Merge pull request #78 from hugoledoux/patch-1

Improve the text where I thought it could

paper/paper.md

@@ -50,11 +50,11 @@ affiliations:
 # Summary
 
 `StormR` is an R package allowing to easily extract storm track data from a 
-provided database, generate surface wind fields (speed and direction) as 
-re-constructed from storm track data and a parametric cyclone model. Then 
-`StormR` allows computing three summary statistics (the maximum sustained wind 
+provided database and to generate surface wind fields (speed and direction) as 
+reconstructed from storm track data and a parametric cyclone model. Then 
+`StormR` allows us to compute three summary statistics (the maximum sustained wind 
 speed, the power dissipation index, and the duration of exposure to winds reaching 
-a given wing speed along the cyclone life span) and plotting the results. We 
+a given wing speed along the cyclone life span) and to plot the results. We 
 suggest to use the IBTrACS (International Best Track Archive for Climate 
 Stewardship) database as input [@knapp_international_2010; @knapp_international_2018]. 
 This database provides a fairly comprehensive record of tropical 
@@ -64,8 +64,8 @@ are provided.
 
 Storm track data can be extracted using a specified point location,
 a user defined spatial polygon shapefile, a country or a cyclone basin name. 
-The main functions of the `StormR` package allow to generate wind speed and 
-direction fields as re-constructed from storm track data and a 
+The main functions of the `StormR` package allow us to generate wind speed and 
+direction fields as reconstructed from storm track data and a 
 parametric cyclone model. Different models and models combinations can be chosen 
 by the user. By default the spatial resolution is set to 2.5 min 
 (~4.5 km at the equator), but a finer spatial resolution of 30 s (~1
@@ -100,8 +100,8 @@ increase by +10% even if warming is limited to 1.5°C
 responds to the need for an easy to use tool that helps to better understand 
 winds generated by storms and tropical cyclones in relation to potential damages.
 
-To our knowledge two R packages `HurreconR` [@Boose_HurreconR_2023] and
-`hurricaneexposure` [@Brooke_hurricaneexposure_2020] are available on R CRAN. 
+To our knowledge two R packages are available on R CRAN: `HurreconR` [@Boose_HurreconR_2023] and
+`hurricaneexposure` [@Brooke_hurricaneexposure_2020]. 
 As highlighted by their names, these two packages have a strong focus on the 
 North American basin where tropical cyclones are named hurricanes. Another 
 important limitation of those packages is that they both rely on a single model