Update docs with pkgdev

codemeta.json

@@ -190,7 +190,7 @@
     },
     "SystemRequirements": null
   },
-  "fileSize": "964.93KB",
+  "fileSize": "965.815KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",

vignettes/CatastRoNav.Rmd

@@ -106,33 +106,32 @@ we created before:
 # Cut buildings
 
 dataviz <- st_intersection(pamp_bu, pamp_buff)
-#> Error in UseMethod("st_intersection"): no applicable method for 'st_intersection' applied to an object of class "NULL"
 
 ggplot(dataviz) +
   geom_sf()
-#> Error in eval(expr, envir, enclos): object 'dataviz' not found
 ```
 
+<div class="figure">
+<img src="./minimal-1.png" alt="Minimal map" width="100%" />
+<p class="caption">Minimal map</p>
+</div>
+
 Let's extract now the construction year, available in the column `beginning`:
 
 
 ``` r
 # Extract 4 initial positions
 year <- substr(dataviz$beginning, 1, 4)
-#> Error in eval(expr, envir, enclos): object 'dataviz' not found
 
 # Replace all that doesn't look as a number with 0000
 year[!(year %in% 0:2500)] <- "0000"
-#> Error: object 'year' not found
 
 # To numeric
 year <- as.integer(year)
-#> Error in eval(expr, envir, enclos): object 'year' not found
 
 # New column
 dataviz <- dataviz %>%
   mutate(year = year)
-#> Error in eval(expr, envir, enclos): object 'dataviz' not found
 ```
 
 Last step is to create groups based on the year and create the data
@@ -143,12 +142,10 @@ different classes:
 ``` r
 dataviz <- dataviz %>%
   mutate(year_cat = ggplot2::cut_width(year, width = 10, dig.lab = 12))
-#> Error in eval(expr, envir, enclos): object 'dataviz' not found
 
 # Adjust the color palette
 
 dataviz_pal <- hcl.colors(length(levels(dataviz$year_cat)), "Spectral")
-#> Error in eval(expr, envir, enclos): object 'dataviz' not found
 
 ggplot(dataviz) +
   geom_sf(aes(fill = year_cat), color = NA) +
@@ -174,9 +171,13 @@ ggplot(dataviz) +
     ),
     plot.margin = margin(r = 40, l = 40)
   )
-#> Error in eval(expr, envir, enclos): object 'dataviz' not found
 ```
 
+<div class="figure">
+<img src="./dataviz-1.png" alt="Pamplona: Urban Growth" width="100%" />
+<p class="caption">Pamplona: Urban Growth</p>
+</div>
+
 ## References
 
 -   Royé D (2019). "Visualize urban growth."