Remove twitter links #124

README.Rmd

@@ -17,7 +17,6 @@ knitr::opts_chunk$set(
 [![](https://cranlogs.r-pkg.org/badges/grand-total/pct)](https://cran.r-project.org/package=pct)
 [![R build status](https://github.com/itsleeds/pct/workflows/R-CMD-check/badge.svg)](https://github.com/itsleeds/pct/actions)
 [![](https://www.r-pkg.org/badges/version/pct)](https://www.r-pkg.org/pkg/pct)
-[![Coverage status](https://codecov.io/gh/ITSLeeds/pct/branch/master/graph/badge.svg)](https://codecov.io/github/ITSLeeds/pct?branch=master)
 [![R-CMD-check](https://github.com/itsleeds/pct/workflows/R-CMD-check/badge.svg)](https://github.com/itsleeds/pct/actions)
 <!-- badges: end -->
 

README.md

@@ -7,8 +7,6 @@
 [![R build
 status](https://github.com/itsleeds/pct/workflows/R-CMD-check/badge.svg)](https://github.com/itsleeds/pct/actions)
 [![](https://www.r-pkg.org/badges/version/pct)](https://www.r-pkg.org/pkg/pct)
-[![Coverage
-status](https://codecov.io/gh/ITSLeeds/pct/branch/master/graph/badge.svg)](https://codecov.io/github/ITSLeeds/pct?branch=master)
 [![R-CMD-check](https://github.com/itsleeds/pct/workflows/R-CMD-check/badge.svg)](https://github.com/itsleeds/pct/actions)
 <!-- badges: end -->
 

vignettes/cycling-potential-uk.Rmd

@@ -20,7 +20,9 @@ See https://rpubs.com/RobinLovelace/749112 for the results with the code running
 
 What modal shift to cycling do you think we could achieve in UK cities in an ideal scenario?
 Answers to that question are vital to support high level ambition for active transport and wider sustainability policies in settlements worldwide.
-In UK cities such as Leeds (where the motivation for this article originated, via [Twitter](https://twitter.com/PaulChatterton9/status/1190925153322098690)) there is already a wealth of freely available data on cycling potential, based on the Propensity to Cycle Tool ([PCT](https://www.pct.bike/)) project, of which this package is a part.
+In UK cities such as Leeds (where the motivation for this article originated, via Twitter^[
+  See `https://twitter.com/PaulChatterton9/status/1190925153322098690` for the original tweet.
+]) there is already a wealth of freely available data on cycling potential, based on the Propensity to Cycle Tool ([PCT](https://www.pct.bike/)) project, of which this package is a part.
 This article will briefly explain how to get cycling potential data for any city in England and Wales, based on a case study of Leeds.
 
 # Getting the region of interest
@@ -252,5 +254,5 @@ The PCT does not account for the fact that some trips to work are also 'caregivi
 ## Challenge
 
 To anyone interested in cycling in your city: try re-running the reproducible code above for your PCT region and local authority.
-Let us know on [social media](https://twitter.com/robinlovelace/status/1191378869728763904) and [GitHub](https://github.com/ITSLeeds/pct/issues) how you get on.
+Let us know on social media and [GitHub](https://github.com/ITSLeeds/pct/issues) how you get on.
 Any comments/contributions to this analysis: [welcome.](https://github.com/ITSLeeds/pct/edit/master/vignettes/cycling-potential-uk.Rmd)

vignettes/km-cycled.Rmd

@@ -218,4 +218,4 @@ As demonstrated, the PCT packages provides easy methods to visualize cycle poten
 * For more of a deep dive into the methods, see the pct_training vignette
 * See the pct-international to see how to apply the methods internationally
 
-We’re interested to know how you’ve used the methods/data so please get in touch on <a href="https://twitter.com/robinlovelace"> social media </a> and <a href="https://github.com/ITSLeeds/pct"> GitHub </a> letting us know how get on. Any comments/contributions to this analysis: welcome.
+We’re interested to know how you’ve used the methods/data so please get in touch on social media </a> and <a href="https://github.com/ITSLeeds/pct"> GitHub </a> letting us know how get on. Any comments/contributions to this analysis: welcome.

vignettes/pct.Rmd

@@ -45,7 +45,7 @@ The tool is one of just ~300 [central government websites](https://www.data.gov.
 For an overview of the data provided by the PCT, clicking on the previous link and trying it out is a great place to start.
 An academic [paper](https://www.jtlu.org/index.php/jtlu/article/view/862) on the PCT provides detail on the motivations and methods underlying the project [@lovelace_propensity_2017].
 
-Since work on the package began in 2015, for example during the ODI Leeds Hack my Route [hackathon](https://datamillnorth.org/community/blog/hack-my-route-live-blog/) (see [an early prototype of the tool here](https://twitter.com/robinlovelace/status/611979463803432960)), the features and demand for the PCT have evolved substantially.
+Since work on the package began in 2015, for example during the ODI Leeds Hack my Route [hackathon](https://datamillnorth.org/community/blog/hack-my-route-live-blog/) (see an early prototype of the tool at `https://twitter.com/robinlovelace/status/611979463803432960`), the features and demand for the PCT have evolved substantially.
 In early 2019, for example, the [School travel layer](https://blog.pct.bike/2019/03/18/propensity-to-cycle-to-school-layer-deployed/) was added to the main PCT site to provide evidence nationwide on the potential benefits of scenarios of cycling uptake, and where safe routes to school should be prioritised [@goodman_scenarios_2019].
 In fact, a major aim of the PCT was to enable people to extend the tool [@lovelace_propensity_2017]:
 

vignettes/uk-cities.Rmd

@@ -144,6 +144,4 @@ You can also try the following resources (in R and online):
 - See the [`pct-international`](https://itsleeds.github.io/pct/articles/pct-international.html) to see how to apply the methods internationally
 
 
-We're interested to know how you've used the methods/data so please get in touch on [(social media)](https://twitter.com/robinlovelace) and [(Github)](https://github.com/ITSLeeds/pct) letting us know how get on.
-Any comments/contributions to this analysis: welcome.
-
+We're interested to know how you've used the methods/data so please get in touch.