>Warning.  Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type.  Value
>will be mapped to the system missing value.
>* (Row# 187, Column# 39)


>Warning.  Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type.  Value
>will be mapped to the system missing value.
>* (Row# 187, Column# 40)


>Warning.  Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type.  Value
>will be mapped to the system missing value.
>* (Row# 187, Column# 41)


>Warning.  Command name: GET DATA
>(2111) Encountered a String type value in a column not of that type.  Value
>will be mapped to the system missing value.
>* (Row# 187, Column# 42)

Logistic Regression

**Notes**
Output Created		10-FEB-2003 14:02:46
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing
Syntax		LOGISTIC REGRESSION VAR=status /METHOD=FSTEP(LR) dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc so_dist rv_dist rclam_di rcat_dis pc_dist nv_dist ns_dist hc_dist bf_dist am_dist ac_dist nwet nnonfor nfor ndist /SAVE PRED /CLASSPLOT /CASEWISE /PRINT=GOODFIT SUMMARY /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Variables Created or Modified	PRE_1	Predicted probability
Resources	Elapsed Time	0:00:00.87

**Case Processing Summary**
Unweighted Cases(a)		N	Percent
Selected Cases	Included in Analysis	984	99.9
	Missing Cases	1	.1
	Total	985	100.0
Unselected Cases		0	.0
Total		985	100.0
a If weight is in effect, see classification table for the total number of cases.

**Dependent Variable Encoding**
Original Value	Internal Value
Absent	0
Present	1

Block 0: Beginning Block

**Classification Table(a,b)**
			Predicted
			STATUS		Percentage Correct
	Observed		Absent	Present	Percentage Correct
Step 0	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
a Constant is included in the model.
b The cut value is .500

**Variables in the Equation**
		B	S.E.	Wald	df	Sig.	Exp(B)
Step 0	Constant	-2.970	.148	402.862	1	.000	.051

**Variables not in the Equation(a)**
			Score	df	Sig.
Step 0	Variables	DIST_ROA	.437	1	.508
		DIST_WET	2.826	1	.093
		DIST_FOR	6.174	1	.013
		DIST_NON	.000	1	.995
		ELEVATIO	.531	1	.466
		ASPECT_T	1.073	1	.300
		SLOPE	.020	1	.887
		FOR_PERC	1.178	1	.278
		WET_PERC	7.134	1	.008
		NON_PERC	15.839	1	.000
		SO_DIST	5.729	1	.017
		RV_DIST	3.190	1	.074
		RCLAM_DI	2.274	1	.132
		RCAT_DIS	5.596	1	.018
		PC_DIST	.843	1	.359
		NV_DIST	1.074	1	.300
		NS_DIST	3.640	1	.056
		HC_DIST	12.992	1	.000
		BF_DIST	2.305	1	.129
		AM_DIST	1.796	1	.180
		AC_DIST	7.542	1	.006
		NWET	1.012	1	.315
		NNONFOR	2.542	1	.111
		NFOR	.010	1	.922
		NDIST	.079	1	.779
a Residual Chi-Squares are not computed because of redundancies.

Block 1: Method = Forward Stepwise (Likelihood Ratio)

**Omnibus Tests of Model Coefficients**
		Chi-square	df	Sig.
Step 1	Step	10.644	1	.001
	Block	10.644	1	.001
	Model	10.644	1	.001
Step 2	Step	10.691	1	.001
	Block	21.335	2	.000
	Model	21.335	2	.000
Step 3	Step	7.370	1	.007
	Block	28.705	3	.000
	Model	28.705	3	.000

**Model Summary**
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	372.936	.011	.033
2	362.245	.021	.066
3	354.875	.029	.089

**Hosmer and Lemeshow Test**
Step	Chi-square	df	Sig.
1	2.155	1	.142
2	9.093	7	.246
3	9.926	8	.270

**Contingency Table for Hosmer and Lemeshow Test**
		STATUS = Absent		STATUS = Present		Total
		Observed	Expected	Observed	Expected	Total
Step 1	1	752	755.154	35	31.846	787
	2	96	93.081	2	4.919	98
	3	88	87.765	11	11.235	99
Step 2	1	168	165.907	2	4.093	170
	2	98	98.448	3	2.552	101
	3	93	95.225	5	2.775	98
	4	94	93.853	3	3.147	97
	5	92	94.298	6	3.702	98
	6	91	93.513	7	4.487	98
	7	96	93.637	3	5.363	99
	8	95	91.534	3	6.466	98
	9	109	109.583	16	15.417	125
Step 3	1	97	96.491	1	1.509	98
	2	94	96.162	4	1.838	98
	3	98	95.772	0	2.228	98
	4	96	95.193	2	2.807	98
	5	95	94.831	3	3.169	98
	6	91	94.163	7	3.837	98
	7	94	93.315	4	4.685	98
	8	92	92.392	6	5.608	98
	9	94	90.823	4	7.177	98
	10	85	86.854	17	15.146	102

**Classification Table(a)**
			Predicted
			STATUS		Percentage Correct
	Observed		Absent	Present	Percentage Correct
Step 1	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
Step 2	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
Step 3	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
a The cut value is .500

**Variables in the Equation**
		B	S.E.	Wald	df	Sig.	Exp(B)
Step 1(a)	NON_PERC	2.277	.618	13.575	1	.000	9.743
Step 1(a)	Constant	-3.166	.168	355.505	1	.000	.042
Step 2(b)	NON_PERC	2.149	.621	11.991	1	.001	8.575
	HC_DIST	.001	.000	11.344	1	.001	1.001
	Constant	-3.702	.256	209.860	1	.000	.025
Step 3(c)	NON_PERC	2.328	.629	13.696	1	.000	10.256
	SO_DIST	.000	.000	7.892	1	.005	1.000
	HC_DIST	.001	.000	12.256	1	.000	1.001
	Constant	-4.250	.343	153.457	1	.000	.014
a Variable(s) entered on step 1: NON_PERC.
b Variable(s) entered on step 2: HC_DIST.
c Variable(s) entered on step 3: SO_DIST.

**Variables not in the Equation(a)**
			Score	df	Sig.
Step 1	Variables	DIST_ROA	.071	1	.790
		DIST_WET	1.766	1	.184
		DIST_FOR	2.813	1	.093
		DIST_NON	2.420	1	.120
		ELEVATIO	.005	1	.942
		ASPECT_T	1.259	1	.262
		SLOPE	.161	1	.688
		FOR_PERC	.054	1	.816
		WET_PERC	5.047	1	.025
		SO_DIST	7.137	1	.008
		RV_DIST	5.088	1	.024
		RCLAM_DI	1.628	1	.202
		RCAT_DIS	7.098	1	.008
		PC_DIST	2.046	1	.153
		NV_DIST	.868	1	.351
		NS_DIST	5.923	1	.015
		HC_DIST	11.856	1	.001
		BF_DIST	2.746	1	.098
		AM_DIST	1.639	1	.201
		AC_DIST	8.401	1	.004
		NWET	.450	1	.502
		NNONFOR	.002	1	.964
		NFOR	1.270	1	.260
		NDIST	2.920	1	.087
Step 2	Variables	DIST_ROA	.377	1	.539
		DIST_WET	2.039	1	.153
		DIST_FOR	2.592	1	.107
		DIST_NON	1.014	1	.314
		ELEVATIO	.057	1	.812
		ASPECT_T	1.200	1	.273
		SLOPE	.110	1	.740
		FOR_PERC	.200	1	.655
		WET_PERC	4.781	1	.029
		SO_DIST	8.178	1	.004
		RV_DIST	3.239	1	.072
		RCLAM_DI	.337	1	.562
		RCAT_DIS	4.738	1	.029
		PC_DIST	2.918	1	.088
		NV_DIST	.015	1	.903
		NS_DIST	3.219	1	.073
		BF_DIST	.627	1	.428
		AM_DIST	.376	1	.540
		AC_DIST	4.178	1	.041
		NWET	.487	1	.485
		NNONFOR	.004	1	.952
		NFOR	1.160	1	.282
		NDIST	2.943	1	.086
Step 3	Variables	DIST_ROA	.321	1	.571
		DIST_WET	.754	1	.385
		DIST_FOR	3.233	1	.072
		DIST_NON	.563	1	.453
		ELEVATIO	.596	1	.440
		ASPECT_T	.999	1	.317
		SLOPE	.054	1	.816
		FOR_PERC	.556	1	.456
		WET_PERC	3.099	1	.078
		RV_DIST	.560	1	.454
		RCLAM_DI	.108	1	.742
		RCAT_DIS	.217	1	.641
		PC_DIST	1.435	1	.231
		NV_DIST	.063	1	.802
		NS_DIST	.323	1	.570
		BF_DIST	.054	1	.817
		AM_DIST	.575	1	.448
		AC_DIST	2.094	1	.148
		NWET	.065	1	.798
		NNONFOR	.083	1	.774
		NFOR	.058	1	.810
		NDIST	1.487	1	.223
a Residual Chi-Squares are not computed because of redundancies.

**Step Summary(a,b)**
	Improvement			Model			Correct Class %	Variable
Step	Chi-square	df	Sig.	Chi-square	df	Sig.	Correct Class %	Variable
1	10.644	1	.001	10.644	1	.001	95.1%	IN: NON_PERC
2	10.691	1	.001	21.335	2	.000	95.1%	IN: HC_DIST
3	7.370	1	.007	28.705	3	.000	95.1%	IN: SO_DIST
a No more variables can be deleted from or added to the current model.
b End block: 1

             Step number: 1

             Observed Groups and Predicted Probabilities

    1600 ô                                                            ô
         ó                                                            ó
         ó                                                            ó
F        ó                                                            ó
R   1200 ô                                                            ô
E        ó                                                            ó
Q        ó                                                            ó
U        ó                                                            ó
E    800 ô  A                                                         ô
N        ó  A                                                         ó
C        ó  A                                                         ó
Y        ó  A                                                         ó
     400 ô  A                                                         ô
         ó  A                                                         ó
         ó  A                                                         ó
         ó  A                                                         ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
  Prob:   0            .25            .5             .75             1
  Group:  AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

          Predicted Probability is of Membership for Present
          The Cut Value is .50
          Symbols: A - Absent
                   P - Present
          Each Symbol Represents 100 Cases.





             Step number: 2

             Observed Groups and Predicted Probabilities

     800 ô                                                            ô
         ó                                                            ó
         ó                                                            ó
F        ó                                                            ó
R    600 ô                                                            ô
E        ó                                                            ó
Q        ó                                                            ó
U        ó A                                                          ó
E    400 ô A                                                          ô
N        ó A                                                          ó
C        ó A                                                          ó
Y        ó AP                                                         ó
     200 ô AA                                                         ô
         ó AAA                                                        ó
         ó AAA                                                        ó
         ó AAAAA                                                      ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
  Prob:   0            .25            .5             .75             1
  Group:  AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

          Predicted Probability is of Membership for Present
          The Cut Value is .50
          Symbols: A - Absent
                   P - Present
          Each Symbol Represents 50 Cases.





             Step number: 3

             Observed Groups and Predicted Probabilities

     400 ô                                                            ô
         ó A                                                          ó
         ó A                                                          ó
F        ó A                                                          ó
R    300 ô A                                                          ô
E        ó A                                                          ó
Q        ó A                                                          ó
U        ó A                                                          ó
E    200 ô AA                                                         ô
N        ó AA                                                         ó
C        ó AAA                                                        ó
Y        ó AAA                                                        ó
     100 ô AAA                                                        ô
         óAAAAP                                                       ó
         óAAAAA                                                       ó
         óAAAAAAP A                                                   ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
  Prob:   0            .25            .5             .75             1
  Group:  AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

          Predicted Probability is of Membership for Present
          The Cut Value is .50
          Symbols: A - Absent
                   P - Present
          Each Symbol Represents 25 Cases.

**Casewise List**
	Selected Status(a)	Observed	Predicted	Predicted Group	Temporary Variable
Case	Selected Status(a)	STATUS	Predicted	Predicted Group	Resid	ZResid
1	S	A	.030	A	-.030	-.175
2	S	A	.024	A	-.024	-.156
3	S	A	.041	A	-.041	-.207
4	S	A	.048	A	-.048	-.225
5	S	A	.036	A	-.036	-.193
6	S	A	.027	A	-.027	-.166
7	S	A	.032	A	-.032	-.180
8	S	A	.021	A	-.021	-.146
9	S	A	.015	A	-.015	-.125
10	S	A	.020	A	-.020	-.142
11	S	A	.019	A	-.019	-.141
12	S	A	.019	A	-.019	-.141
13	S	A	.015	A	-.015	-.125
14	S	A	.021	A	-.021	-.146
15	S	A	.098	A	-.098	-.330
16	S	A	.065	A	-.065	-.264
17	S	A	.056	A	-.056	-.244
18	S	A	.019	A	-.019	-.138
19	S	A	.065	A	-.065	-.264
20	S	A	.057	A	-.057	-.245
21	S	A	.042	A	-.042	-.209
22	S	A	.066	A	-.066	-.267
23	S	A	.020	A	-.020	-.145
24	S	A	.041	A	-.041	-.207
25	S	A	.075	A	-.075	-.284
26	S	A	.045	A	-.045	-.217
27	S	A	.050	A	-.050	-.230
28	S	A	.036	A	-.036	-.193
29	S	A	.029	A	-.029	-.172
30	S	A	.082	A	-.082	-.298
31	S	A	.068	A	-.068	-.271
32	S	A	.058	A	-.058	-.248
33	S	A	.136	A	-.136	-.397
34	S	A	.045	A	-.045	-.218
35	S	A	.029	A	-.029	-.173
36	S	A	.028	A	-.028	-.169
37	S	A	.083	A	-.083	-.302
38	S	A	.046	A	-.046	-.219
39	S	A	.066	A	-.066	-.266
40	S	A	.409	A	-.409	-.832
41	S	A	.135	A	-.135	-.395
42	S	A	.060	A	-.060	-.253
43	S	A	.025	A	-.025	-.159
44	S	A	.069	A	-.069	-.271
45	S	A	.064	A	-.064	-.262
46	S	A	.050	A	-.050	-.229
47	S	A	.029	A	-.029	-.174
48	S	A	.030	A	-.030	-.175
49	S	A	.027	A	-.027	-.166
50	S	A	.172	A	-.172	-.457
51	S	A	.024	A	-.024	-.156
52	S	A	.015	A	-.015	-.122
53	S	A	.019	A	-.019	-.139
54	S	A	.139	A	-.139	-.402
55	S	A	.061	A	-.061	-.255
56	S	A	.066	A	-.066	-.266
57	S	A	.023	A	-.023	-.153
58	S	A	.054	A	-.054	-.238
59	S	A	.039	A	-.039	-.202
60	S	A	.045	A	-.045	-.216
61	S	A	.035	A	-.035	-.190
62	S	A	.031	A	-.031	-.179
63	S	A	.031	A	-.031	-.179
64	S	A	.032	A	-.032	-.181
65	S	A	.033	A	-.033	-.184
66	S	A	.025	A	-.025	-.160
67	S	A	.034	A	-.034	-.187
68	S	A	.035	A	-.035	-.190
69	S	A	.032	A	-.032	-.182
70	S	A	.042	A	-.042	-.209
71	S	A	.030	A	-.030	-.175
72	S	A	.077	A	-.077	-.289
73	S	A	.061	A	-.061	-.255
74	S	A	.049	A	-.049	-.228
75	S	A	.030	A	-.030	-.176
76	S	A	.087	A	-.087	-.308
77	S	A	.043	A	-.043	-.211
78	S	A	.064	A	-.064	-.261
79	S	A	.044	A	-.044	-.215
80	S	A	.020	A	-.020	-.145
81	S	A	.046	A	-.046	-.221
82	S	A	.086	A	-.086	-.306
83	S	A	.050	A	-.050	-.229
84	S	A	.055	A	-.055	-.241
85	S	A	.052	A	-.052	-.235
86	S	A	.028	A	-.028	-.171
87	S	A	.169	A	-.169	-.451
88	S	A	.047	A	-.047	-.223
89	S	A	.037	A	-.037	-.196
90	S	A	.034	A	-.034	-.187
91	S	A	.031	A	-.031	-.178
92	S	A	.053	A	-.053	-.236
93	S	A	.093	A	-.093	-.320
94	S	A	.050	A	-.050	-.230
95	S	A	.075	A	-.075	-.284
96	S	A	.034	A	-.034	-.187
97	S	A	.028	A	-.028	-.171
98	S	A	.052	A	-.052	-.235
99	S	A	.034	A	-.034	-.187
100	S	A	.184	A	-.184	-.475
101	S	A	.050	A	-.050	-.231
102	S	A	.054	A	-.054	-.238
103	S	A	.031	A	-.031	-.179
104	S	A	.020	A	-.020	-.142
105	S	A	.044	A	-.044	-.216
106	S	A	.042	A	-.042	-.210
107	S	A	.062	A	-.062	-.257
108	S	A	.078	A	-.078	-.291
109	S	A	.036	A	-.036	-.192
110	S	A	.106	A	-.106	-.345
111	S	A	.024	A	-.024	-.156
112	S	A	.050	A	-.050	-.230
113	S	A	.032	A	-.032	-.183
114	S	A	.037	A	-.037	-.195
115	S	A	.061	A	-.061	-.255
116	S	A	.072	A	-.072	-.279
117	S	A	.079	A	-.079	-.293
118	S	A	.028	A	-.028	-.171
119	S	A	.091	A	-.091	-.316
120	S	A	.061	A	-.061	-.254
121	S	A	.057	A	-.057	-.247
122	S	A	.093	A	-.093	-.321
123	S	A	.054	A	-.054	-.239
124	S	A	.053	A	-.053	-.237
125	S	A	.070	A	-.070	-.274
126	S	A	.069	A	-.069	-.273
127	S	A	.093	A	-.093	-.320
128	S	A	.077	A	-.077	-.288
129	S	A	.136	A	-.136	-.397
130	S	A	.031	A	-.031	-.178
131	S	A	.038	A	-.038	-.200
132	S	A	.076	A	-.076	-.286
133	S	A	.028	A	-.028	-.171
134	S	A	.068	A	-.068	-.270
135	S	A	.040	A	-.040	-.203
136	S	A	.051	A	-.051	-.231
137	S	A	.046	A	-.046	-.221
138	S	A	.053	A	-.053	-.236
139	S	A	.037	A	-.037	-.196
140	S	A	.029	A	-.029	-.174
141	S	A	.046	A	-.046	-.219
142	S	A	.019	A	-.019	-.139
143	S	A	.026	A	-.026	-.164
144	S	A	.019	A	-.019	-.140
145	S	A	.015	A	-.015	-.122
146	S	A	.034	A	-.034	-.187
147	S	A	.055	A	-.055	-.240
148	S	A	.051	A	-.051	-.232
149	S	A	.080	A	-.080	-.294
150	S	A	.032	A	-.032	-.181
151	S	A	.044	A	-.044	-.214
152	S	A	.079	A	-.079	-.293
153	S	A	.030	A	-.030	-.175
154	S	A	.124	A	-.124	-.376
155	S	A	.105	A	-.105	-.342
156	S	A	.079	A	-.079	-.293
157	S	A	.069	A	-.069	-.273
158	S	A	.049	A	-.049	-.228
159	S	A	.040	A	-.040	-.205
160	S	A	.081	A	-.081	-.297
161	S	A	.112	A	-.112	-.355
162	S	A	.033	A	-.033	-.183
163	S	A	.031	A	-.031	-.178
164	S	A	.066	A	-.066	-.267
165	S	A	.042	A	-.042	-.209
166	S	A	.015	A	-.015	-.123
167	S	A	.066	A	-.066	-.266
168	S	A	.053	A	-.053	-.236
169	S	A	.055	A	-.055	-.242
170	S	A	.056	A	-.056	-.243
171	S	A	.077	A	-.077	-.290
172	S	A	.039	A	-.039	-.202
173	S	A	.058	A	-.058	-.249
174	S	A	.121	A	-.121	-.371
175	S	A	.042	A	-.042	-.210
176	S	A	.062	A	-.062	-.257
177	S	A	.033	A	-.033	-.186
178	S	A	.184	A	-.184	-.474
179	S	A	.019	A	-.019	-.141
180	S	A	.036	A	-.036	-.194
181	S	A	.014	A	-.014	-.119
182	S	A	.056	A	-.056	-.244
183	S	A	.050	A	-.050	-.229
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920	S	A	.021	A	-.021	-.145
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925	S	A	.015	A	-.015	-.122
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929	S	A	.033	A	-.033	-.184
930	S	A	.019	A	-.019	-.141
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937	S	A	.036	A	-.036	-.195
938	S	P**	.054	A	.946	4.191
939	S	P**	.108	A	.892	2.868
940	S	P**	.110	A	.890	2.842
941	S	P**	.149	A	.851	2.390
942	S	P**	.077	A	.923	3.452
943	S	P**	.019	A	.981	7.206
944	S	P**	.114	A	.886	2.791
945	S	P**	.060	A	.940	3.944
946	S	P**	.156	A	.844	2.329
947	S	P**	.123	A	.877	2.676
948	S	P**	.028	A	.972	5.863
949	S	P**	.039	A	.961	4.991
950	S	P**	.036	A	.964	5.163
951	S	P**	.042	A	.958	4.778
952	S	P**	.077	A	.923	3.452
953	S	P**	.016	A	.984	7.865
954	S	P**	.242	A	.758	1.771
955	S	P**	.035	A	.965	5.213
956	S	P**	.042	A	.958	4.766
957	S	P**	.099	A	.901	3.013
958	S	P**	.059	A	.941	3.998
959	S	P**	.055	A	.945	4.142
960	S	P**	.384	A	.616	1.266
961	S	P**	.108	A	.892	2.868
962	S	P**	.104	A	.896	2.934
963	S	P**	.384	A	.616	1.267
964	S	P**	.020	A	.980	6.980
965	S	P**	.030	A	.970	5.673
966	S	P**	.017	A	.983	7.589
967	S	P**	.160	A	.840	2.293
968	S	P**	.030	A	.970	5.669
969	S	P**	.028	A	.972	5.937
970	S	P**	.103	A	.897	2.949
971	S	P**	.114	A	.886	2.790
972	S	P**	.019	A	.981	7.218
973	S	P**	.030	A	.970	5.669
974	S	P**	.039	A	.961	4.970
975	S	P**	.039	A	.961	4.964
976	S	P**	.086	A	.914	3.269
977	S	P**	.051	A	.949	4.299
978	S	P**	.062	A	.938	3.887
979	S	P**	.067	A	.933	3.721
980	S	P**	.050	A	.950	4.341
981	S	P**	.051	A	.949	4.329
982	S	P**	.442	A	.558	1.124
983	S	P**	.060	A	.940	3.951
984	S	P**	.045	A	.955	4.607
985	S	P**	.097	A	.903	3.049
a S = Selected, U = Unselected cases, and ** = Misclassified cases.

ROC Curve

**Notes**
Output Created		10-FEB-2003 14:04:19
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the analysis.
Syntax		ROC pre_1 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
Resources	Elapsed Time	0:00:00.05

**Case Processing Summary**
STATUS	Valid N (listwise)
Positive(a)	48
Negative	937
Larger values of the test result variable(s) indicate stronger evidence for a positive actual state.
a The positive actual state is Present.

**Area Under the Curve**
Test Result Variable(s): Predicted probability
Area
.700

Logistic Regression

**Notes**
Output Created		10-FEB-2003 14:05:02
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing
Syntax		LOGISTIC REGRESSION VAR=status /METHOD=FSTEP(LR) dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc nwet nnonfor nfor ndist /SAVE PRED /CLASSPLOT /CASEWISE /PRINT=GOODFIT SUMMARY /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Variables Created or Modified	PRE_2	Predicted probability
Resources	Elapsed Time	0:00:00.66

**Case Processing Summary**
Unweighted Cases(a)		N	Percent
Selected Cases	Included in Analysis	984	99.9
	Missing Cases	1	.1
	Total	985	100.0
Unselected Cases		0	.0
Total		985	100.0
a If weight is in effect, see classification table for the total number of cases.

**Dependent Variable Encoding**
Original Value	Internal Value
Absent	0
Present	1

Block 0: Beginning Block

**Classification Table(a,b)**
			Predicted
			STATUS		Percentage Correct
	Observed		Absent	Present	Percentage Correct
Step 0	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
a Constant is included in the model.
b The cut value is .500

**Variables in the Equation**
		B	S.E.	Wald	df	Sig.	Exp(B)
Step 0	Constant	-2.970	.148	402.862	1	.000	.051

**Variables not in the Equation(a)**
			Score	df	Sig.
Step 0	Variables	DIST_ROA	.437	1	.508
		DIST_WET	2.826	1	.093
		DIST_FOR	6.174	1	.013
		DIST_NON	.000	1	.995
		ELEVATIO	.531	1	.466
		ASPECT_T	1.073	1	.300
		SLOPE	.020	1	.887
		FOR_PERC	1.178	1	.278
		WET_PERC	7.134	1	.008
		NON_PERC	15.839	1	.000
		NWET	1.012	1	.315
		NNONFOR	2.542	1	.111
		NFOR	.010	1	.922
		NDIST	.079	1	.779
a Residual Chi-Squares are not computed because of redundancies.

Block 1: Method = Forward Stepwise (Likelihood Ratio)

**Omnibus Tests of Model Coefficients**
		Chi-square	df	Sig.
Step 1	Step	10.644	1	.001
	Block	10.644	1	.001
	Model	10.644	1	.001
Step 2	Step	5.788	1	.016
	Block	16.432	2	.000
	Model	16.432	2	.000
Step 3	Step	4.731	1	.030
	Block	21.163	3	.000
	Model	21.163	3	.000

**Model Summary**
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	372.936	.011	.033
2	367.148	.017	.051
3	362.417	.021	.066

**Hosmer and Lemeshow Test**
Step	Chi-square	df	Sig.
1	2.155	1	.142
2	3.398	5	.639
3	2.116	6	.909

**Contingency Table for Hosmer and Lemeshow Test**
		STATUS = Absent		STATUS = Present		Total
		Observed	Expected	Observed	Expected	Total
Step 1	1	752	755.154	35	31.846	787
	2	96	93.081	2	4.919	98
	3	88	87.765	11	11.235	99
Step 2	1	96	96.453	2	1.547	98
	2	96	95.924	2	2.076	98
	3	95	95.367	3	2.633	98
	4	90	89.041	3	3.959	93
	5	421	423.921	26	23.079	447
	6	95	91.106	3	6.894	98
	7	43	44.181	9	7.819	52
Step 3	1	96	96.465	2	1.535	98
	2	96	96.039	2	1.961	98
	3	96	95.474	2	2.526	98
	4	70	71.158	4	2.842	74
	5	305	303.937	13	14.063	318
	6	105	107.061	8	5.939	113
	7	91	91.211	7	6.789	98
	8	77	74.647	10	12.353	87

**Classification Table(a)**
			Predicted
			STATUS		Percentage Correct
	Observed		Absent	Present	Percentage Correct
Step 1	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
Step 2	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
Step 3	STATUS	Absent	936	0	100.0
	STATUS	Present	48	0	.0
	Overall Percentage				95.1
a The cut value is .500

**Variables in the Equation**
		B	S.E.	Wald	df	Sig.	Exp(B)
Step 1(a)	NON_PERC	2.277	.618	13.575	1	.000	9.743
Step 1(a)	Constant	-3.166	.168	355.505	1	.000	.042
Step 2(b)	WET_PERC	-1.397	.642	4.737	1	.030	.247
	NON_PERC	1.966	.629	9.781	1	.002	7.140
	Constant	-2.911	.188	238.830	1	.000	.054
Step 3(c)	DIST_FOR	.008	.003	5.571	1	.018	1.008
	WET_PERC	-1.634	.642	6.472	1	.011	.195
	NON_PERC	1.512	.655	5.323	1	.021	4.536
	Constant	-3.073	.209	217.036	1	.000	.046
a Variable(s) entered on step 1: NON_PERC.
b Variable(s) entered on step 2: WET_PERC.
c Variable(s) entered on step 3: DIST_FOR.

**Variables not in the Equation**
			Score	df	Sig.
Step 1	Variables	DIST_ROA	.071	1	.790
		DIST_WET	1.766	1	.184
		DIST_FOR	2.813	1	.093
		DIST_NON	2.420	1	.120
		ELEVATIO	.005	1	.942
		ASPECT_T	1.259	1	.262
		SLOPE	.161	1	.688
		FOR_PERC	.054	1	.816
		WET_PERC	5.047	1	.025
		NWET	.450	1	.502
		NNONFOR	.002	1	.964
		NFOR	1.270	1	.260
		NDIST	2.920	1	.087
	Overall Statistics		22.081	13	.054
Step 2	Variables	DIST_ROA	.054	1	.816
		DIST_WET	.001	1	.978
		DIST_FOR	5.842	1	.016
		DIST_NON	2.596	1	.107
		ELEVATIO	1.349	1	.246
		ASPECT_T	1.050	1	.306
		SLOPE	.100	1	.752
		FOR_PERC	3.319	1	.068
		NWET	1.307	1	.253
		NNONFOR	.003	1	.956
		NFOR	.006	1	.941
		NDIST	2.819	1	.093
	Overall Statistics		16.596	12	.165
Step 3	Variables	DIST_ROA	.042	1	.838
		DIST_WET	.056	1	.812
		DIST_NON	2.789	1	.095
		ELEVATIO	2.343	1	.126
		ASPECT_T	.876	1	.349
		SLOPE	.389	1	.533
		FOR_PERC	.040	1	.841
		NWET	2.558	1	.110
		NNONFOR	.696	1	.404
		NFOR	.023	1	.879
		NDIST	3.141	1	.076
	Overall Statistics		10.889	11	.453

**Step Summary(a,b)**
	Improvement			Model			Correct Class %	Variable
Step	Chi-square	df	Sig.	Chi-square	df	Sig.	Correct Class %	Variable
1	10.644	1	.001	10.644	1	.001	95.1%	IN: NON_PERC
2	5.788	1	.016	16.432	2	.000	95.1%	IN: WET_PERC
3	4.731	1	.030	21.163	3	.000	95.1%	IN: DIST_FOR
a No more variables can be deleted from or added to the current model.
b End block: 1

             Step number: 1

             Observed Groups and Predicted Probabilities

    1600 ô                                                            ô
         ó                                                            ó
         ó                                                            ó
F        ó                                                            ó
R   1200 ô                                                            ô
E        ó                                                            ó
Q        ó                                                            ó
U        ó                                                            ó
E    800 ô  A                                                         ô
N        ó  A                                                         ó
C        ó  A                                                         ó
Y        ó  A                                                         ó
     400 ô  A                                                         ô
         ó  A                                                         ó
         ó  A                                                         ó
         ó  A                                                         ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
  Prob:   0            .25            .5             .75             1
  Group:  AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

          Predicted Probability is of Membership for Present
          The Cut Value is .50
          Symbols: A - Absent
                   P - Present
          Each Symbol Represents 100 Cases.





             Step number: 2

             Observed Groups and Predicted Probabilities

     800 ô                                                            ô
         ó                                                            ó
         ó                                                            ó
F        ó                                                            ó
R    600 ô                                                            ô
E        ó                                                            ó
Q        ó   A                                                        ó
U        ó   A                                                        ó
E    400 ô   A                                                        ô
N        ó   A                                                        ó
C        ó   A                                                        ó
Y        ó A A                                                        ó
     200 ô A A                                                        ô
         ó A A                                                        ó
         ó A A                                                        ó
         óAAAAA                                                       ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
  Prob:   0            .25            .5             .75             1
  Group:  AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

          Predicted Probability is of Membership for Present
          The Cut Value is .50
          Symbols: A - Absent
                   P - Present
          Each Symbol Represents 50 Cases.





             Step number: 3

             Observed Groups and Predicted Probabilities

     800 ô                                                            ô
         ó                                                            ó
         ó                                                            ó
F        ó                                                            ó
R    600 ô                                                            ô
E        ó                                                            ó
Q        ó                                                            ó
U        ó                                                            ó
E    400 ô  A                                                         ô
N        ó  A                                                         ó
C        ó  A                                                         ó
Y        ó AA                                                         ó
     200 ô AA                                                         ô
         ó AA                                                         ó
         ó AAA                                                        ó
         óAAAAAP                                                      ó
Predicted òòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòôòòòòòòòòòòòòòòò
  Prob:   0            .25            .5             .75             1
  Group:  AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

          Predicted Probability is of Membership for Present
          The Cut Value is .50
          Symbols: A - Absent
                   P - Present
          Each Symbol Represents 50 Cases.

**Casewise List**
	Selected Status(a)	Observed	Predicted	Predicted Group	Temporary Variable
Case	Selected Status(a)	STATUS	Predicted	Predicted Group	Resid	ZResid
1	S	A	.027	A	-.027	-.166
2	S	A	.015	A	-.015	-.125
3	S	A	.043	A	-.043	-.212
4	S	A	.015	A	-.015	-.123
5	S	A	.017	A	-.017	-.132
6	S	A	.016	A	-.016	-.128
7	S	A	.044	A	-.044	-.215
8	S	A	.046	A	-.046	-.220
9	S	A	.044	A	-.044	-.215
10	S	A	.044	A	-.044	-.216
11	S	A	.041	A	-.041	-.208
12	S	A	.034	A	-.034	-.188
13	S	A	.044	A	-.044	-.215
14	S	A	.046	A	-.046	-.219
15	S	A	.044	A	-.044	-.215
16	S	A	.035	A	-.035	-.190
17	S	A	.031	A	-.031	-.180
18	S	A	.055	A	-.055	-.241
19	S	A	.055	A	-.055	-.241
20	S	A	.044	A	-.044	-.215
21	S	A	.044	A	-.044	-.215
22	S	A	.044	A	-.044	-.215
23	S	A	.044	A	-.044	-.215
24	S	A	.044	A	-.044	-.215
25	S	A	.044	A	-.044	-.215
26	S	A	.044	A	-.044	-.215
27	S	A	.044	A	-.044	-.215
28	S	A	.044	A	-.044	-.215
29	S	A	.044	A	-.044	-.215
30	S	A	.027	A	-.027	-.167
31	S	A	.019	A	-.019	-.138
32	S	A	.048	A	-.048	-.225
33	S	A	.092	A	-.092	-.318
34	S	A	.055	A	-.055	-.241
35	S	A	.055	A	-.055	-.241
36	S	A	.044	A	-.044	-.215
37	S	A	.044	A	-.044	-.215
38	S	A	.045	A	-.045	-.218
39	S	A	.060	A	-.060	-.253
40	S	A	.101	A	-.101	-.335
41	S	A	.060	A	-.060	-.253
42	S	A	.053	A	-.053	-.237
43	S	A	.039	A	-.039	-.201
44	S	A	.044	A	-.044	-.215
45	S	A	.113	A	-.113	-.357
46	S	A	.044	A	-.044	-.215
47	S	A	.044	A	-.044	-.215
48	S	A	.055	A	-.055	-.241
49	S	A	.044	A	-.044	-.215
50	S	A	.178	A	-.178	-.465
51	S	A	.044	A	-.044	-.215
52	S	A	.016	A	-.016	-.128
53	S	A	.044	A	-.044	-.215
54	S	A	.224	A	-.224	-.538
55	S	A	.055	A	-.055	-.241
56	S	A	.052	A	-.052	-.234
57	S	A	.044	A	-.044	-.215
58	S	A	.044	A	-.044	-.215
59	S	A	.055	A	-.055	-.241
60	S	A	.042	A	-.042	-.209
61	S	A	.055	A	-.055	-.241
62	S	A	.104	A	-.104	-.341
63	S	A	.055	A	-.055	-.241
64	S	A	.087	A	-.087	-.309
65	S	A	.044	A	-.044	-.215
66	S	A	.130	A	-.130	-.386
67	S	A	.042	A	-.042	-.209
68	S	A	.073	A	-.073	-.281
69	S	A	.044	A	-.044	-.215
70	S	A	.044	A	-.044	-.215
71	S	A	.055	A	-.055	-.241
72	S	A	.168	A	-.168	-.449
73	S	A	.145	A	-.145	-.412
74	S	A	.188	A	-.188	-.481
75	S	A	.044	A	-.044	-.215
76	S	A	.057	A	-.057	-.245
77	S	A	.044	A	-.044	-.215
78	S	A	.044	A	-.044	-.215
79	S	A	.044	A	-.044	-.215
80	S	A	.044	A	-.044	-.215
81	S	A	.044	A	-.044	-.215
82	S	A	.044	A	-.044	-.215
83	S	A	.044	A	-.044	-.215
84	S	A	.026	A	-.026	-.164
85	S	A	.023	A	-.023	-.154
86	S	A	.033	A	-.033	-.183
87	S	A	.157	A	-.157	-.431
88	S	A	.047	A	-.047	-.223
89	S	A	.044	A	-.044	-.215
90	S	A	.044	A	-.044	-.214
91	S	A	.044	A	-.044	-.215
92	S	A	.044	A	-.044	-.215
93	S	A	.044	A	-.044	-.215
94	S	A	.044	A	-.044	-.215
95	S	A	.044	A	-.044	-.215
96	S	A	.060	A	-.060	-.253
97	S	A	.014	A	-.014	-.117
98	S	A	.044	A	-.044	-.215
99	S	A	.044	A	-.044	-.215
100	S	A	.165	A	-.165	-.445
101	S	A	.068	A	-.068	-.271
102	S	A	.127	A	-.127	-.382
103	S	A	.044	A	-.044	-.215
104	S	A	.044	A	-.044	-.215
105	S	A	.096	A	-.096	-.325
106	S	A	.082	A	-.082	-.299
107	S	A	.044	A	-.044	-.215
108	S	A	.040	A	-.040	-.204
109	S	A	.044	A	-.044	-.215
110	S	A	.039	A	-.039	-.202
111	S	A	.021	A	-.021	-.148
112	S	A	.044	A	-.044	-.215
113	S	A	.044	A	-.044	-.215
114	S	A	.090	A	-.090	-.314
115	S	A	.072	A	-.072	-.278
116	S	A	.044	A	-.044	-.215
117	S	A	.044	A	-.044	-.215
118	S	A	.027	A	-.027	-.168
119	S	A	.044	A	-.044	-.215
120	S	A	.044	A	-.044	-.215
121	S	A	.044	A	-.044	-.215
122	S	A	.044	A	-.044	-.215
123	S	A	.022	A	-.022	-.149
124	S	A	.044	A	-.044	-.215
125	S	A	.044	A	-.044	-.215
126	S	A	.044	A	-.044	-.215
127	S	A	.044	A	-.044	-.215
128	S	A	.021	A	-.021	-.145
129	S	A	.044	A	-.044	-.215
130	S	A	.044	A	-.044	-.215
131	S	A	.044	A	-.044	-.215
132	S	A	.044	A	-.044	-.215
133	S	A	.044	A	-.044	-.215
134	S	A	.075	A	-.075	-.285
135	S	A	.119	A	-.119	-.367
136	S	A	.044	A	-.044	-.215
137	S	A	.044	A	-.044	-.215
138	S	A	.044	A	-.044	-.215
139	S	A	.044	A	-.044	-.215
140	S	A	.030	A	-.030	-.176
141	S	A	.046	A	-.046	-.220
142	S	A	.044	A	-.044	-.215
143	S	A	.024	A	-.024	-.158
144	S	A	.018	A	-.018	-.135
145	S	A	.022	A	-.022	-.150
146	S	A	.044	A	-.044	-.215
147	S	A	.015	A	-.015	-.124
148	S	A	.044	A	-.044	-.215
149	S	A	.044	A	-.044	-.215
150	S	A	.016	A	-.016	-.128
151	S	A	.016	A	-.016	-.126
152	S	A	.055	A	-.055	-.241
153	S	A	.020	A	-.020	-.143
154	S	A	.044	A	-.044	-.215
155	S	A	.127	A	-.127	-.381
156	S	A	.017	A	-.017	-.131
157	S	A	.044	A	-.044	-.215
158	S	A	.044	A	-.044	-.215
159	S	A	.044	A	-.044	-.215
160	S	A	.044	A	-.044	-.215
161	S	A	.082	A	-.082	-.299
162	S	A	.044	A	-.044	-.215
163	S	A	.044	A	-.044	-.215
164	S	A	.044	A	-.044	-.215
165	S	A	.044	A	-.044	-.215
166	S	A	.024	A	-.024	-.156
167	S	A	.044	A	-.044	-.215
168	S	A	.044	A	-.044	-.215
169	S	A	.071	A	-.071	-.277
170	S	A	.044	A	-.044	-.215
171	S	A	.018	A	-.018	-.136
172	S	A	.021	A	-.021	-.147
173	S	A	.020	A	-.020	-.145
174	S	A	.114	A	-.114	-.358
175	S	A	.044	A	-.044	-.215
176	S	A	.044	A	-.044	-.215
177	S	A	.021	A	-.021	-.148
178	S	A	.044	A	-.044	-.215
179	S	A	.044	A	-.044	-.215
180	S	A	.021	A	-.021	-.147
181	S	A	.016	A	-.016	-.129
182	S	A	.081	A	-.081	-.297
183	S	A	.044	A	-.044	-.215
184	S	A	.044	A	-.044	-.215
185	S	A	.044	A	-.044	-.215
186	S	A	.044	A	-.044	-.215
187	S	A	.055	A	-.055	-.241
188	S	A	.044	A	-.044	-.215
189	S	A	.049	A	-.049	-.226
190	S	A	.049	A	-.049	-.226
191	S	A	.044	A	-.044	-.215
192	S	A	.044	A	-.044	-.215
193	S	A	.044	A	-.044	-.215
194	S	A	.051	A	-.051	-.231
195	S	A	.044	A	-.044	-.215
196	S	A	.044	A	-.044	-.215
197	S	A	.044	A	-.044	-.215
198	S	A	.044	A	-.044	-.215
199	S	A	.044	A	-.044	-.215
200	S	A	.044	A	-.044	-.215
201	S	A	.044	A	-.044	-.215
202	S	A	.044	A	-.044	-.215
203	S	A	.044	A	-.044	-.215
204	S	A	.044	A	-.044	-.215
205	S	A	.044	A	-.044	-.215
206	S	A	.019	A	-.019	-.138
207	S	A	.044	A	-.044	-.215
208	S	A	.055	A	-.055	-.241
209	S	A	.067	A	-.067	-.267
210	S	A	.055	A	-.055	-.241
211	S	A	.096	A	-.096	-.325
212	S	A	.044	A	-.044	-.215
213	S	A	.044	A	-.044	-.215
214	S	A	.055	A	-.055	-.241
215	S	A	.030	A	-.030	-.175
216	S	A	.055	A	-.055	-.241
217	S	A	.030	A	-.030	-.176
218	S	A	.019	A	-.019	-.140
219	S	A	.026	A	-.026	-.164
220	S	A	.027	A	-.027	-.167
221	S	A	.021	A	-.021	-.148
222	S	A	.060	A	-.060	-.252
223	S	A	.044	A	-.044	-.215
224	S	A	.072	A	-.072	-.278
225	S	A	.055	A	-.055	-.241
226	S	A	.044	A	-.044	-.215
227	S	A	.044	A	-.044	-.215
228	S	A	.182	A	-.182	-.471
229	S	A	.044	A	-.044	-.215
230	S	A	.044	A	-.044	-.215
231	S	A	.044	A	-.044	-.215
232	S	A	.069	A	-.069	-.272
233	S	A	.044	A	-.044	-.215
234	S	A	.044	A	-.044	-.215
235	S	A	.044	A	-.044	-.215
236	S	A	.044	A	-.044	-.215
237	S	A	.044	A	-.044	-.215
238	S	A	.022	A	-.022	-.151
239	S	A	.022	A	-.022	-.150
240	S	A	.044	A	-.044	-.215
241	S	A	.075	A	-.075	-.285
242	S	A	.033	A	-.033	-.184
243	S	A	.044	A	-.044	-.215
244	S	A	.025	A	-.025	-.161
245	S	A	.097	A	-.097	-.328
246	S	A	.055	A	-.055	-.241
247	S	A	.044	A	-.044	-.215
248	S	A	.119	A	-.119	-.367
249	S	A	.044	A	-.044	-.215
250	S	A	.044	A	-.044	-.215
251	S	A	.015	A	-.015	-.124
252	S	A	.044	A	-.044	-.215
253	S	A	.139	A	-.139	-.401
254	S	A	.111	A	-.111	-.353
255	S	A	.055	A	-.055	-.241
256	S	A	.107	A	-.107	-.346
257	S	A	.044	A	-.044	-.215
258	S	A	.071	A	-.071	-.277
259	S	A	.044	A	-.044	-.215
260	S	A	.090	A	-.090	-.314
261	S	A	.044	A	-.044	-.215
262	S	A	.044	A	-.044	-.215
263	S	A	.137	A	-.137	-.399
264	S	A	.239	A	-.239	-.561
265	S	A	.051	A	-.051	-.231
266	S	A	.023	A	-.023	-.155
267	S	A	.044	A	-.044	-.215
268	S	A	.044	A	-.044	-.215
269	S	A	.044	A	-.044	-.215
270	S	A	.055	A	-.055	-.241
271	S	A	.109	A	-.109	-.349
272	S	A	.045	A	-.045	-.217
273	S	A	.044	A	-.044	-.215
274	S	A	.044	A	-.044	-.215
275	S	A	.055	A	-.055	-.241
276	S	A	.044	A	-.044	-.215
277	S	A	.118	A	-.118	-.366
278	S	A	.044	A	-.044	-.215
279	S	A	.044	A	-.044	-.215
280	S	A	.044	A	-.044	-.215
281	S	A	.109	A	-.109	-.350
282	S	A	.057	A	-.057	-.245
283	S	A	.055	A	-.055	-.241
284	S	A	.044	A	-.044	-.215
285	S	A	.055	A	-.055	-.241
286	S	A	.044	A	-.044	-.215
287	S	A	.044	A	-.044	-.215
288	S	A	.060	A	-.060	-.253
289	S	A	.044	A	-.044	-.215
290	S	A	.044	A	-.044	-.215
291	S	A	.044	A	-.044	-.215
292	S	A	.055	A	-.055	-.241
293	S	A	.226	A	-.226	-.540
294	S	A	.096	A	-.096	-.325
295	S	A	.044	A	-.044	-.215
296	S	A	.055	A	-.055	-.241
297	S	A	.055	A	-.055	-.241
298	S	A	.044	A	-.044	-.215
299	S	A	.036	A	-.036	-.193
300	S	A	.044	A	-.044	-.215
301	S	A	.114	A	-.114	-.359
302	S	A	.044	A	-.044	-.215
303	S	A	.044	A	-.044	-.215
304	S	A	.044	A	-.044	-.215
305	S	A	.055	A	-.055	-.241
306	S	A	.044	A	-.044	-.215
307	S	A	.082	A	-.082	-.299
308	S	A	.055	A	-.055	-.241
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760	S	A	.022	A	-.022	-.149
761	S	A	.044	A	-.044	-.215
762	S	A	.055	A	-.055	-.241
763	S	A	.044	A	-.044	-.215
764	S	A	.044	A	-.044	-.215
765	S	A	.044	A	-.044	-.214
766	S	A	.066	A	-.066	-.267
767	S	A	.032	A	-.032	-.182
768	S	A	.023	A	-.023	-.152
769	S	A	.068	A	-.068	-.271
770	S	A	.044	A	-.044	-.215
771	S	A	.040	A	-.040	-.204
772	S	A	.055	A	-.055	-.241
773	S	A	.072	A	-.072	-.278
774	S	A	.024	A	-.024	-.157
775	S	A	.044	A	-.044	-.215
776	S	A	.044	A	-.044	-.215
777	S	A	.105	A	-.105	-.342
778	S	A	.070	A	-.070	-.274
779	S	A	.060	A	-.060	-.253
780	S	A	.055	A	-.055	-.241
781	S	A	.044	A	-.044	-.215
782	S	A	.074	A	-.074	-.283
783	S	A	.062	A	-.062	-.257
784	S	A	.060	A	-.060	-.253
785	S	A	.044	A	-.044	-.215
786	S	A	.044	A	-.044	-.215
787	S	A	.044	A	-.044	-.215
788	S	A	.052	A	-.052	-.234
789	S	A	.044	A	-.044	-.215
790	S	A	.023	A	-.023	-.153
791	S	A	.249	A	-.249	-.575
792	S	A	.044	A	-.044	-.215
793	S	A	.028	A	-.028	-.170
794	S	A	.044	A	-.044	-.215
795	S	A	.044	A	-.044	-.215
796	S	A	.055	A	-.055	-.240
797	S	A	.021	A	-.021	-.147
798	S	A	.030	A	-.030	-.175
799	S	A	.102	A	-.102	-.338
800	S	A	.145	A	-.145	-.412
801	S	A	.023	A	-.023	-.153
802	S	A	.016	A	-.016	-.126
803	S	A	.044	A	-.044	-.215
804	S	A	.019	A	-.019	-.138
805	S	A	.044	A	-.044	-.215
806	S	A	.021	A	-.021	-.148
807	S	A	.046	A	-.046	-.220
808	S	A	.026	A	-.026	-.163
809	S	A	.018	A	-.018	-.134
810	S	A	.044	A	-.044	-.215
811	S	A	.062	A	-.062	-.257
812	S	A	.049	A	-.049	-.227
813	S	A	.052	A	-.052	-.235
814	S	A	.039	A	-.039	-.200
815	S	A	.021	A	-.021	-.147
816	S	A	.064	A	-.064	-.261
817	S	A	.017	A	-.017	-.133
818	S	A	.019	A	-.019	-.141
819	S	A	.040	A	-.040	-.204
820	S	A	.020	A	-.020	-.144
821	S	A	.064	A	-.064	-.261
822	S	A	.017	A	-.017	-.130
823	S	A	.055	A	-.055	-.241
824	S	A	.033	A	-.033	-.184
825	S	A	.021	A	-.021	-.146
826	S	A	.048	A	-.048	-.224
827	S	A	.041	A	-.041	-.206
828	S	A	.045	A	-.045	-.218
829	S	A	.018	A	-.018	-.136
830	S	A	.028	A	-.028	-.170
831	S	A	.015	A	-.015	-.125
832	S	A	.020	A	-.020	-.143
833	S	A	.015	A	-.015	-.123
834	S	A	.016	A	-.016	-.127
835	S	A	.039	A	-.039	-.202
836	S	A	.015	A	-.015	-.124
837	S	A	.015	A	-.015	-.124
838	S	A	.022	A	-.022	-.148
839	S	A	.024	A	-.024	-.157
840	S	A	.014	A	-.014	-.120
841	S	A	.012	A	-.012	-.112
842	S	A	.016	A	-.016	-.128
843	S	A	.015	A	-.015	-.123
844	S	A	.013	A	-.013	-.116
845	S	A	.014	A	-.014	-.119
846	S	A	.017	A	-.017	-.132
847	S	A	.015	A	-.015	-.122
848	S	A	.019	A	-.019	-.139
849	S	A	.018	A	-.018	-.134
850	S	A	.014	A	-.014	-.121
851	S	A	.012	A	-.012	-.112
852	S	A	.044	A	-.044	-.215
853	S	A	.050	A	-.050	-.229
854	S	A	.044	A	-.044	-.215
855	S	A	.044	A	-.044	-.215
856	S	A	.032	A	-.032	-.182
857	S	A	.049	A	-.049	-.226
858	S	A	.068	A	-.068	-.271
859	S	A	.023	A	-.023	-.155
860	S	A	.118	A	-.118	-.367
861	S	A	.033	A	-.033	-.184
862	S	A	.032	A	-.032	-.181
863	S	A	.044	A	-.044	-.215
864	S	A	.023	A	-.023	-.154
865	S	A	.151	A	-.151	-.422
866	S	A	.016	A	-.016	-.127
867	S	A	.040	A	-.040	-.205
868	S	A	.044	A	-.044	-.215
869	S	A	.015	A	-.015	-.121
870	S	A	.031	A	-.031	-.179
871	S	A	.034	A	-.034	-.187
872	S	A	.021	A	-.021	-.146
873	S	A	.044	A	-.044	-.215
874	S	A	.044	A	-.044	-.215
875	S	A	.044	A	-.044	-.215
876	S	A	.043	A	-.043	-.212
877	S	A	.043	A	-.043	-.212
878	S	A	.044	A	-.044	-.213
879	S	A	.043	A	-.043	-.213
880	S	A	.043	A	-.043	-.212
881	S	A	.020	A	-.020	-.143
882	S	A	.018	A	-.018	-.135
883	S	A	.019	A	-.019	-.138
884	S	A	.024	A	-.024	-.157
885	S	A	.020	A	-.020	-.141
886	S	A	.025	A	-.025	-.159
887	S	A	.022	A	-.022	-.149
888	S	A	.022	A	-.022	-.150
889	S	A	.024	A	-.024	-.156
890	S	A	.022	A	-.022	-.151
891	S	A	.022	A	-.022	-.152
892	S	A	.021	A	-.021	-.145
893	S	A	.021	A	-.021	-.147
894	S	A	.022	A	-.022	-.148
895	S	A	.021	A	-.021	-.147
896	S	A	.022	A	-.022	-.149
897	S	A	.020	A	-.020	-.142
898	S	A	.019	A	-.019	-.140
899	S	A	.019	A	-.019	-.140
900	S	A	.019	A	-.019	-.140
901	S	A	.037	A	-.037	-.197
902	S	A	.026	A	-.026	-.165
903	S	A	.023	A	-.023	-.154
904	S	A	.023	A	-.023	-.153
905	S	A	.022	A	-.022	-.149
906	S	A	.021	A	-.021	-.148
907	S	A	.072	A	-.072	-.279
908	S	A	.055	A	-.055	-.241
909	S	A	.048	A	-.048	-.223
910	S	A	.041	A	-.041	-.206
911	S	A	.033	A	-.033	-.184
912	S	A	.024	A	-.024	-.157
913	S	A	.055	A	-.055	-.242
914	S	A	.042	A	-.042	-.208
915	S	A	.044	A	-.044	-.215
916	S	A	.044	A	-.044	-.215
917	S	A	.044	A	-.044	-.215
918	S	A	.042	A	-.042	-.211
919	S	A	.043	A	-.043	-.212
920	S	A	.043	A	-.043	-.213
921	S	A	.018	A	-.018	-.135
922	S	A	.020	A	-.020	-.142
923	S	A	.020	A	-.020	-.142
924	S	A	.023	A	-.023	-.152
925	S	A	.020	A	-.020	-.145
926	S	A	.020	A	-.020	-.144
927	S	A	.020	A	-.020	-.142
928	S	A	.019	A	-.019	-.140
929	S	A	.042	A	-.042	-.209
930	S	A	.023	A	-.023	-.154
931	S	A	.021	A	-.021	-.148
932	S	A	.032	A	-.032	-.183
933	S	A	.023	A	-.023	-.154
934	S	A	.021	A	-.021	-.147
935	S	A	.062	A	-.062	-.257
936	S	A	.046	A	-.046	-.220
937	S	A	.058	A	-.058	-.248
938	S	P**	.044	A	.956	4.649
939	S	P**	.044	A	.956	4.649
940	S	P**	.154	A	.846	2.340
941	S	P**	.036	A	.964	5.209
942	S	P**	.042	A	.958	4.782
943	S	P**	.060	A	.940	3.958
944	S	P**	.173	A	.827	2.183
945	S	P**	.026	A	.974	6.080
946	S	P**	.108	A	.892	2.868
947	S	P**	.055	A	.945	4.145
948	S	P**	.044	A	.956	4.649
949	S	P**	.055	A	.945	4.145
950	S	P**	.044	A	.956	4.649
951	S	P**	.044	A	.956	4.649
952	S	P**	.044	A	.956	4.649
953	S	P**	.044	A	.956	4.649
954	S	P**	.208	A	.792	1.954
955	S	P**	.039	A	.961	4.975
956	S	P**	.044	A	.956	4.649
957	S	P**	.055	A	.945	4.145
958	S	P**	.081	A	.919	3.358
959	S	P**	.077	A	.923	3.462
960	S	P**	.295	A	.705	1.547
961	S	P**	.055	A	.945	4.145
962	S	P**	.068	A	.932	3.695
963	S	P**	.295	A	.705	1.547
964	S	P**	.056	A	.944	4.102
965	S	P**	.044	A	.956	4.649
966	S	P**	.027	A	.973	6.003
967	S	P**	.106	A	.894	2.899
968	S	P**	.044	A	.956	4.649
969	S	P**	.014	A	.986	8.451
970	S	P**	.321	A	.679	1.453
971	S	P**	.055	A	.945	4.145
972	S	P**	.055	A	.945	4.145
973	S	P**	.044	A	.956	4.649
974	S	P**	.078	A	.922	3.427
975	S	P**	.084	A	.916	3.294
976	S	P**	.015	A	.985	8.219
977	S	P**	.021	A	.979	6.808
978	S	P**	.055	A	.945	4.145
979	S	P**	.127	A	.873	2.618
980	S	P**	.055	A	.945	4.145
981	S	P**	.044	A	.956	4.649
982	S	P**	.295	A	.705	1.547
983	S	P**	.020	A	.980	6.926
984	S	P**	.044	A	.956	4.649
985	S	P**	.033	A	.967	5.411
a S = Selected, U = Unselected cases, and ** = Misclassified cases.

ROC Curve

**Notes**
Output Created		10-FEB-2003 14:05:36
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the analysis.
Syntax		ROC pre_2 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
Resources	Elapsed Time	0:00:00.11

**Case Processing Summary**
STATUS	Valid N (listwise)
Positive(a)	48
Negative	937
Larger values of the test result variable(s) indicate stronger evidence for a positive actual state.
a The positive actual state is Present.

**Area Under the Curve**
Test Result Variable(s): Predicted probability
Area
.659
The test result variable(s): Predicted probability has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased.

Discriminant

**Notes**
Output Created		10-FEB-2003 14:06:31
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing in the analysis phase.
Missing Value Handling	Cases Used	In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded.
Syntax		DISCRIMINANT /GROUPS=status_n(0 1) /VARIABLES=dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc so_dist rv_dist rclam_di rcat_dis pc_dist nv_dist ns_dist hc_dist bf_dist am_dist ac_dist nwet nnonfor nfor ndist /ANALYSIS ALL /SAVE=SCORES PROBS /METHOD=WILKS /PIN= .05 /POUT= .10 /PRIORS EQUAL /HISTORY /STATISTICS=MEAN STDDEV UNIVF TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED .
Variables Created or Modified	DIS1_1	Discriminant Scores from Function 1 for Analysis 1
	DIS1_2	Probabilities of Membership in Group 0 for Analysis 1
	DIS2_2	Probabilities of Membership in Group 1 for Analysis 1
Number of unweighted cases written to the working file after classification		985
Resources	Elapsed Time	0:00:00.28

**Analysis Case Processing Summary**
Unweighted Cases		N	Percent
Valid		984	99.9
Excluded	Missing or out-of-range group codes	0	.0
	At least one missing discriminating variable	1	.1
	Both missing or out-of-range group codes and at least one missing discriminating variable	0	.0
	Total	1	.1
Total		985	100.0

**Group Statistics**
		Mean	Std. Deviation	Valid N (listwise)
STATUS_N		Mean	Std. Deviation	Unweighted	Weighted
0	Dist_Road	69.957265	107.8637103	936	936.000
	DIST_WET	160.115385	185.6051687	936	936.000
	DIST_FOR	26.612179	35.4573212	936	936.000
	Dist_NonFo	373.870726	325.5162405	936	936.000
	Elevation	53.239316	14.1483505	936	936.000
	Aspect_Transf	.031706	.6427354	936	936.000
	SLOPE	3.598814	2.2688417	936	936.000
	%For	.523285	.3751713	936	936.000
	%Wet	.234579	.3252424	936	936.000
	%NonFor	.050186	.1392396	936	936.000
	SO_DIST	1565.705128	1372.3528243	936	936.000
	RV_DIST	1431.811966	1305.8028018	936	936.000
	RCLAM_Dist	410.287393	453.3936629	936	936.000
	RCAT_Dist	735.059829	685.4788487	936	936.000
	PC_DIST	1029.120726	846.5557557	936	936.000
	NV_DIST	471.657051	466.2392915	936	936.000
	NS_DIST	1597.770299	1393.4224560	936	936.000
	HC_DIST	356.215812	364.0026538	936	936.000
	BF_DIST	898.158120	726.2521126	936	936.000
	AM_DIST	418.829060	525.3374842	936	936.000
	AC_DIST	453.767094	517.5241442	936	936.000
	NWET	.156293	.2148190	936	936.000
	NNONFOR	.028643	.0813376	936	936.000
	NFOR	.722650	.2622413	936	936.000
	NDIST	.051731	.1067337	936	936.000
1	Dist_Road	59.479167	91.7927799	48	48.000
	DIST_WET	205.916667	148.8620428	48	48.000
	DIST_FOR	39.854167	44.3779654	48	48.000
	Dist_NonFo	374.166667	329.0453848	48	48.000
	Elevation	54.770833	15.4537602	48	48.000
	Aspect_Transf	-.067183	.6971576	48	48.000
	SLOPE	3.551042	2.1929745	48	48.000
	%For	.462857	.4005100	48	48.000
	%Wet	.107051	.2425872	48	48.000
	%NonFor	.139101	.2894181	48	48.000
	SO_DIST	2055.395833	1520.5287678	48	48.000
	RV_DIST	1776.104167	1217.9694165	48	48.000
	RCLAM_Dist	510.479167	345.9311203	48	48.000
	RCAT_Dist	976.979167	769.9461570	48	48.000
	PC_DIST	915.020833	707.1666116	48	48.000
	NV_DIST	542.687500	401.1888268	48	48.000
	NS_DIST	1991.020833	1353.5634371	48	48.000
	HC_DIST	552.729167	409.8413154	48	48.000
	BF_DIST	1061.125000	703.1952190	48	48.000
	AM_DIST	522.645833	486.7177735	48	48.000
	AC_DIST	663.979167	479.6254962	48	48.000
	NWET	.124375	.2089070	48	48.000
	NNONFOR	.048542	.1299753	48	48.000
	NFOR	.726458	.2893903	48	48.000
	NDIST	.047292	.1113694	48	48.000
Total	Dist_Road	69.446138	107.1187585	984	984.000
	DIST_WET	162.349593	184.1849101	984	984.000
	DIST_FOR	27.258130	36.0296932	984	984.000
	Dist_NonFo	373.885163	325.5203269	984	984.000
	Elevation	53.314024	14.2101638	984	984.000
	Aspect_Transf	.026882	.6454682	984	984.000
	SLOPE	3.596484	2.2641393	984	984.000
	%For	.520338	.3764567	984	984.000
	%Wet	.228358	.3227791	984	984.000
	%NonFor	.054524	.1510401	984	984.000
	SO_DIST	1589.592480	1383.1376304	984	984.000
	RV_DIST	1448.606707	1303.1858813	984	984.000
	RCLAM_Dist	415.174797	449.1279965	984	984.000
	RCAT_Dist	746.860772	691.3751007	984	984.000
	PC_DIST	1023.554878	840.3436062	984	984.000
	NV_DIST	475.121951	463.3512379	984	984.000
	NS_DIST	1616.953252	1393.4126553	984	984.000
	HC_DIST	365.801829	368.5822420	984	984.000
	BF_DIST	906.107724	725.6468168	984	984.000
	AM_DIST	423.893293	523.7657466	984	984.000
	AC_DIST	464.021341	517.4982159	984	984.000
	NWET	.154736	.2145409	984	984.000
	NNONFOR	.029614	.0843734	984	984.000
	NFOR	.722835	.2634716	984	984.000
	NDIST	.051514	.1069100	984	984.000

**Tests of Equality of Group Means**
	Wilks' Lambda	F	df1	df2	Sig.
Dist_Road	1.000	.437	1	982	.509
DIST_WET	.997	2.829	1	982	.093
DIST_FOR	.994	6.200	1	982	.013
Dist_NonFo	1.000	.000	1	982	.995
Elevation	.999	.530	1	982	.467
Aspect_Transf	.999	1.072	1	982	.301
SLOPE	1.000	.020	1	982	.887
%For	.999	1.177	1	982	.278
%Wet	.993	7.172	1	982	.008
%NonFor	.984	16.065	1	982	.000
SO_DIST	.994	5.751	1	982	.017
RV_DIST	.997	3.194	1	982	.074
RCLAM_Dist	.998	2.275	1	982	.132
RCAT_Dist	.994	5.617	1	982	.018
PC_DIST	.999	.842	1	982	.359
NV_DIST	.999	1.073	1	982	.301
NS_DIST	.996	3.646	1	982	.056
HC_DIST	.987	13.139	1	982	.000
BF_DIST	.998	2.306	1	982	.129
AM_DIST	.998	1.795	1	982	.181
AC_DIST	.992	7.584	1	982	.006
NWET	.999	1.011	1	982	.315
NNONFOR	.997	2.544	1	982	.111
NFOR	1.000	.010	1	982	.922
NDIST	1.000	.079	1	982	.779

Analysis 1

Stepwise Statistics

**Variables Entered/Removed(a,b,c,d)**
	Entered	Wilks' Lambda
		Statistic	df1	df2	df3	Exact F
Step		Statistic	df1	df2	df3	Statistic	df1	df2	Sig.
1	%NonFor	.984	1	1	982.000	16.065	1	982.000	.000
2	HC_DIST	.972	2	1	982.000	14.280	2	981.000	.000
3	SO_DIST	.964	3	1	982.000	12.134	3	980.000	.000
At each step, the variable that minimizes the overall Wilks' Lambda is entered.
a Maximum number of steps is 50.
b Maximum significance of F to enter is .05.
c Minimum significance of F to remove is .10.
d F level, tolerance, or VIN insufficient for further computation.

**Variables in the Analysis**
Step		Tolerance	Sig. of F to Remove	Wilks' Lambda
1	%NonFor	1.000	.000
2	%NonFor	1.000	.000	.987
2	HC_DIST	1.000	.000	.984
3	%NonFor	.996	.000	.980
	HC_DIST	.998	.000	.977
	SO_DIST	.994	.006	.972

**Variables Not in the Analysis**
Step		Tolerance	Min. Tolerance	Sig. of F to Enter	Wilks' Lambda
0	Dist_Road	1.000	1.000	.509	1.000
	DIST_WET	1.000	1.000	.093	.997
	DIST_FOR	1.000	1.000	.013	.994
	Dist_NonFo	1.000	1.000	.995	1.000
	Elevation	1.000	1.000	.467	.999
	Aspect_Transf	1.000	1.000	.301	.999
	SLOPE	1.000	1.000	.887	1.000
	%For	1.000	1.000	.278	.999
	%Wet	1.000	1.000	.008	.993
	%NonFor	1.000	1.000	.000	.984
	SO_DIST	1.000	1.000	.017	.994
	RV_DIST	1.000	1.000	.074	.997
	RCLAM_Dist	1.000	1.000	.132	.998
	RCAT_Dist	1.000	1.000	.018	.994
	PC_DIST	1.000	1.000	.359	.999
	NV_DIST	1.000	1.000	.301	.999
	NS_DIST	1.000	1.000	.056	.996
	HC_DIST	1.000	1.000	.000	.987
	BF_DIST	1.000	1.000	.129	.998
	AM_DIST	1.000	1.000	.181	.998
	AC_DIST	1.000	1.000	.006	.992
	NWET	1.000	1.000	.315	.999
	NNONFOR	1.000	1.000	.111	.997
	NFOR	1.000	1.000	.922	1.000
	NDIST	1.000	1.000	.779	1.000
1	Dist_Road	.983	.983	.893	.984
	DIST_WET	.992	.992	.189	.982
	DIST_FOR	.963	.963	.083	.981
	Dist_NonFo	.840	.840	.082	.981
	Elevation	.956	.956	.911	.984
	Aspect_Transf	1.000	1.000	.266	.983
	SLOPE	.977	.977	.639	.984
	%For	.955	.955	.809	.984
	%Wet	.977	.977	.038	.980
	SO_DIST	.996	.996	.008	.977
	RV_DIST	.989	.989	.027	.979
	RCLAM_Dist	.997	.997	.197	.982
	RCAT_Dist	.995	.995	.008	.977
	PC_DIST	.985	.985	.162	.982
	NV_DIST	1.000	1.000	.323	.983
	NS_DIST	.984	.984	.016	.978
	HC_DIST	1.000	1.000	.000	.972
	BF_DIST	.997	.997	.088	.981
	AM_DIST	1.000	1.000	.194	.982
	AC_DIST	.999	.999	.004	.976
	NWET	.994	.994	.496	.983
	NNONFOR	.845	.845	.985	.984
	NFOR	.932	.932	.239	.983
	NDIST	.852	.852	.050	.980
2	Dist_Road	.968	.968	.577	.971
	DIST_WET	.989	.989	.131	.969
	DIST_FOR	.963	.962	.082	.969
	Dist_NonFo	.835	.835	.145	.970
	Elevation	.947	.947	.822	.972
	Aspect_Transf	.999	.999	.241	.970
	SLOPE	.977	.976	.629	.971
	%For	.951	.951	.627	.971
	%Wet	.977	.976	.040	.968
	SO_DIST	.994	.994	.006	.964
	RV_DIST	.974	.974	.073	.969
	RCLAM_Dist	.943	.943	.631	.971
	RCAT_Dist	.967	.967	.038	.967
	PC_DIST	.978	.978	.092	.969
	NV_DIST	.937	.936	.914	.972
	NS_DIST	.956	.956	.068	.968
	BF_DIST	.945	.945	.355	.971
	AM_DIST	.970	.969	.486	.971
	AC_DIST	.952	.952	.032	.967
	NWET	.993	.993	.440	.971
	NNONFOR	.845	.845	.991	.972
	NFOR	.932	.931	.251	.970
	NDIST	.852	.851	.058	.968
3	Dist_Road	.968	.968	.569	.964
	DIST_WET	.933	.933	.382	.963
	DIST_FOR	.962	.959	.067	.961
	Dist_NonFo	.832	.832	.194	.963
	Elevation	.895	.895	.371	.963
	Aspect_Transf	.999	.994	.240	.963
	SLOPE	.976	.973	.671	.964
	%For	.941	.941	.440	.964
	%Wet	.935	.935	.131	.962
	RV_DIST	.782	.782	.530	.964
	RCLAM_Dist	.922	.922	.944	.964
	RCAT_Dist	.599	.599	.637	.964
	PC_DIST	.953	.953	.212	.963
	NV_DIST	.909	.909	.714	.964
	NS_DIST	.754	.754	.533	.964
	BF_DIST	.851	.851	.959	.964
	AM_DIST	.966	.966	.385	.963
	AC_DIST	.905	.905	.118	.962
	NWET	.949	.949	.843	.964
	NNONFOR	.842	.842	.881	.964
	NFOR	.827	.827	.815	.964
	NDIST	.820	.820	.165	.962

**Wilks' Lambda**
	Number of Variables	Lambda	df1	df2	df3	Exact F
Step	Number of Variables	Lambda	df1	df2	df3	Statistic	df1	df2	Sig.
1	1	.984	1	1	982	16.065	1	982.000	.000
2	2	.972	2	1	982	14.280	2	981.000	.000
3	3	.964	3	1	982	12.134	3	980.000	.000

Summary of Canonical Discriminant Functions

**Eigenvalues**
Function	Eigenvalue	% of Variance	Cumulative %	Canonical Correlation
1	.037(a)	100.0	100.0	.189
a First 1 canonical discriminant functions were used in the analysis.

**Wilks' Lambda**
Test of Function(s)	Wilks' Lambda	Chi-square	df	Sig.
1	.964	35.762	3	.000

**Standardized Canonical Discriminant Function Coefficients**
	Function
	1
%NonFor	.681
SO_DIST	.466
HC_DIST	.605

**Structure Matrix**
	Function
	1
%NonFor	.664
HC_DIST	.600
SO_DIST	.397
RCAT_Dist(a)	.331
BF_DIST(a)	.243
NNONFOR(a)	.241
RCLAM_Dist(a)	.238
NV_DIST(a)	.231
NS_DIST(a)	.225
AC_DIST(a)	.205
RV_DIST(a)	.202
Dist_NonFo(a)	-.199
%Wet(a)	-.197
NDIST(a)	.166
DIST_WET(a)	.136
NWET(a)	-.134
DIST_FOR(a)	.109
SLOPE(a)	-.095
AM_DIST(a)	.078
PC_DIST(a)	.054
%For(a)	-.053
Aspect_Transf(a)	.027
Elevation(a)	-.023
NFOR(a)	-.020
Dist_Road(a)	-.015
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function.
a This variable not used in the analysis.

**Functions at Group Centroids**
	Function
STATUS_N	1
0	-4.360E-02
1	.850
Unstandardized canonical discriminant functions evaluated at group means

Classification Statistics

**Classification Processing Summary**
Processed		985
Excluded	Missing or out-of-range group codes	0
Excluded	At least one missing discriminating variable	0
Used in Output		985

**Prior Probabilities for Groups**
	Prior	Cases Used in Analysis
STATUS_N	Prior	Unweighted	Weighted
0	.500	936	936.000
1	.500	48	48.000
Total	1.000	984	984.000

**Classification Results(b,c)**
			Predicted Group Membership		Total
	STATUS_N	0	1		Total
Original	Count	0	679	258	937
	Count	1	22	26	48
	%	0	72.5	27.5	100.0
	%	1	45.8	54.2	100.0
Cross-validated(a)	Count	0	679	258	937
	Count	1	24	24	48
	%	0	72.5	27.5	100.0
	%	1	50.0	50.0	100.0
a Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case.
b 71.6% of original grouped cases correctly classified.
c 71.4% of cross-validated grouped cases correctly classified.

ROC Curve

**Notes**
Output Created		10-FEB-2003 14:07:08
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the analysis.
Syntax		ROC dis1_1 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
Resources	Elapsed Time	0:00:00.05

**Case Processing Summary**
STATUS	Valid N (listwise)
Positive(a)	48
Negative	937
Larger values of the test result variable(s) indicate stronger evidence for a positive actual state.
a The positive actual state is Present.

**Area Under the Curve**
Test Result Variable(s): Discriminant Scores from Function 1 for Analysis 1
Area
.693

Discriminant

**Notes**
Output Created		10-FEB-2003 14:07:35
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing in the analysis phase.
Missing Value Handling	Cases Used	In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded.
Syntax		DISCRIMINANT /GROUPS=status_n(0 1) /VARIABLES=dist_roa dist_wet dist_for dist_non elevatio aspect_t slope for_perc wet_perc non_perc nwet nnonfor nfor ndist /ANALYSIS ALL /SAVE=SCORES PROBS /METHOD=WILKS /PIN= .05 /POUT= .10 /PRIORS EQUAL /HISTORY /STATISTICS=MEAN STDDEV UNIVF TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED .
Variables Created or Modified	DIS1_3	Discriminant Scores from Function 1 for Analysis 1
	DIS1_4	Probabilities of Membership in Group 0 for Analysis 1
	DIS2_4	Probabilities of Membership in Group 1 for Analysis 1
Number of unweighted cases written to the working file after classification		985
Resources	Elapsed Time	0:00:00.22

**Analysis Case Processing Summary**
Unweighted Cases		N	Percent
Valid		984	99.9
Excluded	Missing or out-of-range group codes	0	.0
	At least one missing discriminating variable	1	.1
	Both missing or out-of-range group codes and at least one missing discriminating variable	0	.0
	Total	1	.1
Total		985	100.0

**Group Statistics**
		Mean	Std. Deviation	Valid N (listwise)
STATUS_N		Mean	Std. Deviation	Unweighted	Weighted
0	Dist_Road	69.957265	107.8637103	936	936.000
	DIST_WET	160.115385	185.6051687	936	936.000
	DIST_FOR	26.612179	35.4573212	936	936.000
	Dist_NonFo	373.870726	325.5162405	936	936.000
	Elevation	53.239316	14.1483505	936	936.000
	Aspect_Transf	.031706	.6427354	936	936.000
	SLOPE	3.598814	2.2688417	936	936.000
	%For	.523285	.3751713	936	936.000
	%Wet	.234579	.3252424	936	936.000
	%NonFor	.050186	.1392396	936	936.000
	NWET	.156293	.2148190	936	936.000
	NNONFOR	.028643	.0813376	936	936.000
	NFOR	.722650	.2622413	936	936.000
	NDIST	.051731	.1067337	936	936.000
1	Dist_Road	59.479167	91.7927799	48	48.000
	DIST_WET	205.916667	148.8620428	48	48.000
	DIST_FOR	39.854167	44.3779654	48	48.000
	Dist_NonFo	374.166667	329.0453848	48	48.000
	Elevation	54.770833	15.4537602	48	48.000
	Aspect_Transf	-.067183	.6971576	48	48.000
	SLOPE	3.551042	2.1929745	48	48.000
	%For	.462857	.4005100	48	48.000
	%Wet	.107051	.2425872	48	48.000
	%NonFor	.139101	.2894181	48	48.000
	NWET	.124375	.2089070	48	48.000
	NNONFOR	.048542	.1299753	48	48.000
	NFOR	.726458	.2893903	48	48.000
	NDIST	.047292	.1113694	48	48.000
Total	Dist_Road	69.446138	107.1187585	984	984.000
	DIST_WET	162.349593	184.1849101	984	984.000
	DIST_FOR	27.258130	36.0296932	984	984.000
	Dist_NonFo	373.885163	325.5203269	984	984.000
	Elevation	53.314024	14.2101638	984	984.000
	Aspect_Transf	.026882	.6454682	984	984.000
	SLOPE	3.596484	2.2641393	984	984.000
	%For	.520338	.3764567	984	984.000
	%Wet	.228358	.3227791	984	984.000
	%NonFor	.054524	.1510401	984	984.000
	NWET	.154736	.2145409	984	984.000
	NNONFOR	.029614	.0843734	984	984.000
	NFOR	.722835	.2634716	984	984.000
	NDIST	.051514	.1069100	984	984.000

**Tests of Equality of Group Means**
	Wilks' Lambda	F	df1	df2	Sig.
Dist_Road	1.000	.437	1	982	.509
DIST_WET	.997	2.829	1	982	.093
DIST_FOR	.994	6.200	1	982	.013
Dist_NonFo	1.000	.000	1	982	.995
Elevation	.999	.530	1	982	.467
Aspect_Transf	.999	1.072	1	982	.301
SLOPE	1.000	.020	1	982	.887
%For	.999	1.177	1	982	.278
%Wet	.993	7.172	1	982	.008
%NonFor	.984	16.065	1	982	.000
NWET	.999	1.011	1	982	.315
NNONFOR	.997	2.544	1	982	.111
NFOR	1.000	.010	1	982	.922
NDIST	1.000	.079	1	982	.779

Analysis 1

Stepwise Statistics

**Variables Entered/Removed(a,b,c,d)**
	Entered	Wilks' Lambda
		Statistic	df1	df2	df3	Exact F
Step		Statistic	df1	df2	df3	Statistic	df1	df2	Sig.
1	%NonFor	.984	1	1	982.000	16.065	1	982.000	.000
2	%Wet	.980	2	1	982.000	10.213	2	981.000	.000
3	DIST_FOR	.973	3	1	982.000	9.096	3	980.000	.000
4	NDIST	.968	4	1	982.000	8.205	4	979.000	.000
At each step, the variable that minimizes the overall Wilks' Lambda is entered.
a Maximum number of steps is 28.
b Maximum significance of F to enter is .05.
c Minimum significance of F to remove is .10.
d F level, tolerance, or VIN insufficient for further computation.

**Variables in the Analysis**
Step		Tolerance	Sig. of F to Remove	Wilks' Lambda
1	%NonFor	1.000	.000
2	%NonFor	.977	.000	.993
2	%Wet	.977	.038	.984
3	%NonFor	.914	.005	.981
	%Wet	.862	.005	.981
	DIST_FOR	.849	.010	.980
4	%NonFor	.805	.001	.979
	%Wet	.859	.003	.976
	DIST_FOR	.837	.004	.976
	NDIST	.839	.020	.973

**Variables Not in the Analysis**
Step		Tolerance	Min. Tolerance	Sig. of F to Enter	Wilks' Lambda
0	Dist_Road	1.000	1.000	.509	1.000
	DIST_WET	1.000	1.000	.093	.997
	DIST_FOR	1.000	1.000	.013	.994
	Dist_NonFo	1.000	1.000	.995	1.000
	Elevation	1.000	1.000	.467	.999
	Aspect_Transf	1.000	1.000	.301	.999
	SLOPE	1.000	1.000	.887	1.000
	%For	1.000	1.000	.278	.999
	%Wet	1.000	1.000	.008	.993
	%NonFor	1.000	1.000	.000	.984
	NWET	1.000	1.000	.315	.999
	NNONFOR	1.000	1.000	.111	.997
	NFOR	1.000	1.000	.922	1.000
	NDIST	1.000	1.000	.779	1.000
1	Dist_Road	.983	.983	.893	.984
	DIST_WET	.992	.992	.189	.982
	DIST_FOR	.963	.963	.083	.981
	Dist_NonFo	.840	.840	.082	.981
	Elevation	.956	.956	.911	.984
	Aspect_Transf	1.000	1.000	.266	.983
	SLOPE	.977	.977	.639	.984
	%For	.955	.955	.809	.984
	%Wet	.977	.977	.038	.980
	NWET	.994	.994	.496	.983
	NNONFOR	.845	.845	.985	.984
	NFOR	.932	.932	.239	.983
	NDIST	.852	.852	.050	.980
2	Dist_Road	.983	.961	.918	.980
	DIST_WET	.639	.629	.925	.980
	DIST_FOR	.849	.849	.010	.973
	Dist_NonFo	.839	.826	.074	.976
	Elevation	.769	.769	.251	.978
	Aspect_Transf	.998	.975	.309	.979
	SLOPE	.972	.952	.747	.979
	%For	.596	.596	.056	.976
	NWET	.535	.526	.322	.979
	NNONFOR	.845	.830	.983	.980
	NFOR	.647	.647	.972	.980
	NDIST	.851	.837	.046	.976
3	Dist_Road	.982	.849	.939	.973
	DIST_WET	.634	.561	.893	.973
	Dist_NonFo	.839	.782	.069	.970
	Elevation	.757	.683	.140	.971
	Aspect_Transf	.997	.849	.331	.972
	SLOPE	.955	.834	.501	.972
	%For	.264	.264	.970	.973
	NWET	.523	.462	.166	.971
	NNONFOR	.761	.761	.379	.972
	NFOR	.640	.638	.770	.973
	NDIST	.839	.805	.020	.968
4	Dist_Road	.968	.801	.722	.967
	DIST_WET	.630	.556	.758	.967
	Dist_NonFo	.817	.725	.144	.965
	Elevation	.730	.683	.291	.966
	Aspect_Transf	.997	.805	.344	.967
	SLOPE	.945	.800	.659	.967
	%For	.263	.263	.903	.968
	NWET	.519	.462	.238	.966
	NNONFOR	.726	.726	.699	.967
	NFOR	.473	.473	.300	.967

**Wilks' Lambda**
	Number of Variables	Lambda	df1	df2	df3	Exact F
Step	Number of Variables	Lambda	df1	df2	df3	Statistic	df1	df2	Sig.
1	1	.984	1	1	982	16.065	1	982.000	.000
2	2	.980	2	1	982	10.213	2	981.000	.000
3	3	.973	3	1	982	9.096	3	980.000	.000
4	4	.968	4	1	982	8.205	4	979.000	.000

Summary of Canonical Discriminant Functions

**Eigenvalues**
Function	Eigenvalue	% of Variance	Cumulative %	Canonical Correlation
1	.034(a)	100.0	100.0	.180
a First 1 canonical discriminant functions were used in the analysis.

**Wilks' Lambda**
Test of Function(s)	Wilks' Lambda	Chi-square	df	Sig.
1	.968	32.315	4	.000

**Standardized Canonical Discriminant Function Coefficients**
	Function
	1
DIST_FOR	.552
%Wet	-.566
%NonFor	.679
NDIST	-.450

**Structure Matrix**
	Function
	1
%NonFor	.699
%Wet	-.467
DIST_FOR	.434
DIST_WET(a)	.337
NNONFOR(a)	.337
NWET(a)	-.326
Elevation(a)	.287
Dist_NonFo(a)	-.234
%For(a)	-.178
NFOR(a)	.144
SLOPE(a)	-.101
Dist_Road(a)	-.053
NDIST	-.049
Aspect_Transf(a)	-.013
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function.
a This variable not used in the analysis.

**Functions at Group Centroids**
	Function
STATUS_N	1
0	-4.142E-02
1	.808
Unstandardized canonical discriminant functions evaluated at group means

Classification Statistics

**Classification Processing Summary**
Processed		985
Excluded	Missing or out-of-range group codes	0
Excluded	At least one missing discriminating variable	1
Used in Output		984

**Prior Probabilities for Groups**
	Prior	Cases Used in Analysis
STATUS_N	Prior	Unweighted	Weighted
0	.500	936	936.000
1	.500	48	48.000
Total	1.000	984	984.000

**Classification Results(b,c)**
			Predicted Group Membership		Total
	STATUS_N	0	1		Total
Original	Count	0	730	206	936
	Count	1	23	25	48
	%	0	78.0	22.0	100.0
	%	1	47.9	52.1	100.0
Cross-validated(a)	Count	0	729	207	936
	Count	1	24	24	48
	%	0	77.9	22.1	100.0
	%	1	50.0	50.0	100.0
a Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case.
b 76.7% of original grouped cases correctly classified.
c 76.5% of cross-validated grouped cases correctly classified.

ROC Curve

**Notes**
Output Created		10-FEB-2003 14:08:23
Comments
Input	Data	C:\My Documents\Alison\SPSS\tc.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	985
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the analysis.
Syntax		ROC dis1_3 BY status ('Present') /PLOT = CURVE(REFERENCE) /CRITERIA = CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING = EXCLUDE .
Resources	Elapsed Time	0:00:00.11

**Case Processing Summary**
STATUS	Valid N (listwise)
Positive(a)	48
Negative	936
Missing	1
Larger values of the test result variable(s) indicate stronger evidence for a positive actual state.
a The positive actual state is Present.

**Area Under the Curve**
Test Result Variable(s): Discriminant Scores from Function 1 for Analysis 1
Area
.689
The test result variable(s): Discriminant Scores from Function 1 for Analysis 1 has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased.