Define reproducibility

01-introduction.Rmd

@@ -14,6 +14,15 @@ This GUI-centred approach can discourage reproducibility.
 This book focusses exclusively on the CLI, enabling reproducible, and 'computational' workflows, something we will expand on in Chapter 13.
 <!--\@ref(gis) --><!-- REF NEEDS TO BE FIXED IN FUTURE-->
 
+```{block2 type='rmdnote'}
+Reproducibility is a major advantage of command-line interfaces, but what does it mean in practice?
+We define it as follows:
+
+> A process is reproducible only if the same results can be generated by others using publicly accessible code.
+
+This may sound simple and easy to acheive (which it is if you carefully maintain your R code in script files) but has profound implications for teaching and the scientific process [@pebesma_r_2012].
+```
+
 A major aim of this book is to make geographic data analysis more accessible as part of a reproducible workflow.
 R is a flexible language that allows access to many spatial software libraries (see section \@ref(why-geocomputation-with-r)).
 Before going into the details of the software, however, it is worth taking a step back and thinking about what we mean by geocomputation.