I have grid based, spatial data, and for each grid cell I have several
variables (fire severity, elevation, vegetation etc.). I would like to
know if there is e.g. lower fire severity above 3000 m a.s.l. as
compared to below 3000 m.
Since the data are highly correlated, I wondered if it's possible to
test the independence of two variables using chi-square tests. Is there
any correction that could be used to correct the p values?