Table 3.

Results of the multiple linear regression. Regression included only those variables with tolerance >0.1 and the variance inflation factor (VIF) <10 during coillinearity diagnostics. If the value of tolerance is less than 0.2 and, simultaneously, the value of VIF 10 and above, then the multicollinearity is problematic (Hair et al., 2010).

	Non standardised coefficient		Standardised coefficients	T	Sig.	Collinearity statistics
	Regression coefficient B	SD	β			Tolerance	VIF
(Constant)	10.324	3.555		2.904	0.034
Water	−0.531	0.338	−0.199	−1.572	0.177	0.391	2.56
MSIEI	−5.324	1.359	−0.445	−3.917	0.011	0.487	2.053
NP	−0.002	0.002	−0.148	−0.988	0.369	0.28	3.577
SHAPE_CV	−0.003	0.025	−0.017	−0.117	0.911	0.303	3.301
Forest	−1.896	0.709	−0.356	−2.674	0.044	0.355	2.82
Near zone	0	0.002	−0.022	−0.159	0.88	0.314	3.183
Settlement	1.118	0.341	0.478	3.273	0.022	0.294	3.404
GYRATE_MD	−0.001	0.002	−0.033	−0.211	0.841	0.257	3.889
PR	0.055	0.021	0.362	2.647	0.046	0.335	2.984
SHAPE_MD	6.732	1.626	0.647	4.139	0.009	0.257	3.891
PARA_RA	−0.004	0.002	−0.418	−2.746	0.04	0.272	3.683
Road	−1.63	0.417	−0.649	−3.906	0.011	0.227	4.399
Middle zone	−7.90E−05	0	−0.161	−1.268	0.261	0.39	2.564
Far zone	0	0	0.609	2.691	0.043	0.123	8.155
AREA_AM	−0.001	0	−0.636	−4.158	0.009	0.268	3.725

Variables: Area-weighted mean patch area distribution (AREA_AM), median radius of gyration distribution (GYRATE_MD), modified Simpson’s evenness index (MSIEI), number of patches (NP), patch richness (PR), range perimeter–area ratio distribution (PARA_RA), coefficient of variation shape index distribution (SHAPE_CV), median shape index distribution (SHAPE_MD).