A Framework for Inserting Visually Supported Inferences into Geographical Analysis Workflow: Application to Road Safety Research-Reference-Cited by-同舟云学术

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A Framework for Inserting Visually Supported Inferences into Geographical Analysis Workflow: Application to Road Safety Research

Published:2022-07-06 Issue: Volume: Page:
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geographical Analysis

Author:

Beecham Roger¹^ORCID,Lovelace Robin²^ORCID

Affiliation:

1. Department of Geography University of Leeds Leeds UK

2. Institute for Transport Studies University of Leeds Leeds UK

Funder

Department of Transport, UK Government

Economic and Social Research Council

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12338

Reference69 articles.

1. Cycling Injury Risk in London: A Case‐Control Study Exploring the Impact of Cycle Volumes, Motor Vehicle Volumes, and Road Characteristics Including Speed Limits;Aldred R.;Accident Analysis & Prevention,2018

2. Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication

3. Motor Vehicle Crash Injury Rates by Mode of Travel, United States: Using Exposure-Based Methods to Quantify Differences

4. Beecham R.(2022).Supplementary Materials for the Paper “A Framework for Inserting Visually‐Supported Inferences Into Geographical Analysis Workflow: Application to Road Crash Analysis”.https://github.com/rogerbeecham/vis‐inferences‐roadsafety.

5. On the Use of ‘Glyphmaps’ for Analysing COVID‐19 Reported Cases;Beecham R.;ISPRS International Journal of Geo‐Information,2021

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