Merge branch 'main' of https://github.com/euctrl-pru/HexAeroR

.github/workflows/r.yml

@@ -0,0 +1,40 @@
+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+#
+# See https://github.com/r-lib/actions/tree/master/examples#readme for
+# additional example workflows available for the R community.
+
+name: R
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: macos-latest
+    strategy:
+      matrix:
+        r-version: ['4.1.0', '4.2.0', '4.3.0']
+
+    steps:
+      - uses: actions/checkout@v3
+      - name: Set up R ${{ matrix.r-version }}
+        uses: r-lib/actions/setup-r@f57f1301a053485946083d7a45022b278929a78a
+        with:
+          r-version: ${{ matrix.r-version }}
+      - name: Install dependencies
+        run: |
+          install.packages(c("remotes", "rcmdcheck"))
+          remotes::install_deps(dependencies = TRUE)
+        shell: Rscript {0}
+      - name: Check
+        run: rcmdcheck::rcmdcheck(args = "--no-manual", error_on = "error")
+        shell: Rscript {0}

LICENSE

@@ -1,2 +1,2 @@
 YEAR: 2024
-COPYRIGHT HOLDER: HexAeroR authors
+COPYRIGHT HOLDER: EUROCONTROL - Aviation Intelligence Unit

README.md

@@ -17,7 +17,7 @@ HexAeroR is a EUROCONTROL R package designed for aviation professionals and data
 
 You can install the development version of HexAeroR from [GitHub](https://github.com/) with:
 
-``` r
+```r
 # install.packages("devtools")
 devtools::install_github("euctrl-pru/HexAeroR")
 ```
@@ -26,15 +26,15 @@ devtools::install_github("euctrl-pru/HexAeroR")
 
 This is a basic example which shows you how to solve a common problem:
 
-``` r
+```r
 library(HexAeroR)
 ## basic example code
 ```
 
 This will prompt you to download the geospatial metadata from Zenodo necessary to run the package. It will only cache once. The parquet datasets are available here: <https://zenodo.org/records/10651018>.
 
 
-``` python
+```r
 # Load trajectory data
 df <- load_dataset(name = "trajectories.parquet", datatype = "test_data")
 
@@ -50,7 +50,7 @@ list(scored_rwy_detections_df, rwy_detections_df) <- identify_runways(df)
 
 ### Visualizing Methodology
 
-``` r
+```r
 
 # Load approach hex dataset for an airport (e.g., EGLL)
 egll <- load_dataset(name = "EGLL.parquet", datatype = "runway_hex")