The data is on vegetation category, disturbances, logging, cutting, distance from the road, elevation, slope, and aspect on a given area from 3 different years. What statistical analysis is appropriate to identify the vegetation changing pattern based on these variables?
Can you provide a bit more information on the variables? Are they continuous (and if so are they bounded with a lower or upper limit - or both), discrete (e.g., counts or categories).
My best guess with the limited information is some kind of multilevel generalised linear model for counts or proportion of vegetation types over time.
Number of data collection? Number of samples?
Based on that you may choose between
- Frequentism
- Bayesanism
Best you can do is: Use frequecy-data for the analysis with Bayes
It will be ANOVA or Kruskal Wallis. But you could also do Principle Component Analysis
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