.CY2020
Big Issues for Big Data: challenges for critical spatial data analytics
Chris Brunsdon, Alexis Comber
In this paper we consider some of the issues of working with big data and big spatial data and highlight the need for an open and critical framework. We focus on a set of challenge…
stat.OT2020
Opening practice: supporting Reproducibility and Critical spatial data science
Chris Brunsdon, Alexis Comber
This paper reflects on a number of trends towards a more open and reproducible approach to geographic and spatial data science over recent years. In particular it considers trends…
stat.ME2020★ 36 cited
The GWR route map: a guide to the informed application of Geographically Weighted Regression
Alexis Comber, Chris Brunsdon, Martin Charlton +8
Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships…