cicd: test to catch quarto render error 🤖

vignettes/test.qmd

@@ -0,0 +1,70 @@
+---
+title: "test"
+vignette: >
+  %\VignetteIndexEntry{test}
+  %\VignetteEngine{quarto::html}
+  %\VignetteEncoding{UTF-8}
+format:
+  html:
+    toc: true
+    fig-width: 8.5
+    fig-height: 4
+knitr:
+  opts_chunk: 
+    collapse: true
+    comment: '#>'
+    dev.args:
+      bg: transparent
+---
+
+```{r}
+library(post)
+```
+
+## head1
+
+### head2
+
+![](figs/raster-data-cube.png)
+
+In R, vector data cube structures are supported in the form of array objects by the `{stars}` package and as tabular objects[^1] with the `{cubble}` package.
+`{sf}` is used both by cubble and stars to handle the spatial dimensions.
+Finally, both stars and cubble support certain `{tidyverse}` functions. 
+
+[^1]: Other packages also support spatio-temporal objects such as `{sftime}`, and further support will be implemented while `post` gets developed. 
+
+::: {.grid}
+
+::: {.g-col-9}
+Data cubes are multi-dimensional data structures.
+The most commonly known data cubes, particularly in Earth observation (EO), are **raster data cubes**. 
+Raster data cubes are structures frequently used to organise time series of satellite imagery, gridded climate data, etc.
+They have minimum two spatial dimensions: *longitude* or *x* and *latitude* or *y*. 
+The remainder dimensions can either be *time*, or other dimension such as *bands* for EO data.
+:::
+
+::: {.g-col-3}
+![](figs/raster-data-cube.png)
+:::
+
+:::
+
+```{r}
+#| label: libraries
+#| warning: false
+#| message: false
+library(post)
+library(cubble)
+library(stars)
+library(sf)
+library(tidyverse)
+```
+
+```{r}
+polygons
+```
+
+```{r}
+(arr = as_post_array(polygons))
+class(arr)
+```