Last updated: 2022-11-10
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Knit directory: viz-panel-maps/
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This repo contains a collection of ggplot experiments for visualising
panel maps use in {conformr}
documentation
This is this mapping (recorded as graph edges) I tried to visualise:
# A tibble: 5 × 3
from to weighted
<chr> <chr> <dbl>
1 BLX BEL 0.5
2 BLX LUX 0.5
3 E.GER DEU 1
4 W.GER DEU 1
5 AUS AUS 1
ggplot extensions I experimented with (code in R/
folder):
{ggraph}
: way too flexible, no sensible way to keep the
from
, and to
nodes lined up. Found some good
{tidygraph}
and {ggraph}
resources though:
{ggsankey}
:
keeps from
and to
nodes stacked in “stages”,
and connects nodes in each stage with “flow” ribbons
{ggalluvial}
:
terminology in documentation (lodes/alluvia/stratum..) was a bit
difficult to follow (use cheatsheets!);
too rigid for my purposes, and rescaling of weighted
as
flows between nodes obscures the weight information{ggbump::geom_bump}
:
removes the “flow” to line-width connection from sankey/alluvials, and
adds some flexibility for node positioning, but is annoyingly
restrictive requirements for aes()
mapping – couldn’t quite
map data into “rank” format{ggbump::geom_sigmoid}
:
more flexible geom that probably powers geom_bump()
, just
requires calculation of starting and ending x,y coordinates for each
set/stage of nodes.Aside on errors when reproducing the map with sigmoid curves from
ggbump
readme:
sf_use_s2(FALSE)
– see github issueformat()
but changing digits = 0
to digits = 1
seemed
to fix the errorlabelled sigmoid plot: code
source("code/viz-country-concord/ggbump-sigmoid-graph-edges.R")
Saving 7 x 5 in image
sankey flow diagram using {ggsankey}
: code
alluvial plot using {ggalluvial}
: code
Graphs can also be represented in matrix form:
pm_mtx <- source("code/viz-country-concord/edges-to-matrix.R")$value
pm_mtx
BEL LUX DEU AUS
BLX 0.5 0.5 0 0
E.GER 0.0 0.0 1 0
W.GER 0.0 0.0 1 0
AUS 0.0 0.0 0 1
Notice the condition that weights sum to one can be checked by simply summing up each row:
## weights sum to one
col_ones <- matrix(1, nrow=nrow(pm_mtx))
pm_mtx %*% col_ones == 1
[,1]
BLX TRUE
E.GER TRUE
W.GER TRUE
AUS TRUE
apply the transformation:
src_val <- matrix(100, nrow=nrow(pm_mtx))
(new_val <- t(pm_mtx) %*% src_val)
[,1]
BEL 50
LUX 50
DEU 200
AUS 100
Notice that we get equivalent totals for “free” because the weights in each row sum to one:
sum(src_val) == sum(new_val)
[1] TRUE
The coverage test is equivalent to a conformability condition.
## add an extra source class
bad_x <- rep_len(100, nrow(pm_mtx) + 1)
## now we cannot use the panel map
t(pm_mtx) %*% as.matrix(bad_x)
Error in t(pm_mtx) %*% as.matrix(bad_x): non-conformable arguments
Panel maps are uni-directional except for one-from-one mappings
(pm_mtx %*% new_val) == src_val
[,1]
BLX FALSE
E.GER FALSE
W.GER FALSE
AUS TRUE
sessionInfo()
R version 4.2.1 (2022-06-23)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur ... 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggbump_0.1.0 ggplot2_3.3.6 tidyr_1.2.1 dplyr_1.0.10
[5] tibble_3.1.8 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] tidyselect_1.2.0 xfun_0.34 bslib_0.4.1 purrr_0.3.5
[5] colorspace_2.0-3 vctrs_0.5.0 generics_0.1.3 htmltools_0.5.3
[9] yaml_2.3.6 utf8_1.2.2 rlang_1.0.6 jquerylib_0.1.4
[13] later_1.3.0 pillar_1.8.1 glue_1.6.2 withr_2.5.0
[17] DBI_1.1.3 lifecycle_1.0.3 stringr_1.4.1 munsell_0.5.0
[21] gtable_0.3.1 ragg_1.2.2 evaluate_0.16 labeling_0.4.2
[25] knitr_1.40 callr_3.7.3 fastmap_1.1.0 httpuv_1.6.6
[29] ps_1.7.2 fansi_1.0.3 Rcpp_1.0.9 promises_1.2.0.1
[33] scales_1.2.1 cachem_1.0.6 jsonlite_1.8.2 farver_2.1.1
[37] systemfonts_1.0.4 fs_1.5.2 textshaping_0.3.6 digest_0.6.30
[41] stringi_1.7.8 processx_3.8.0 getPass_0.2-2 cowplot_1.1.1
[45] rprojroot_2.0.3 grid_4.2.1 here_1.0.1 cli_3.4.1
[49] tools_4.2.1 magrittr_2.0.3 sass_0.4.2 wesanderson_0.3.6
[53] pacman_0.5.1 whisker_0.4 pkgconfig_2.0.3 ellipsis_0.3.2
[57] data.table_1.14.2 assertthat_0.2.1 rmarkdown_2.17 httr_1.4.4
[61] rstudioapi_0.14 R6_2.5.1 git2r_0.30.1 compiler_4.2.1