add exercise

ebird · Aug 4, 2023 · 9822bcc · 9822bcc
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diff --git a/docs/ebird.html b/docs/ebird.html
diff --git a/docs/ebird_files/figure-html/ebird-import-distance-sol-1.png b/docs/ebird_files/figure-html/ebird-import-distance-sol-1.png
diff --git a/docs/ebird_files/figure-html/ebird-pred-map-1.png b/docs/ebird_files/figure-html/ebird-pred-map-1.png
diff --git a/docs/ebird_files/figure-html/ebird-zf-map-1.png b/docs/ebird_files/figure-html/ebird-zf-map-1.png
diff --git a/docs/ebird_files/figure-html/sec-ebird-bias-dayplot-1.png b/docs/ebird_files/figure-html/sec-ebird-bias-dayplot-1.png
diff --git a/docs/ebird_files/figure-html/sec-ebird-sampling-dayplot-1.png b/docs/ebird_files/figure-html/sec-ebird-sampling-dayplot-1.png
diff --git a/docs/search.json b/docs/search.json
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
@@ -6,7 +6,7 @@
   </url>
   <url>
     <loc>https://ebird.github.io/ebird-workshop-oca/ebird.html</loc>
-    <lastmod>2023-07-28T17:46:12.667Z</lastmod>
+    <lastmod>2023-08-04T21:36:41.121Z</lastmod>
   </url>
   <url>
     <loc>https://ebird.github.io/ebird-workshop-oca/ebirdst.html</loc>

diff --git a/ebird.qmd b/ebird.qmd
@@ -57,6 +57,32 @@ glimpse(checklists)
 Take some time to explore the variables in the checklist dataset. If you're unsure about any of the variables, consult the metadata document that came with the data download (`eBird_Basic_Dataset_Metadata_v1.14.pdf`).
 :::
 
+For some applications, only the checklist data are required. For example, the checklist data can be used to investigate the spatial and temporal distribution of eBird data within a region. This dataset can also be used to explore how much variation there is in the observation effort variables and identify checklists that have low spatial or temporal precision.
+
+::: {.callout-caution icon="false"}
+## Exercise
+
+Make a histogram of the distribution of distance traveling for traveling protocol checklists.
+:::
+
+::: {.callout-note icon="false" collapse="true"}
+## Solution
+
+Nearly 90% of checklists are less than 10km in length; however, some checklists are as long as 80km in length. Long traveling checklists have lower spatial precision so they should generally be removed prior to analysis.
+
+```{r}
+#| label: ebird-import-distance-sol
+checklists_traveling <- filter(checklists, protocol_type == "Traveling")
+ggplot(checklists_traveling) +
+  aes(x = effort_distance_km) +
+  geom_histogram(binwidth = 5) +
+  scale_y_continuous(limits = c(0, NA), labels = scales::comma) +
+  labs(x = "Distance traveled [km]",
+       y = "# of eBird checklists",
+       title = "Distribution of distance traveled on eBird checklists")
+```
+:::
+
 Next, let's import the observation data.
 
 ```{r}
@@ -106,7 +132,7 @@ tail(checklists_unique$checklist_id)
 ::: callout-tip
 ## Tip
 
-Curious when checklists and observers contributed to a shared checklist after it has been collapsed? The `sampling_event_identifier` and `observer_id` contain comma-separated lists of all checklists and observers that went into the shared checklists.
+Curious what checklists and observers contributed to a shared checklist after it has been collapsed? The `sampling_event_identifier` and `observer_id` contain comma-separated lists of all checklists and observers that went into the shared checklists.
 
 ```{r}
 #| label: ebird-import-shared-tip