diff --git a/spatial_graphs/exercise.qmd b/spatial_graphs/exercise.qmd
index 132a5182..c4212844 100644
--- a/spatial_graphs/exercise.qmd
+++ b/spatial_graphs/exercise.qmd
@@ -21,7 +21,7 @@ If the link does not work, please [report it](https://github.com/martinfleis/sds
 
 ### Interaction with Graphs
 
-1. Create a contiguity matrix using the queen criterion
+1. Create a contiguity matrix using the Queen criterion
 1. Let's focus on Prague (ID `891` in the table).  How many neighbours does it have?
 1. Reproduce the previous section's zoom plot with Prague and its neighbours. Can you make that plot as both static and interactive maps?
 1. Create a block spatial weights matrix where every geometry is connected to other geometries in the NUTS2 region. For that, use the `NUTS2_kod` column of the table.
@@ -40,4 +40,3 @@ suburbanisation["obyv_31122"] = (
 
 1. Measure spatial lag (as mean, so don't forget to standardise your weights) of the `"obyv_31122"` column using all weights matrices you have created.
 1. What is the difference in results for Prague? Do you know why?
-1. Compare Moran Plots based on spatial lags from your two matrices. What is causing the difference? Which one would you use in a study of population density and why?
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