Update: upgrade the packages and scripts

.github/workflows/build_bookdown.yml

@@ -11,7 +11,7 @@ name: bookdown
 
 jobs:
   bookdown:
-    runs-on: ubuntu-latest
+    runs-on: macOS-latest
     # Only restrict concurrency for non-PR jobs
     concurrency:
       group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }}
@@ -32,3 +32,9 @@ jobs:
         run: bookdown::render_book("index.Rmd", quiet = TRUE)
         shell: Rscript {0}
 
+      - name: Deploy to GitHub pages 🚀
+        if: github.event_name != 'pull_request'
+        uses: JamesIves/[email protected]
+        with:
+          branch: gh-pages
+          folder: _book

.gitignore

@@ -2,3 +2,6 @@
 .Rhistory
 .RData
 .Ruserdata
+.vscode/settings.json
+_bookdown_files/
+

08-spatial-weights-as-distance-functions.Rmd

@@ -59,6 +59,7 @@ their dependencies.^[Use
 library(sf)
 library(spdep)
 library(geodaData)
+library(spatialreg)
 ```
 
 
@@ -571,10 +572,10 @@ diag(B) <- 1
 With this, we can now convert back to class **listw** with the **spdep** function `mat2listw`.
 The function is pretty self explanatory, as it converts from a matrix the **listw**. We
 need one extra step to accomplish the conversion. We first need to convert **B** to class
-**dgTMatrix** before we can use the `mat2listw` function.
+**dgRMatrix** before we can use the `mat2listw` function.
 
 ```{r quiet = TRUE}
-var.band.w2 <- mat2listw(as(B, "dgTMatrix"))
+var.band.w2 <- mat2listw(as(B, "dgRMatrix"))
 ```
 
 #### Properties of kernal weights {-}

11-global-spatial-autocorrelation2.Rmd

@@ -102,7 +102,7 @@ out the Spatial Data Handling notebook.
 
 ```{r}
 st_crs(counties)
-counties <- st_transform(counties, 102003)
+counties <- st_transform(counties, crs = "ESRI:102003")
 ```