Software Open Access

Extreme temperature supplementary data visualzer

Anderson, Conor I.

Thesis supervisor(s)

Gough, William A.

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.

Files (340.1 MB)
Name Size
a. - Solar package.rds
md5:9ad341b1c949c97cc0ef2bd999442d7e
69.0 MB Download
a.2 - Solar LRET package.rds
md5:b4c01f5bfc63405d47f6a7460da8a984
69.0 MB Download
a.3 - Solar ECCC heat package.rds
md5:13e027fc4ea9159f5aa2fe8cb9c64d65
23.3 MB Download
app.R
md5:bbb0f70a6f7f5c0dd446b7e88076f206
24.4 kB Download
b. - Time package.rds
md5:f1187c41d15383e66252026406d49692
76.5 MB Download
b.2 - Time LRET package.rds
md5:4a8a30fb664908815531e19f77ddad37
76.5 MB Download
b.3 - Time ECCC heat package.rds
md5:3f702bdad7d28a4af0b42ccb1faaa8d1
25.8 MB Download
data_paths.R
md5:a9900c78301e303dd42e59ff98ee9515
283 Bytes Download
19
9
views
downloads
All versions This version
Views 195
Downloads 98
Data volume 340.1 MB340.1 MB
Unique views 134
Unique downloads 21

Share

Cite as