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Extreme temperature supplementary data visualzer

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 Jun 2022 English Publisher:Zenodo
Authors: Anderson, Conor I.;

doi: 10.5281/zenodo.7013751 , 10.5281/zenodo.6688271 , 10.5281/zenodo.6688270

Extreme temperature supplementary data visualzer

Abstract

This repository contains data and app source code for an interactive visualizer for supplementary data for Chapter 5: Detection and description of spatio-temporal patterns in multi-day extreme temperature events across Canada: A comparison of climatological observing windows in Methodological Considerations for the Comparative Analysis of Multi-day Extreme Temperature Events across Canada (DOI: 1807/125063), PhD Thesis of Conor I Anderson, submitted in conformity with the requirements for the degree of Doctor of Philosophy in Environmental Science, Department of Physical and Environmental Sciences, University of Toronto. Data used in this visualizer are based on Environment and Climate Change Canada data (license) and created using functions that are available in the claut R package.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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