Libraries

library(regionaldrivers)

Data loading

SSCT_data and SSCT_labelled_data are loaded with the package. Here is what 10 random rows of each looks like:

SSCT_labelled_data
	CatAreaSqKm	WsAreaSqKm	CHYD	CCHEM	CSED	CCONN	CTEMP	CHABT	ICI	WHYD	WCHEM	WSED	WCONN	WTEMP	WHABT	IWI	PctNonCarbResidCat	PctSilicicCat	PctExtruVolCat	PctAlluvCoastCat	PctNonCarbResidWs	PctSilicicWs	PctExtruVolWs	PctEolCrsWs	PctEolFineWs	PctAlluvCoastWs	PctWaterWs	MineDensWs	MineDensWsRp100	PctUrbOp2011Cat	PctUrbLo2011Cat	PctUrbMd2011Cat	PctBl2011Cat	PctConif2011Cat	PctMxFst2011Cat	PctShrb2011Cat	PctGrs2011Cat	PctHay2011Cat	PctCrop2011Cat	PctWdWet2011Cat	PctHbWet2011Cat	PctOw2011Ws	PctUrbOp2011Ws	PctUrbLo2011Ws	PctUrbMd2011Ws	PctUrbHi2011Ws	PctBl2011Ws	PctDecid2011Ws	PctConif2011Ws	PctMxFst2011Ws	PctShrb2011Ws	PctGrs2011Ws	PctHay2011Ws	PctCrop2011Ws	PctWdWet2011Ws	PctHbWet2011Ws	PctUrbOp2011CatRp100	PctUrbLo2011CatRp100	PctUrbMd2011CatRp100	PctBl2011CatRp100	PctDecid2011CatRp100	PctConif2011CatRp100	PctMxFst2011CatRp100	PctShrb2011CatRp100	PctGrs2011CatRp100	PctOw2011WsRp100	PctUrbOp2011WsRp100	PctUrbLo2011WsRp100	PctUrbMd2011WsRp100	PctUrbHi2011WsRp100	PctBl2011WsRp100	PctDecid2011WsRp100	PctConif2011WsRp100	PctMxFst2011WsRp100	PctShrb2011WsRp100	PctGrs2011WsRp100	PctHay2011WsRp100	PctCrop2011WsRp100	PctWdWet2011WsRp100	PctHbWet2011WsRp100	Precip8110Cat	Tmax8110Cat	Tmean8110Cat	Tmin8110Cat	Precip8110Ws	Tmax8110Ws	Tmean8110Ws	Tmin8110Ws	RunoffCat	RunoffWs	ClayCat	SandCat	ClayWs	SandWs	OmCat	PermCat	RckDepCat	WtDepCat	OmWs	PermWs	RckDepWs	WtDepWs	SLOPE	CONFINEMEN	RUSLE	SO	LDD	aspect_max.rstr	aspect_mean.rstr	aspect_median.rstr	aspect_min.rstr	aspect_sd.rstr	aspect_skew.rstr	curvplan_max.rstr	curvplan_mean.rstr	curvplan_median.rstr	curvplan_min.rstr	curvplan_sd.rstr	curvplan_skew.rstr	curvprof_max.rstr	curvprof_mean.rstr	curvprof_median.rstr	curvprof_min.rstr	curvprof_sd.rstr	curvprof_skew.rstr	flowdir_max.rstr	flowdir_mean.rstr	flowdir_median.rstr	flowdir_min.rstr	flowdir_sd.rstr	flowdir_skew.rstr	layer_max.rstr	layer_mean.rstr	layer_median.rstr	layer_min.rstr	layer_sd.rstr	layer_skew.rstr	roughness_max.rstr	roughness_mean.rstr	roughness_median.rstr	roughness_min.rstr	roughness_sd.rstr	roughness_skew.rstr	slope_max.rstr	slope_mean.rstr	slope_median.rstr	slope_min.rstr	slope_sd.rstr	slope_skew.rstr	tpi_max.rstr	tpi_mean.rstr	tpi_median.rstr	tpi_min.rstr	tpi_sd.rstr	tpi_skew.rstr	tri_max.rstr	tri_mean.rstr	tri_median.rstr	tri_min.rstr	tri_sd.rstr	tri_skew.rstr	aspect_max.nrch	aspect_mean.nrch	aspect_median.nrch	aspect_min.nrch	aspect_sd.nrch	aspect_skew.nrch	curvplan_max.nrch	curvplan_mean.nrch	curvplan_median.nrch	curvplan_min.nrch	curvplan_sd.nrch	curvplan_skew.nrch	curvprof_max.nrch	curvprof_mean.nrch	curvprof_median.nrch	curvprof_min.nrch	curvprof_sd.nrch	curvprof_skew.nrch	flowdir_max.nrch	flowdir_mean.nrch	flowdir_median.nrch	flowdir_min.nrch	flowdir_sd.nrch	flowdir_skew.nrch	layer_max.nrch	layer_mean.nrch	layer_median.nrch	layer_min.nrch	layer_sd.nrch	layer_skew.nrch	roughness_max.nrch	roughness_mean.nrch	roughness_median.nrch	roughness_min.nrch	roughness_sd.nrch	roughness_skew.nrch	slope_max.nrch	slope_mean.nrch	slope_median.nrch	slope_min.nrch	slope_sd.nrch	slope_skew.nrch	tpi_max.nrch	tpi_mean.nrch	tpi_median.nrch	tpi_min.nrch	tpi_sd.nrch	tpi_skew.nrch	tri_max.nrch	tri_mean.nrch	tri_median.nrch	tri_min.nrch	tri_sd.nrch	tri_skew.nrch	H.640	H.960	H.1280	H.1600	H.1920	H.2240	H.2560	H.2880	H.3200	H.3840	H.4480	H.5120	H.5760	H.6400	H.7680	H.8960	H.10240	H.11520	H.12800	H.15360	H.17920	H.20480	H.23040	H.25600	H.30720	H.35840	H.40960	H.46080	H.51200	H.61440	H.71680	H.81920
565413	3.900	229.940	0.991	0.978	0.991	0.930	0.906	0.987	0.799	0.961	0.964	0.963	0.959	0.949	0.954	0.774	6.074	17.998	0	75.928	6.074	17.998	0.000	0.000	0.00	75.928	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	100.000	0.000	0.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	100.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	43.678	0.000	0.000	0.000	56.322	0.000	0.000	0.240	0.168	0.114	0.012	5.026	0.000	2.387	0.014	91.657	0.311	0.000	0.000	0.072	0.000	187.384	24.903	18.108	11.306	187.384	24.903	18.108	11.306	29.683	29.683	13.597	58.616	13.597	58.616	0.286	12.655	49.916	182.88	0.286	12.655	49.916	182.880	0.027	14	7.818	4	0.641	6.280	3.306	2.343	0.007	1.971	-0.040	0.029	0.000	0.001	-0.050	0.007	-1.368	0.026	-0.002	-0.001	-0.058	0.010	-1.515	128	9.877	16	1	14.043	5.284	723.270	621.044	615.245	544.491	42.619	0.411	30.160	14.803	14.659	1.110	5.813	-0.032	1.131	0.593	0.598	0.006	0.231	-0.149	1.984	-0.086	-0.025	-3.054	0.625	-0.778	7.928	4.175	4.193	0.342	1.572	-0.077	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	574.514	571.204	571.337	567.501	2.221	-0.077	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	0.884	0.864	0.838	0.794	0.727	0.739	0.738	0.691	0.766	0.702	0.721	0.670	0.756	0.715	0.773	0.746	0.775	0.713	0.822	0.649	0.676	0.660	0.636	0.743	0.578	0.719	0.619	0.560	0.685	0.720	0.693	0.627
202372	0.084	1029.709	0.860	0.951	0.951	0.899	0.914	0.916	0.585	0.989	0.990	0.986	0.980	0.986	0.979	0.914	0.000	0.000	100	0.000	0.000	0.000	100.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	73.582	0.000	19.364	7.054	0.000	0.000	0.000	0.00	4.388	0.000	0.000	0.000	0.000	0.000	0.000	67.486	0.000	20.448	7.679	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	96.419	0.000	3.581	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	96.419	0.000	3.581	0.000	0.000	0.000	0.000	0.000	1710.105	13.070	6.602	0.132	1674.018	13.058	6.597	0.132	250.000	250.000	12.530	45.000	12.530	45.000	1.110	8.760	130.440	181.32	1.110	8.760	130.440	181.320	0.000	5000	0.012	3	0.797	6.283	3.227	4.064	0.000	2.368	-0.172	0.002	0.000	0.000	-0.002	0.000	0.098	0.002	0.000	0.000	-0.003	0.001	0.018	128	22.684	16	1	34.677	2.318	1270.745	1268.518	1268.452	1267.427	0.510	0.561	0.653	0.126	0.110	0.000	0.095	1.644	0.029	0.005	0.005	0.000	0.004	1.806	0.105	0.001	0.000	-0.111	0.027	0.066	0.187	0.041	0.039	0.000	0.030	1.105	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	1268.467	1268.364	1268.356	1268.242	0.079	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	-Inf	NA	NA	Inf	NA	NA	0.000	0.000	0.000	0.000	0.000	0.250	0.500	0.500	0.500	0.500	0.623	0.500	0.500	0.313	0.379	0.855	0.917	0.827	0.737	0.705	0.616	0.562	0.700	0.577	0.613	0.621	0.576	0.588	0.569	0.501	0.497	0.533
216393	3.585	64.620	0.999	0.991	0.985	0.998	0.997	0.978	0.950	1.000	0.991	0.984	0.997	0.999	0.976	0.947	0.000	0.000	0	100.000	0.000	0.000	0.000	1.078	0.66	98.261	0.000	0.000	0.000	1.766	5.511	0.091	0.000	0.023	0.154	3.546	0.000	38.426	50.175	0.309	0.00	1.104	2.656	6.294	0.674	0.181	1.982	0.015	0.451	0.196	9.468	0.009	38.083	38.376	0.475	0.037	0.000	0.000	0.000	6.595	0.000	7.209	0.000	86.196	0.000	0.000	0.000	0.000	0.000	0.000	6.595	0.000	7.209	0.000	86.196	0.000	0.000	0.000	0.000	0.000	65.790	31.128	23.065	14.998	67.568	31.153	23.097	15.036	8.000	7.998	25.707	31.521	23.365	34.309	0.250	18.110	152.400	154.38	0.239	19.306	152.273	156.432	0.007	1005	0.436	3	0.506	6.251	3.100	3.947	0.080	1.574	-0.354	0.012	0.000	0.000	-0.012	0.002	-0.008	0.025	-0.001	0.000	-0.027	0.004	-0.511	128	12.578	16	1	17.005	4.762	1491.459	1444.894	1439.853	1430.720	13.856	1.434	11.499	3.488	2.890	0.000	2.465	0.904	0.470	0.152	0.134	0.000	0.100	0.734	0.862	-0.030	-0.016	-0.821	0.156	-0.208	2.988	0.991	0.890	0.000	0.645	0.739	3.951	1.891	1.194	0.861	1.172	0.776	0.002	0.000	0.000	-0.005	0.002	-1.566	0.009	-0.001	-0.002	-0.008	0.005	0.024	64.333	15.049	6.00	1.0	20.203	NA	1437.020	1433.846	1433.454	1431.374	1.793	-0.598	3.752	1.838	1.871	0.467	1.073	0.396	0.175	0.086	0.086	0.023	0.050	0.567	0.256	-0.026	-0.049	-0.387	0.168	-0.840	1.272	0.589	0.567	0.179	0.352	0.683	0.731	0.687	0.754	0.743	0.683	0.716	0.735	0.744	0.689	0.804	0.705	0.705	0.636	0.767	0.719	0.697	0.665	0.672	0.676	0.729	0.691	0.613	0.571	0.533	0.545	0.527	0.469	0.459	0.500	0.524	0.541	0.394
244653	15.030	261.372	0.974	0.981	0.975	0.980	0.974	0.972	0.864	0.998	0.990	0.987	0.996	0.998	0.983	0.954	0.000	0.000	0	100.000	53.596	13.386	5.721	0.000	0.00	21.535	5.762	0.002	0.002	7.673	2.805	0.330	0.825	0.000	0.000	0.000	0.495	0.000	87.541	0.000	0.33	5.884	4.266	0.713	0.147	0.054	0.720	0.892	9.465	7.308	49.598	14.079	0.559	5.693	0.285	0.335	20.935	0.407	1.016	0.000	14.228	43.699	0.000	0.000	19.715	0.253	12.487	1.112	4.146	1.062	0.000	17.796	36.906	0.455	2.376	23.407	0.000	0.000	0.000	0.000	521.424	23.830	16.641	9.449	887.927	21.715	14.713	7.705	296.332	308.770	28.420	23.368	27.656	27.220	0.230	2.390	152.400	175.48	0.743	2.265	85.491	180.087	0.009	56	0.331	4	0.667	6.282	2.896	3.230	0.001	1.845	0.006	0.024	0.001	0.001	-0.052	0.007	-1.956	0.032	-0.002	-0.001	-0.061	0.010	-1.585	128	9.431	16	1	10.467	4.744	467.132	410.465	408.914	374.310	23.221	0.276	27.733	8.204	7.700	0.230	4.029	0.977	1.214	0.341	0.324	0.006	0.170	0.988	2.637	-0.030	0.008	-4.041	0.555	-1.644	9.606	2.502	2.374	0.073	1.253	1.433	5.390	4.250	4.165	1.254	1.026	-0.631	0.001	-0.001	-0.001	-0.006	0.002	-0.684	0.000	-0.004	-0.003	-0.012	0.003	-0.958	58.667	16.149	16.00	1.0	15.186	0.456	377.807	377.052	377.018	376.470	0.401	0.414	3.136	1.612	1.453	0.852	0.617	1.198	0.126	0.062	0.054	0.029	0.028	1.234	-0.008	-0.193	-0.175	-0.486	0.131	-0.531	0.991	0.543	0.489	0.294	0.199	0.959	0.932	0.939	0.917	0.859	0.861	0.883	0.732	0.814	0.781	0.818	0.781	0.669	0.621	0.673	0.561	0.597	0.568	0.460	0.535	0.545	0.536	0.741	0.490	0.656	0.496	0.553	0.610	0.485	0.591	0.594	0.610	0.598
430586	4.277	11.821	0.964	0.944	0.931	0.922	0.900	0.909	0.639	0.985	0.970	0.959	0.967	0.959	0.950	0.806	0.000	100.000	0	0.000	0.000	100.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	69.949	0.000	29.356	0.694	0.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	1.467	0.000	79.023	0.000	18.261	1.248	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	54.545	0.000	45.455	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	82.184	0.000	14.984	1.864	0.000	0.000	0.000	0.967	708.558	11.952	5.662	-0.630	721.355	11.923	5.624	-0.678	80.000	80.000	24.055	34.179	23.412	34.758	1.692	5.209	126.291	182.88	1.538	5.440	130.677	182.880	0.028	194	0.112	2	0.878	6.283	3.049	1.890	0.003	1.880	0.289	0.024	0.000	0.000	-0.025	0.003	-0.424	0.039	0.000	0.000	-0.034	0.006	-0.003	128	9.759	1	1	16.799	4.773	199.359	180.659	181.736	158.183	9.420	-0.160	14.430	3.045	2.376	0.237	2.128	2.158	0.660	0.139	0.108	0.005	0.095	2.005	1.737	-0.002	0.008	-1.838	0.274	0.038	4.315	0.936	0.737	0.091	0.609	2.091	5.543	5.156	5.156	4.732	0.238	-0.233	0.004	0.000	0.000	-0.006	0.002	0.181	0.004	-0.004	-0.001	-0.017	0.007	-0.188	16.000	16.000	16.00	16.0	0.000	NA	173.252	170.031	170.203	166.047	2.305	-0.329	7.813	4.862	4.340	2.667	1.544	0.578	0.345	0.216	0.192	0.124	0.070	0.570	0.191	-0.132	-0.056	-0.645	0.250	-0.482	2.274	1.441	1.306	0.806	0.463	0.560	0.625	0.807	0.875	0.746	0.868	0.782	0.846	0.712	0.718	0.745	0.753	0.683	0.667	0.751	0.654	0.560	0.576	0.630	0.570	0.337	0.477	0.493	0.622	0.722	0.513	0.608	0.523	0.571	0.636	0.458	0.617	0.496
276012	1.821	51.746	1.000	0.983	1.000	1.000	1.000	1.000	0.983	1.000	0.984	0.995	0.999	1.000	0.993	0.971	100.000	0.000	0	0.000	100.000	0.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	100.000	0.000	0.000	0.000	0.00	0.000	2.548	0.000	0.000	0.000	0.000	0.000	0.000	0.000	10.194	87.258	0.000	0.000	0.000	0.000	0.000	0.000	0.000	100.000	0.000	0.000	0.000	0.000	0.000	0.040	2.760	0.118	0.291	0.100	2.682	2.529	25.666	2.079	24.453	36.499	1.767	0.896	0.110	0.009	626.533	23.732	17.141	10.544	634.182	23.644	17.051	10.452	521.000	510.028	31.080	21.186	31.080	19.438	1.960	3.640	54.260	182.88	1.960	3.640	54.260	182.880	0.060	9	1.326	3	0.710	6.282	2.863	3.527	0.037	1.750	0.069	0.026	0.001	0.002	-0.072	0.008	-2.503	0.023	-0.003	-0.001	-0.100	0.012	-2.281	128	9.472	16	1	11.177	5.352	706.244	612.017	603.167	568.471	32.300	0.824	27.279	10.537	10.233	0.354	5.161	0.409	1.270	0.464	0.455	0.001	0.227	0.387	2.386	-0.071	0.020	-4.710	0.659	-1.338	7.974	3.088	2.995	0.182	1.489	0.437	4.722	3.670	3.630	2.471	0.652	-0.175	0.006	0.001	0.001	-0.005	0.003	-0.321	0.001	-0.012	-0.011	-0.031	0.009	-0.560	32.000	13.075	12.25	8.5	4.474	NA	580.338	576.339	576.029	573.790	2.025	0.447	8.424	5.594	5.643	3.045	1.625	-0.069	0.425	0.250	0.246	0.112	0.093	-0.111	0.178	-0.306	-0.281	-0.911	0.331	-0.119	2.673	1.655	1.643	0.948	0.520	-0.009	0.892	0.865	0.779	0.761	0.720	0.649	0.707	0.677	0.667	0.647	0.624	0.612	0.629	0.592	0.519	0.566	0.585	0.563	0.573	0.511	0.466	0.593	0.429	0.455	0.404	0.572	0.632	0.343	0.556	0.494	0.423	0.523
91178	9.129	23.044	1.000	0.981	0.986	0.977	0.970	0.982	0.900	0.998	0.980	0.983	0.990	0.990	0.981	0.925	100.000	0.000	0	0.000	100.000	0.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	0.000	0.000	3.548	8.792	9.100	53.008	25.553	0.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	0.000	3.548	0.000	8.792	9.100	53.008	25.553	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	9.524	0.714	0.000	6.310	83.452	0.000	0.000	0.000	0.000	0.000	0.000	9.524	0.714	0.000	6.310	83.452	0.000	0.000	0.000	0.000	330.223	19.772	13.355	6.930	330.223	19.772	13.355	6.930	66.000	66.000	31.450	17.280	31.450	17.280	0.800	1.900	83.440	182.88	0.800	1.900	83.440	182.880	0.024	0	2.962	2	0.739	6.281	2.743	3.513	0.000	1.960	-0.027	0.019	0.000	0.001	-0.045	0.006	-2.135	0.028	-0.001	0.000	-0.073	0.010	-2.806	128	10.423	16	1	12.268	5.214	313.504	250.238	250.078	195.413	28.485	0.195	22.240	8.995	9.066	2.394	3.577	0.192	0.934	0.382	0.381	0.015	0.159	0.318	1.516	-0.049	0.020	-3.786	0.492	-2.230	7.353	2.774	2.668	0.776	1.229	0.653	4.844	3.619	3.874	2.503	0.733	-0.164	0.005	0.000	0.000	-0.009	0.003	-0.714	0.014	-0.010	-0.015	-0.032	0.014	-0.054	21.333	16.033	16.00	11.0	2.372	NA	219.646	214.770	214.715	209.893	2.691	-0.012	13.572	9.736	9.924	5.809	2.275	-0.036	0.562	0.382	0.393	0.211	0.113	0.053	0.801	-0.409	-0.502	-1.603	0.651	-0.244	3.954	2.891	2.929	1.892	0.589	0.023	0.924	0.908	0.887	0.900	0.866	0.840	0.821	0.828	0.805	0.796	0.766	0.742	0.717	0.656	0.682	0.629	0.645	0.674	0.590	0.670	0.546	0.648	0.466	0.563	0.492	0.508	0.524	0.437	0.421	0.561	0.420	0.424
160040	0.497	20.491	0.984	0.978	0.978	0.967	0.956	0.971	0.845	0.994	0.983	0.990	0.980	0.980	0.983	0.913	0.000	100.000	0	0.000	0.000	100.000	0.000	0.000	0.00	0.000	0.000	0.000	0.000	5.720	0.000	0.000	1.479	75.838	4.734	10.947	1.282	0.000	0.000	0.000	0.00	0.000	5.720	0.000	0.000	0.000	1.479	0.000	75.838	4.734	10.947	1.282	0.000	0.000	0.000	0.000	0.284	0.000	0.000	0.000	6.117	85.633	5.974	1.565	0.427	0.000	0.284	0.000	0.000	0.000	0.000	6.117	85.633	5.974	1.565	0.427	0.000	0.000	0.000	0.000	1106.369	20.501	14.834	9.164	1106.369	20.501	14.834	9.164	592.000	592.000	30.120	26.410	30.120	26.410	1.090	2.880	82.790	182.88	1.090	2.880	82.790	182.880	0.041	22	4.648	3	0.584	6.283	2.868	2.752	0.000	2.059	0.293	0.056	0.002	0.001	-0.037	0.009	0.630	0.042	-0.003	-0.001	-0.059	0.012	-1.036	128	8.049	1	1	13.647	5.877	303.098	214.667	211.644	167.139	32.481	0.394	24.591	11.893	11.961	0.274	4.505	-0.479	1.153	0.502	0.520	0.007	0.197	-0.460	3.051	-0.046	-0.026	-3.567	0.767	-0.242	7.751	3.722	3.864	0.052	1.410	-0.466	4.045	2.844	2.899	1.334	0.613	-0.370	0.015	0.002	0.001	-0.008	0.006	0.292	0.007	-0.011	-0.009	-0.037	0.013	-0.732	40.250	5.756	4.75	1.0	10.925	NA	176.711	172.582	172.097	170.374	2.072	0.365	10.530	5.942	6.283	1.791	3.020	0.469	0.439	0.247	0.270	0.049	0.131	0.298	0.814	-0.390	-0.442	-1.585	0.661	-0.358	3.405	1.933	2.067	0.533	0.970	0.401	0.855	0.768	0.741	0.698	0.643	0.612	0.663	0.622	0.630	0.658	0.656	0.665	0.649	0.658	0.672	0.661	0.580	0.639	0.673	0.660	0.635	0.537	0.671	0.581	0.607	0.504	0.450	0.505	0.497	0.478	0.476	0.418
262078	1.038	19.974	1.000	0.984	0.985	0.999	1.000	0.983	0.952	0.999	0.981	0.971	0.995	0.998	0.964	0.913	100.000	0.000	0	0.000	97.212	0.000	1.252	0.000	0.00	1.536	0.000	0.000	0.000	10.992	0.000	0.000	0.000	0.000	0.000	61.662	27.346	0.000	0.000	0.000	0.00	0.000	4.002	0.000	0.000	0.000	0.000	2.046	16.983	11.144	60.271	5.553	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	17.812	42.224	0.000	34.268	5.696	0.000	1.898	0.000	0.000	0.000	0.000	2.212	76.933	0.257	16.364	2.023	0.000	0.000	0.000	0.314	1038.830	22.626	14.929	7.229	1149.950	21.435	14.812	8.185	389.000	388.961	26.220	28.144	30.977	22.159	0.460	1.420	151.630	177.92	0.652	1.973	77.936	182.524	0.024	444	82.333	2	0.727	6.281	2.564	3.193	0.001	1.871	0.130	0.010	0.000	0.000	-0.021	0.003	-2.244	0.027	0.000	0.000	-0.036	0.004	-0.989	128	9.537	16	1	11.344	4.867	846.515	820.009	819.943	798.600	9.601	0.088	13.363	3.151	2.926	0.257	1.546	2.140	0.578	0.132	0.122	0.003	0.066	2.009	1.290	-0.016	-0.001	-1.751	0.208	-1.089	4.340	0.944	0.864	0.087	0.475	2.146	2.817	1.402	1.829	0.162	1.060	0.564	0.003	-0.001	0.000	-0.008	0.003	-0.918	0.011	-0.002	-0.003	-0.008	0.005	0.851	22.000	5.067	6.00	1.0	4.958	NA	810.975	807.308	806.712	803.844	2.076	0.229	4.194	2.634	2.547	1.401	0.833	0.197	0.188	0.107	0.100	0.054	0.038	0.443	0.430	-0.063	-0.103	-0.392	0.193	0.758	1.438	0.819	0.775	0.417	0.292	0.533	0.675	0.818	0.778	0.839	0.907	0.813	0.821	0.841	0.780	0.731	0.727	0.716	0.662	0.666	0.642	0.665	0.568	0.586	0.536	0.517	0.482	0.471	0.466	0.473	0.413	0.421	0.406	0.431	0.413	0.399	0.436	0.490
587637	2.913	361.216	0.999	0.989	0.990	0.963	0.951	0.986	0.883	1.000	0.992	0.993	0.993	0.998	0.988	0.965	0.000	0.000	0	100.000	75.647	0.000	0.000	0.000	0.00	24.353	0.000	0.000	0.000	40.104	0.000	0.000	19.271	0.000	0.000	0.000	40.625	0.000	0.000	0.000	0.00	0.000	7.586	1.366	0.217	0.102	37.559	0.000	0.000	0.000	30.454	22.717	0.000	0.000	0.000	0.000	13.469	0.000	0.000	3.875	0.000	0.000	0.000	11.070	71.587	0.000	7.208	0.069	0.000	0.000	5.472	0.000	0.000	0.171	54.055	32.945	0.000	0.000	0.000	0.080	173.341	25.047	17.680	10.308	200.100	23.817	16.510	9.199	84.000	83.226	15.530	53.540	16.881	46.054	0.050	10.160	152.400	182.88	0.158	4.830	76.679	182.880	0.016	4	1.204	5	1.165	6.283	3.731	3.449	0.004	1.726	-0.243	0.037	0.001	0.002	-0.064	0.010	-1.565	0.033	-0.002	0.000	-0.086	0.012	-2.480	128	10.875	16	1	11.276	4.589	873.703	773.244	767.021	706.280	41.823	0.319	32.462	13.664	13.851	0.448	5.425	-0.021	1.435	0.566	0.577	0.009	0.231	0.014	4.172	-0.057	0.065	-6.405	0.867	-1.684	11.600	4.295	4.226	0.160	1.794	0.270	6.271	5.310	6.040	3.196	1.242	-0.379	0.003	-0.002	-0.001	-0.018	0.005	-0.968	0.000	-0.020	-0.019	-0.037	0.012	0.189	26.667	15.724	16.00	6.0	4.547	NA	718.607	714.486	714.432	710.590	2.699	0.452	16.293	10.670	9.831	7.224	3.142	0.360	0.750	0.467	0.442	0.280	0.164	0.306	-0.280	-1.127	-1.008	-2.317	0.758	-0.450	5.928	3.964	3.620	2.867	1.068	0.465	0.915	0.839	0.788	0.847	0.805	0.772	0.726	0.728	0.740	0.680	0.668	0.680	0.671	0.636	0.600	0.586	0.618	0.559	0.578	0.565	0.588	0.648	0.506	0.584	0.543	0.535	0.564	0.587	0.584	0.586	0.558	0.724

SSCT_data
SiteID	POINT_Y	POINT_X	ward
SAC_PGR_509BCCBPW	39.870	-121.707	10
SAC_RGW_504PS0019	39.728	-121.881	2
NCC_CH_5_15485	38.533	-123.005	9
SAC_WS_7	41.061	-122.365	8
SJT_PL_2_103998	38.407	-120.879	1
SFE_2018_83	39.734	-123.636	3
SAC_PGR_35	38.704	-122.111	3
SAC_LSR_518CE0242	39.951	-120.921	8
SJT_CH_3_107462	38.719	-120.502	1
SAC_RGW_16	39.064	-121.091	3

Data transformation

We transform the data to retain what we need for the analysis.

drivers_data <- cbind(SSCT_labelled_data, SSCT_data) %>%
  dplyr::select(-c("SiteID", "POINT_X", "POINT_X"))

Feature importance

The function feature_importance() derives the feature importance from drivers_data and the name of the target column, here ward. The filter_methods argument accepts filter methods from mlr. The function resamples the dataset iters time, for this vignette, the number of iterations was lowered to 10 from the default value of 500.

class(drivers_data[["ward"]])
#> [1] "integer"
varimp <- feature_importance(
  drivers_data, "ward", 
  filter_methods = c("FSelector_information.gain", "randomForest_importance"),
  .iters = 10,
  .first = 10)
varimp$p
#> [[1]]

#> 
#> [[2]]

The function also works for numerical data using a regression task. This behavior is triggered by the class() of the target. If the target is not an integer, character or factor, feature_importance() attemps to create a regression task. Some methods, like FSelectorRcpp_information.gain will warn you that they are discretizing numeric input.

class(drivers_data[["SLOPE"]])
#> [1] "numeric"
varimp <- feature_importance(
  drivers_data, "SLOPE", 
  filter_methods = c("FSelector_information.gain", "randomForest_importance"),
  .iters = 10,
  .first = 10)
varimp$p
#> [[1]]

#> 
#> [[2]]