You have to evaluate the distribution of normality of the data you can use shapiro wilk, if it is positive evaluate by rho of spearman. Although a more robust analysis is to perform the relationship by structural equation analysis (SEM).

Yes, if the data is normal in distribution. But you can also do PCA and GLM

Dear Soheil,

There are several methods that can be used to find 1) if there is relation; 2) the type of the relation; 3) the strength of the relation. The method to be selected depends on your assumptions, the type of the data, and also on the number of the variables. Pearson correlation is appropriate if you presume a linear relationship between two variables in interval or ratio scale. If you have more than one greenspaces metrics or the metric is in ordinal scale (e.g. a logical variable), you might turn to models (e.g. GLM) or rank correlations (Spearman/Kendall), respectively.

HTH,

Ákos

Article How Socio-Economic Drivers Explain Landscape Soil Erosion Re...

Article Modeling the Soil Erosion Regulation Ecosystem Services of t...

Article Applying Landscape Metrics to Revise Land Degradation Model ...

Article Landscape Metrics Explain the Ecological Susceptibility of T...