Statistical test to assess significant difference in landcover selection I have GPS collar data that I have used to extract values to points through ArcGIS Pro on MODIS landcover data. From this, I have a record of the number of times the animal has been in each landcover class. My data looks like this:




Landcover
Selection Frequency




Evergreen
105


WoodySavanna
327


Savanna
30


Grassland
2


Croplands
2




It looks like there is a pattern of selection there so I am wondering what statistical test I can run to identify if there is a significant difference between the selection frequencies of the landcover classes.
Ideally would be running this in R.

Your problem can be rephrased in terms of testing if the cell probabilities of a Multinomial distribution follow a given pattern.
In particular, given the sample $(X_1,\ldots,X_5)\sim \text{Mn}(466,\theta_1,\ldots,\theta_5)$ the problem is to test
$$H_0: \theta_1=\cdots=\theta_5=1/5$$ against
$$H_1:\theta_i\neq\theta_j\, \text{for at least one pair } i,j, \text{with } i\neq j.$$
Note that $466$ is the sum of cell counts.
There are several ways to implement this test, and in R the simplest way is perhaps this
counts = c(105, 327, 30, 2, 2)
expected = rep(1/5,5)
chisq.test(counts, p = expected)

