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Diffstat (limited to 'src/buffalo-trees-part2.Rmd')
-rw-r--r-- | src/buffalo-trees-part2.Rmd | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/src/buffalo-trees-part2.Rmd b/src/buffalo-trees-part2.Rmd index 63289b5..49a8ddc 100644 --- a/src/buffalo-trees-part2.Rmd +++ b/src/buffalo-trees-part2.Rmd @@ -200,7 +200,7 @@ Is the homogeneous PPP model appropriate for this dataset? Visually, it appears that trees are non-randomly distributed. I explicitly tested my first hypothesis (that the distribution is actually inhomogeneous) using a quadrat test. -First, I divided area of interest is divided into a grid of 5x5 evenly-sized rectangles (*quadrats*), and the number of trees in each quadrat counted: +First, I divided area of interest into a grid of 5x5 evenly-sized rectangles (*quadrats*), and counted the number of trees in each quadrat: ```{r} tree_quads = quadratcount(trees_ppp) @@ -350,3 +350,5 @@ I found evidence to suppport all three of my hypotheses. First, the distribution of trees in Buffalo is non-random. Second, the density of trees is higher inside city parks than outside. Finally, the density of trees increases with mean income: richer neighborhoods have more trees, matching the findings of [at least one other U.S. study](http://journals.sagepub.com/doi/abs/10.1068/a41236). + +View part 3 of the analysis [here](buffalo-trees-part3.html). |