Items where authors include "Beecham, R."

Article

Beecham, R. orcid.org/0000-0001-8563-7251, Tennekes, M. and Wood, J. (2025) gridmappr: An R package for creating small multiple gridmap layouts. Environment and Planning B: Urban Analytics and City Science. ISSN 2399-8083

Richards, T.C., Heppenstall, A., Oldroyd, R.A. et al. (2 more authors) (2025) Using OpenPrescribing.net to evaluate neighbourhood-level prescribing of inhalers for asthma and COPD. Scientific Reports, 15. 18089.

Magnuszewski, J. orcid.org/0009-0004-7205-6078, Beecham, R. and Burns, L. orcid.org/0000-0003-0164-3668 (2025) The Auckland Urban Liveability Index: A Mechanism for Quantifying and Evaluating Modern Urban Densification. Applied Spatial Analysis and Policy, 18. 43. ISSN 1874-463X

Tait, C. orcid.org/0000-0002-4781-4111, Beecham, R. orcid.org/0000-0001-8563-7251, Lovelace, R. et al. (1 more author) (2024) Build it but will they come? Exploring the impact of introducing contraflow cycling on cycling volumes with crowd-sourced data. Journal of Transport and Health, 35. 101758. ISSN 2214-1405

Proceedings Paper

Beecham, R. and Clarke, S. (2025) Should we use Multilevel Regression and Post-stratification when simulating area-level population outcomes? In: Proceedings of 33rd GISRUK Conference 2025. 33rd GISRUK Conference 2025, 23-25 Apr 2025, Bristol, UK. Zenodo .

Beecham, R. orcid.org/0000-0001-8563-7251 (2024) gridmappr: an R package for creating small multiple gridmap layouts. In: Proceedings of the 32nd GISRUK Conference 2024. GISRUK 2024, 09-12 Apr 2024, Leeds, UK. Zenodo .

Zucker, K. orcid.org/0000-0003-4385-3153, Wagstaff, M., Tomson, C. et al. (2 more authors) (2022) AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data. In: Studies in Health Technology and Informatics. MedInfo 2021 – One World, One Health, 02-04 Oct 2021, Online. IOS Press , pp. 744-747. ISBN 978-1-64368-264-8

Book

Beecham, R. orcid.org/0000-0001-8563-7251 (2025) Visualization for Social Data Science. Taylor and Francis , New York , (218pp). ISBN 9781032274379

Preprint

Beecham, R. orcid.org/0000-0001-8563-7251 (2023) Scientific Reform and Visual Data Science: Retiring the EDA/CDA dichotomy. [Preprint]