Discussion

 By computing I's Moran, we see that the greenness index is spatially correlated. Hence, it means that this index follows a pattern in the Vernier municipality. The random permutation was done to test the following hypothesis, and hence verify our results : our variable follows a random distribution under a confidence of 5%. We obtaines a p-value of 0.1% therefore we can reject this hypothesis. Hence we can conclude that the greenness index is not randomly distributed, and follows a pattern. As the value of I is quite high, we conclude our variable is strongly corrolated.

Conclusion

How the greenness index is related to the noise level. By analysing Fig. 7,8 and Fig. 9 and 10 we see that by selecting locations on the map where the greenness index is high, respectively low, there is a strong inverse relationship with the noise level which is low, respectively high. In the Vernier municipality, there is a clearly relation between greenness index and noise level.

Contributions of the authors

(the data part was made by ML, the method and the analysis of data is detailed by RT, the results, discussion and conclusion are explained by NJ, introduction has been made by RT and ML).