Last updated: 2019-03-19

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    File Version Author Date Message
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    Rmd 64ac134 robwschlegel 2019-03-19 Publish analysis files

Overview

In this vignette the results from the main three vignettes are combined in order to visualise them simultaneously. Following this are individual sections on how to address the challenges presented by length, missing data, and decadal trends respectively.

Overview of reference time series

# A multi-panel summary figure with images and tables
load("data/sst_ALL.Rdata")

# sst_ALL_summary <- sst_ALL %>% 

# Poential panels
# 1) The base time series
#   1.1) Rug pplot showing events
#   1.2) Events filled in with flames
#   1.3) Overlay thresholds
#   1.4) Overlay category thresholds
# 2) Mini map showing pixel location
# 3) Stats table (showing relevant stats for/from best practices)
# 4) The climatolgies/categories as there own doy x-axis panel
# 5) Lolli plot showing events

# ggplot(sst_ALL_summary)

Overview of results

The following figures show the combined results from time series length, missing data, and decadal trends side by side for each of the three components of the results. This helps to create a more complete pictures of the importance of the different variables.

Climatologies

Event metrics

Category counts

Session information

sessionInfo()
R version 3.5.3 (2019-03-11)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.5 LTS

Matrix products: default
BLAS: /usr/lib/openblas-base/libblas.so.3
LAPACK: /usr/lib/libopenblasp-r0.2.18.so

locale:
 [1] LC_CTYPE=en_CA.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_CA.UTF-8        LC_COLLATE=en_CA.UTF-8    
 [5] LC_MONETARY=en_CA.UTF-8    LC_MESSAGES=en_CA.UTF-8   
 [7] LC_PAPER=en_CA.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] workflowr_1.1.1   Rcpp_0.12.18      digest_0.6.16    
 [4] rprojroot_1.3-2   R.methodsS3_1.7.1 backports_1.1.2  
 [7] git2r_0.23.0      magrittr_1.5      evaluate_0.11    
[10] stringi_1.2.4     whisker_0.3-2     R.oo_1.22.0      
[13] R.utils_2.7.0     rmarkdown_1.10    tools_3.5.3      
[16] stringr_1.3.1     yaml_2.2.0        compiler_3.5.3   
[19] htmltools_0.3.6   knitr_1.20

This reproducible R Markdown analysis was created with workflowr 1.1.1