diff --git a/.directory b/.directory
deleted file mode 100644
index 8dd9d23..0000000
--- a/.directory
+++ /dev/null
@@ -1,6 +0,0 @@
-[Dolphin]
-Timestamp=2016,4,6,13,59,29
-Version=3
-
-[Settings]
-HiddenFilesShown=true
diff --git a/dtwSat.Rproj b/dtwSat.Rproj
deleted file mode 100644
index 6c2d28e..0000000
--- a/dtwSat.Rproj
+++ /dev/null
@@ -1,21 +0,0 @@
-Version: 1.0
-
-RestoreWorkspace: No
-SaveWorkspace: No
-AlwaysSaveHistory: No
-
-EnableCodeIndexing: Yes
-UseSpacesForTab: Yes
-NumSpacesForTab: 2
-Encoding: UTF-8
-
-RnwWeave: knitr
-LaTeX: pdfLaTeX
-
-BuildType: Package
-PackageUseDevtools: Yes
-PackageInstallArgs: --no-multiarch --with-keep.source
-PackageBuildArgs: --compact-vignettes=gs+qpdf
-PackageBuildBinaryArgs: --compact-vignettes=gs+qpdf
-PackageCheckArgs: --as-cran
-PackageRoxygenize: rd,collate,namespace
diff --git a/vignettes/landuse-mapping.Rmd b/vignettes/landuse-mapping.Rmd
index 575cd96..a5a1657 100644
--- a/vignettes/landuse-mapping.Rmd
+++ b/vignettes/landuse-mapping.Rmd
@@ -38,7 +38,7 @@ samples <- st_read(system.file("mato_grosso_brazil/samples.gpkg", package = "dtw
 ## Preparing the Satellite Image Time Series
 
 The `dtwSat` package supports satellite images read into R using the `stars` package.
-The instalation comes with a set of MOD13Q1 images for a region within the Brazilian Amazon.
+The installation comes with a set of MOD13Q1 images for a region within the Brazilian Amazon.
 Note that timing is crucial for the TWDTW distance metric. To create a consistent image time series, 
 we start by extracting the date of acquisition from the MODIS file names [@Didan:2015].