paper update

paper.Rmd

@@ -33,12 +33,12 @@ The `carbonr` package provides a user-friendly, open-source tool for calculating
 Designed for flexibility and ease of use, `carbonr` enables users from different sectors to estimate emissions from travel, construction, office environments, and, more recently, clinical settings, thereby aiding in informed decision-making for environmental impact reduction.
 
 # Statement of need
+Climate change and environmental sustainability are pressing global challenges [@WHO2023]. Accurately estimating carbon emissions is important for organisations that aim to understand and mitigate their environmental impact. Despite the significance of this task, there has been a notable lack of open-source tools, which can affect the reproducibility, transparency, and adaptability of existing solutions.
 
-Climate change and environmental sustainability are pressing global challenges [@WHO2023]. Accurate estimation of carbon emissions is important for organisations aiming to understand and mitigate their environmental impact. Despite the significance, there was a notable absence of open-source tools tailored for this purpose. This meant that current solutions may not be reproducible, transparent, adaptable, or offer collaboration.
+The `carbonr` package aims to fill this gap by providing an open-source solution in R, hosted on GitHub. It aims to deliver reliable and reproducible emission estimates, ensuring that results can be reviewed over time. This invites ongoing critique and enhancement of both the code and the estimates, helping `carbonr` to continually improve.
+`carbonr` can offer the flexibility to adjust emission factors and methodologies to suit specific contexts, thereby enhancing the accuracy and relevance of its outputs. By being hosted on GitHub, `carbonr` encourages global community engagement and contributions, enriching the tool with diverse insights and expertise.
 
-The `carbonr` package fills this gap by providing an open-source solution in R, hosted on GitHub. `carbonr` aims to offer reliable, reproducible estimates to emission levels - ensuring results can be saved over time, as well as inviting critiques on the current code and estimates to help it to continually improve. In addition, by being transparent with the code, `carbonr` can help provide the ability for users to adjust emission factors and methodologies to suit specific contexts, enhancing the accuracy and relevance of the outputs. Finally, GitHub facilitates engagement and contributions from the global community to help enrich the package through diverse insights and expertise.
-
-Furthermore, `carbonr` integrates a user-friendly Shiny interface, broadening accessibility beyond those with extensive technical skills to include any user interested in understanding and managing carbon emissions. This feature underscores our commitment to making carbon estimation as straightforward and inclusive as possible.
+The emission calculations are primarily based on the UK Government’s greenhouse gas reporting guidelines [@ukgov_greenhouse_gas_reporting_2023]. Key features of `carbonr` include its simplicity and the integration of a user-friendly Shiny interface, which broadens its accessibility beyond technically skilled users to others interested in estimating their carbon emissions. This approach underscores our commitment to making carbon estimation as straightforward and inclusive as possible.
 
 # Usage
 With `carbonr`, users can estimate emissions for various activities such as air travel, hotel stays, and construction work using straightforward functions like `airplane_emissions()` or `construction_emissions()`. 

paper.bib

@@ -1,5 +1,5 @@
 @misc{WHO2023,
-  author = {World Health Organisation},
+  author = {{World Health Organisation}},
   title = {Climate Change and Health},
   year = {2023},
   url = {https://www.who.int/news-room/fact-sheets/detail/climate-change-and-health}

paper.md

@@ -33,12 +33,12 @@ The `carbonr` package provides a user-friendly, open-source tool for calculating
 Designed for flexibility and ease of use, `carbonr` enables users from different sectors to estimate emissions from travel, construction, office environments, and, more recently, clinical settings, thereby aiding in informed decision-making for environmental impact reduction.
 
 # Statement of need
+Climate change and environmental sustainability are pressing global challenges [@WHO2023]. Accurately estimating carbon emissions is important for organisations that aim to understand and mitigate their environmental impact. Despite the significance of this task, there has been a notable lack of open-source tools, which can affect the reproducibility, transparency, and adaptability of existing solutions.
 
-Climate change and environmental sustainability are pressing global challenges [@WHO2023]. Accurate estimation of carbon emissions is important for organisations aiming to understand and mitigate their environmental impact. Despite the significance, there was a notable absence of open-source tools tailored for this purpose. This meant that current solutions may not be reproducible, transparent, adaptable, or offer collaboration.
+The `carbonr` package aims to fill this gap by providing an open-source solution in R, hosted on GitHub. It aims to deliver reliable and reproducible emission estimates, ensuring that results can be reviewed over time. This invites ongoing critique and enhancement of both the code and the estimates, helping `carbonr` to continually improve.
+`carbonr` can offer the flexibility to adjust emission factors and methodologies to suit specific contexts, thereby enhancing the accuracy and relevance of its outputs. By being hosted on GitHub, `carbonr` encourages global community engagement and contributions, enriching the tool with diverse insights and expertise.
 
-The `carbonr` package fills this gap by providing an open-source solution in R, hosted on GitHub. `carbonr` aims to offer reliable, reproducible estimates to emission levels - ensuring results can be saved over time, as well as inviting critiques on the current code and estimates to help it to continually improve. In addition, by being transparent with the code, `carbonr` can help provide the ability for users to adjust emission factors and methodologies to suit specific contexts, enhancing the accuracy and relevance of the outputs. Finally, GitHub facilitates engagement and contributions from the global community to help enrich the package through diverse insights and expertise.
-
-Furthermore, `carbonr` integrates a user-friendly Shiny interface, broadening accessibility beyond those with extensive technical skills to include any user interested in understanding and managing carbon emissions. This feature underscores our commitment to making carbon estimation as straightforward and inclusive as possible.
+The emission calculations are primarily based on the UK Government’s greenhouse gas reporting guidelines [@ukgov_greenhouse_gas_reporting_2023]. Key features of `carbonr` include its simplicity and the integration of a user-friendly Shiny interface, which broadens its accessibility beyond technically skilled users to others interested in estimating their carbon emissions. This approach underscores our commitment to making carbon estimation as straightforward and inclusive as possible.
 
 # Usage
 With `carbonr`, users can estimate emissions for various activities such as air travel, hotel stays, and construction work using straightforward functions like `airplane_emissions()` or `construction_emissions()`.