Table 2 Influence of habitat characteristics on the probability if the red fox incident in Warsaw.

Predictors	Estimate	SE	Z	p
100 m radius (R²_Tjur = 0.069; AUC = 0.684)
Intercept	− 0.38845	0.12804	− 3.03368	0.002
Distance to the Vistula river	− 0.00016	0.00003	− 5.69064	< 0.001
Share of forests	− 0.00005	0.00001	− 4.58908	< 0.001
Share of agricultural areas	− 0.00004	0.00001	− 4.00039	< 0.001
Share of wetlands	− 0.00007	0.00003	− 2.62905	0.009
250 m radius (R²_Tjur = 0.065; AUC = 0.678)
Intercept	− 0.34782	0.13128	− 2.64937	0.008
Distance to the Vistula River	− 0.00017	0.00003	− 5.80572	< 0.001
Share of forests	− 0.00001	0.00000	− 4.42650	< 0.001
Share of agricultural areas	− 0.00001	0.00000	− 3.55513	< 0.001
Share of wetlands	− 0.00001	0.00001	− 2.79133	0.005
500 m radius (R²_Tjur = 0.060; AUC = 0.672)
Intercept	− 0.29848	0.13850	− 2.15513	0.031
Distance to the Vistula river	− 0.00017	0.00003	− 5.74674	< 0.001
Share of forests	− 0.00000	0.00000	− 4.19826	< 0.001
Share of agricultural areas	− 0.00000	0.00000	− 3.32188	0.001
SHARE of wetlands	− 0.00000	0.00000	− 2.71936	0.007
1500 m radius (R²_Tjur = 0.045; AUC = 0.648)
Intercept	− 0.69091	0.25402	− 2.71995	0.007
Distance to the Vistula river	− 0.00015	0.00003	− 5.16528	< 0.001
Distance to the city centre	− 0.00005	0.00002	− 2.63165	0.008
Share of discontinuous urban fabric	0.00000	0.00000	2.56185	0.010

Results of the logistic regression models for 100, 250, 500 and 1500 buffer radius around location of red fox incident in Warsaw in 1998–2015 has been presented. The explanatory ability of models (R²_Tjur and AUC) is given.

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