Supported by Dr. Osamu Ogasawara and  providing  . |
|
Last data update: 2014.03.03 |
An object of class "ENMevaluation"DescriptionAn example results file based on a call of ENMevaluate (see example). Usagedata(enmeval_results) FormatAn object of class 'ENMevaluation' with nine slots:
DetailsThe dataset is based on the simulated dataset and call of Examples
### Simulated data environmental covariates
set.seed(1)
r1 <- raster(matrix(nrow=50, ncol=50, data=runif(10000, 0, 25)))
r2 <- raster(matrix(nrow=50, ncol=50, data=rep(1:100, each=100), byrow=TRUE))
r3 <- raster(matrix(nrow=50, ncol=50, data=rep(1:100, each=100)))
r4 <- raster(matrix(nrow=50, ncol=50, data=c(rep(1,1000),rep(2,500)),byrow=TRUE))
values(r4) <- as.factor(values(r4))
env <- stack(r1,r2,r3,r4)
### Simulate occurrence localities
nocc <- 50
x <- (rpois(nocc, 2) + abs(rnorm(nocc)))/11
y <- runif(nocc, 0, .99)
occ <- cbind(x,y)
## Not run:
### This gives the results that are loaded below:
enmeval_results <- ENMevaluate(occ, env, method='block', n.bg=500,
RMvalues=c(0.1, 1, 5), fc=c('L','LQ','LQP'), overlap=TRUE, clamp=T)
## End(Not run)
data(enmeval_results)
enmeval_results
### See table of evaluation metrics
enmeval_results@results
### Plot prediction with lowest AICc
plot(enmeval_results@predictions[[which (enmeval_results@results$delta.AICc == 0) ]])
points(enmeval_results@occ.pts, pch=21, bg= enmeval_results@occ.grp)
### Niche overlap statistics between model predictions
enmeval_results@overlap
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(ENMeval)
Loading required package: dismo
Loading required package: raster
Loading required package: sp
Loading required package: rJava
Loading required package: parallel
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ENMeval/enmeval_results.Rd_%03d_medium.png", width=480, height=480)
> ### Name: enmeval_results
> ### Title: An object of class "ENMevaluation"
> ### Aliases: enmeval_results
>
> ### ** Examples
>
> ### Simulated data environmental covariates
> set.seed(1)
> r1 <- raster(matrix(nrow=50, ncol=50, data=runif(10000, 0, 25)))
> r2 <- raster(matrix(nrow=50, ncol=50, data=rep(1:100, each=100), byrow=TRUE))
> r3 <- raster(matrix(nrow=50, ncol=50, data=rep(1:100, each=100)))
> r4 <- raster(matrix(nrow=50, ncol=50, data=c(rep(1,1000),rep(2,500)),byrow=TRUE))
> values(r4) <- as.factor(values(r4))
> env <- stack(r1,r2,r3,r4)
>
> ### Simulate occurrence localities
> nocc <- 50
> x <- (rpois(nocc, 2) + abs(rnorm(nocc)))/11
> y <- runif(nocc, 0, .99)
> occ <- cbind(x,y)
>
> ## Not run:
> ##D ### This gives the results that are loaded below:
> ##D
> ##D enmeval_results <- ENMevaluate(occ, env, method='block', n.bg=500,
> ##D RMvalues=c(0.1, 1, 5), fc=c('L','LQ','LQP'), overlap=TRUE, clamp=T)
> ## End(Not run)
>
> data(enmeval_results)
> enmeval_results
An object of class: ENMevaluation
Occurrence/background points: 50/500
Partition method: block
Feature classes: L, LQ, H, LQH, LQHP, LQHPT
Regularization multipliers: 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4
@results : data.frame of evaluation results
@predictions : RasterStack of model predictions
@models : list of model objects
@occ.pts : data.frame of occurrence coordinates
@occ.grp : vector of bins for occurrence points
@bg.pts : data.frame of background coordinates
@bg.grp : vector of bins for background points
@overlap : matrix of pairwise niche overlap metric
>
> ### See table of evaluation metrics
> enmeval_results@results
settings features rm full.AUC Mean.AUC Var.AUC Mean.AUC.DIFF
1 L_0.5 L 0.5 0.7512 0.6193366 0.4162066 0.06261513
2 LQ_0.5 LQ 0.5 0.8151 0.6540218 0.5342977 0.02642105
3 H_0.5 H 0.5 0.8473 0.6303295 0.4975472 0.06092553
4 LQH_0.5 LQH 0.5 0.8479 0.6271692 0.4956675 0.06728342
5 LQHP_0.5 LQHP 0.5 0.8642 0.6244603 0.4920282 0.07618212
6 LQHPT_0.5 LQHPT 0.5 0.8872 0.6384680 0.4696086 0.08332131
7 L_1 L 1.0 0.7503 0.6200212 0.4118639 0.06199232
8 LQ_1 LQ 1.0 0.8123 0.6596782 0.5484075 0.02989474
9 H_1 H 1.0 0.8383 0.6419115 0.5154462 0.05477407
10 LQH_1 LQH 1.0 0.8376 0.6385064 0.5153454 0.05908519
11 LQHP_1 LQHP 1.0 0.8444 0.6362192 0.5083415 0.06101274
12 LQHPT_1 LQHPT 1.0 0.8452 0.6301295 0.4956974 0.05601758
13 L_1.5 L 1.5 0.7490 0.6203152 0.4050825 0.06176864
14 LQ_1.5 LQ 1.5 0.8077 0.6581090 0.5540265 0.03563596
15 H_1.5 H 1.5 0.8328 0.6417103 0.5124453 0.04554796
16 LQH_1.5 LQH 1.5 0.8280 0.6391090 0.5148464 0.04854654
17 LQHP_1.5 LQHP 1.5 0.8327 0.6338244 0.5039880 0.05676753
18 LQHPT_1.5 LQHPT 1.5 0.8327 0.6279295 0.4927212 0.06564786
19 L_2 L 2.0 0.7486 0.6194352 0.3972672 0.06209101
20 LQ_2 LQ 2.0 0.8011 0.6441396 0.5358973 0.04371930
21 H_2 H 2.0 0.8278 0.6413410 0.5085090 0.03703365
22 LQH_2 LQH 2.0 0.8201 0.6466718 0.5287108 0.03818311
23 LQHP_2 LQHP 2.0 0.8278 0.6320910 0.4993993 0.04964220
24 LQHPT_2 LQHPT 2.0 0.8292 0.6327833 0.5006643 0.05112384
25 L_2.5 L 2.5 0.7488 0.6203313 0.3934561 0.06133443
26 LQ_2.5 LQ 2.5 0.7924 0.6353536 0.4623535 0.06138816
27 H_2.5 H 2.5 0.8205 0.6360231 0.4994163 0.03271469
28 LQH_2.5 LQH 2.5 0.8135 0.6464451 0.5230157 0.04071711
29 LQHP_2.5 LQHP 2.5 0.8215 0.6315760 0.4584322 0.04374678
30 LQHPT_2.5 LQHPT 2.5 0.8229 0.6314067 0.4640383 0.04216102
31 L_3 L 3.0 0.7476 0.6205008 0.3887178 0.06066338
32 LQ_3 LQ 3.0 0.7798 0.6297099 0.3949870 0.07006140
33 H_3 H 3.0 0.8169 0.6387718 0.4410546 0.03759456
34 LQH_3 LQH 3.0 0.8094 0.6495825 0.4904597 0.04950439
35 LQHP_3 LQHP 3.0 0.8129 0.6363072 0.3750360 0.05501425
36 LQHPT_3 LQHPT 3.0 0.8150 0.6359031 0.3750489 0.05485855
37 L_3.5 L 3.5 0.7465 0.6202061 0.3828951 0.06184649
38 LQ_3.5 LQ 3.5 0.7684 0.6274159 0.3699853 0.07037500
39 H_3.5 H 3.5 0.8125 0.6346140 0.3793913 0.04628191
40 LQH_3.5 LQH 3.5 0.8038 0.6445879 0.4295549 0.06163816
41 LQHP_3.5 LQHP 3.5 0.8046 0.6298516 0.3237805 0.07004057
42 LQHPT_3.5 LQHPT 3.5 0.8046 0.6298823 0.3238391 0.07004057
43 L_4 L 4.0 0.7454 0.6214136 0.3773642 0.05920833
44 LQ_4 LQ 4.0 0.7589 0.6263454 0.3661155 0.06866009
45 H_4 H 4.0 0.8090 0.6238694 0.3223219 0.05993092
46 LQH_4 LQH 4.0 0.7955 0.6401712 0.3951043 0.07164035
47 LQHP_4 LQHP 4.0 0.7913 0.6248170 0.3011792 0.08145285
48 LQHPT_4 LQHPT 4.0 0.7909 0.6248170 0.3011792 0.08145285
Var.AUC.DIFF Mean.OR10 Var.OR10 Mean.ORmin Var.ORmin nparm AICc
1 0.021555548 0.2565833 0.12512990 0.08333333 0.034722222 4 754.7624
2 0.008209327 0.2374859 0.13024829 0.03333333 0.005555556 7 731.2494
3 0.014551695 0.3143756 0.12595201 0.03205128 0.001931295 23 795.8741
4 0.017936059 0.3154923 0.12750029 0.03205128 0.001931295 23 796.0107
5 0.023578151 0.3471423 0.10804811 0.06410256 0.004252959 24 798.3934
6 0.020152440 0.3788244 0.09757874 0.14487179 0.026947732 30 847.3932
7 0.020317756 0.2561500 0.12465092 0.03333333 0.005555556 4 754.8550
8 0.010509857 0.2206346 0.13229507 0.03333333 0.005555556 5 726.9757
9 0.007953456 0.3034731 0.13229925 0.01666667 0.001388889 10 731.9548
10 0.013745375 0.3379731 0.13499786 0.01666667 0.001388889 13 743.8811
11 0.011326146 0.3024064 0.13076020 0.01666667 0.001388889 14 745.3163
12 0.012522779 0.3161064 0.11545178 0.03333333 0.002083333 14 743.2104
13 0.019160331 0.2553167 0.12373508 0.03333333 0.005555556 4 754.9833
14 0.014934283 0.2346500 0.13531700 0.03333333 0.005555556 6 731.1533
15 0.005522896 0.3011064 0.12889987 0.01666667 0.001388889 8 728.1952
16 0.015786176 0.3346397 0.13046500 0.05000000 0.012500000 10 736.8504
17 0.011028710 0.3004064 0.12790515 0.05000000 0.012500000 8 728.1997
18 0.009420551 0.3443603 0.10105325 0.05000000 0.012500000 9 729.4640
19 0.018635849 0.2379167 0.11062587 0.03333333 0.005555556 4 755.1469
20 0.021448290 0.2440167 0.11645331 0.05000000 0.005555556 5 730.6153
21 0.004524881 0.2960897 0.12187934 0.01666667 0.001388889 9 733.5521
22 0.017145494 0.2821192 0.12626586 0.05000000 0.012500000 8 734.1916
23 0.010783042 0.2960897 0.12187934 0.05000000 0.012500000 9 733.5521
24 0.010426811 0.2968564 0.12293595 0.05000000 0.012500000 9 732.1412
25 0.017573997 0.1874833 0.08982292 0.03333333 0.005555556 4 755.3458
26 0.025164736 0.2339833 0.10292503 0.05000000 0.005555556 6 735.5974
27 0.005117769 0.2937538 0.09666601 0.05000000 0.005555556 6 728.3221
28 0.017710366 0.2773526 0.11973040 0.03333333 0.005555556 8 736.6908
29 0.008186308 0.2901872 0.09202537 0.06666667 0.008333333 7 731.1407
30 0.008308722 0.2907872 0.09279714 0.06666667 0.008333333 8 733.1847
31 0.016592966 0.1701500 0.08774817 0.03333333 0.005555556 4 755.5800
32 0.023126829 0.2068833 0.08326746 0.06666667 0.008333333 4 733.1730
33 0.004400608 0.2865038 0.08736645 0.05000000 0.005555556 5 728.0378
34 0.017739716 0.2724346 0.09758013 0.06666667 0.008333333 6 732.7286
35 0.012514599 0.2611192 0.07834442 0.05000000 0.005555556 6 731.2429
36 0.012469965 0.2612859 0.07854204 0.05000000 0.005555556 7 733.3601
37 0.016917701 0.1694500 0.08685123 0.03333333 0.005555556 4 755.8493
38 0.020671365 0.2009500 0.07611285 0.06666667 0.008333333 4 735.9920
39 0.006037249 0.2941705 0.07679630 0.08333333 0.020833333 4 728.0842
40 0.019560396 0.2474013 0.08570658 0.06666667 0.008333333 5 731.8876
41 0.019348862 0.2704013 0.07311552 0.08333333 0.020833333 5 731.8226
42 0.019348862 0.2704013 0.07311552 0.08333333 0.020833333 6 734.0140
43 0.014728898 0.1853833 0.08027587 0.03333333 0.002083333 4 756.1539
44 0.019184643 0.2160833 0.07434545 0.08333333 0.013888889 4 738.9550
45 0.014083470 0.2401167 0.08535646 0.08333333 0.020833333 4 730.3244
46 0.023505093 0.2096500 0.08672395 0.06666667 0.008333333 4 731.2224
47 0.026094785 0.2312167 0.07550712 0.08333333 0.020833333 5 735.0602
48 0.026094785 0.2312167 0.07550712 0.08333333 0.020833333 6 737.4876
delta.AICc w.AIC nparam AUC_bin.1 AUC_bin.2 AUC_bin.3 AUC_bin.4
1 27.786727 1.618056e-07 4 0.069048246 0.8279231 0.6126667 0.8874615
2 4.273726 2.064320e-02 7 0.000000000 0.8336154 0.7315000 0.8380769
3 68.898439 1.912929e-16 23 0.000000000 0.8040000 0.7466667 0.7342308
4 69.034986 1.786685e-16 23 0.000000000 0.8040000 0.7266667 0.7328462
5 71.417768 5.427921e-17 24 0.000000000 0.8040000 0.7540000 0.7003846
6 120.417502 1.243015e-27 30 0.027013158 0.8388462 0.7570000 0.7202308
7 27.879347 1.544833e-07 4 0.072214912 0.8279231 0.6161667 0.8863846
8 0.000000 1.749061e-01 5 0.000000000 0.8562308 0.7165000 0.8660769
9 4.979182 1.450739e-02 10 0.000000000 0.8144615 0.7525000 0.7598462
10 16.905406 3.731149e-05 13 0.000000000 0.8144615 0.7123333 0.7771538
11 18.340626 1.820491e-05 14 0.000000000 0.8144615 0.7288333 0.7603846
12 16.234731 5.217684e-05 14 0.000000000 0.7929231 0.7298333 0.7653077
13 28.007589 1.448886e-07 4 0.077223684 0.8279231 0.6183333 0.8848462
14 4.177670 2.165884e-02 6 0.000000000 0.8686923 0.6921667 0.8897692
15 1.219567 9.505595e-02 8 0.000000000 0.8137692 0.7562500 0.7676154
16 9.874768 1.254661e-03 10 0.000000000 0.8137692 0.7031667 0.8066923
17 1.224067 9.484231e-02 8 0.000000000 0.8137692 0.7181667 0.7697692
18 2.488378 5.040348e-02 9 0.000000000 0.7950000 0.7180000 0.7702308
19 28.171242 1.335050e-07 4 0.081785088 0.8247692 0.6185000 0.8825385
20 3.639616 2.834472e-02 5 0.003057018 0.8485385 0.6599167 0.9057692
21 6.576426 6.527578e-03 9 0.000000000 0.8234615 0.7603333 0.7770769
22 7.215925 4.741181e-03 8 0.000000000 0.8656923 0.6985833 0.8290000
23 6.576426 6.527578e-03 9 0.000000000 0.8234615 0.7140833 0.7770769
24 5.165568 1.321649e-02 9 0.000000000 0.8208462 0.7142500 0.7791538
25 28.370163 1.208655e-07 4 0.084688596 0.8247692 0.6231667 0.8816154
26 8.621731 2.347577e-03 6 0.049960526 0.8370769 0.6282500 0.9082308
27 1.346421 8.921405e-02 6 0.000000000 0.8250000 0.7471667 0.7866154
28 9.715153 1.358896e-03 8 0.005802632 0.8790000 0.6882500 0.8429231
29 4.164985 2.179665e-02 7 0.024815789 0.8250000 0.7103333 0.7942308
30 6.209019 7.843926e-03 8 0.020815789 0.8203846 0.7103333 0.7990000
31 28.604285 1.075136e-07 4 0.088074561 0.8247692 0.6255000 0.8800769
32 6.197319 7.889947e-03 4 0.095600877 0.8247692 0.6242500 0.9028462
33 1.062124 1.028413e-01 5 0.041416667 0.8288462 0.7406667 0.7978462
34 5.752912 9.853165e-03 6 0.034592105 0.8927692 0.6759167 0.8593846
35 4.267260 2.071005e-02 6 0.091811404 0.8288462 0.7023333 0.8234615
36 6.384448 7.185211e-03 7 0.091188596 0.8288462 0.7023333 0.8212308
37 28.873613 9.396789e-08 4 0.092364035 0.8247692 0.6250833 0.8782308
38 9.016338 1.927223e-03 4 0.115425439 0.8247692 0.6250833 0.9003846
39 1.108542 1.004819e-01 4 0.081153509 0.8131538 0.7418333 0.7968462
40 4.911899 1.500374e-02 5 0.074478070 0.8768462 0.6615833 0.8666154
41 4.846935 1.549909e-02 5 0.132302632 0.8283846 0.6726667 0.8241538
42 7.038289 5.181551e-03 6 0.132302632 0.8283846 0.6726667 0.8243077
43 29.178230 8.069239e-08 4 0.095978070 0.8247692 0.6342500 0.8751538
44 11.979288 4.380619e-04 4 0.118355263 0.8247692 0.6250833 0.8997692
45 3.348728 3.278217e-02 4 0.118442982 0.7950000 0.7021667 0.8031538
46 4.246702 2.092402e-02 4 0.101714912 0.8695385 0.6399167 0.8747692
47 8.084505 3.070979e-03 5 0.156232456 0.8247692 0.6470000 0.8400000
48 10.511918 9.123695e-04 6 0.156232456 0.8247692 0.6470000 0.8400000
NA AUC.DIFF_bin.1 AUC.DIFF_bin.2 AUC.DIFF_bin.3 AUC.DIFF_bin.4
1 0.6995833 0.000000000 0.18141228 0.00000000 0.069048246
2 0.8669167 0.000000000 0.10568421 0.00000000 0.000000000
3 0.8667500 0.000000000 0.12114912 0.12255301 0.000000000
4 0.8723333 0.000000000 0.14441228 0.12472141 0.000000000
5 0.8639167 0.000000000 0.13181579 0.17291268 0.000000000
6 0.8492500 0.000000000 0.13439474 0.17187734 0.027013158
7 0.6974167 0.000000000 0.17575439 0.00000000 0.072214912
8 0.8595833 0.000000000 0.11957895 0.00000000 0.000000000
9 0.8827500 0.022430353 0.11005263 0.08661331 0.000000000
10 0.8885833 0.022430353 0.15495614 0.05895426 0.000000000
11 0.8774167 0.022430353 0.13714035 0.08448025 0.000000000
12 0.8625833 0.005725572 0.13619298 0.08215177 0.000000000
13 0.6932500 0.000000000 0.16985088 0.00000000 0.077223684
14 0.8399167 0.000000000 0.14254386 0.00000000 0.000000000
15 0.8709167 0.018311850 0.09117105 0.07270894 0.000000000
16 0.8719167 0.018311850 0.15770175 0.01817256 0.000000000
17 0.8674167 0.018311850 0.13614912 0.07260915 0.000000000
18 0.8564167 0.051648649 0.13657895 0.07436383 0.000000000
19 0.6895833 0.000000000 0.16657895 0.00000000 0.081785088
20 0.8034167 0.000000000 0.17182018 0.00000000 0.003057018
21 0.8458333 0.008376299 0.08142982 0.05832848 0.000000000
22 0.8400833 0.000000000 0.15273246 0.00000000 0.000000000
23 0.8458333 0.008376299 0.13186404 0.05832848 0.000000000
24 0.8496667 0.013694387 0.13217105 0.05862994 0.000000000
25 0.6874167 0.000000000 0.16064912 0.00000000 0.084688596
26 0.7532500 0.000000000 0.19559211 0.00000000 0.049960526
27 0.8213333 0.000000000 0.08712281 0.04373597 0.000000000
28 0.8162500 0.000000000 0.15706579 0.00000000 0.005802632
29 0.8035000 0.000000000 0.12045614 0.02971518 0.024815789
30 0.8065000 0.002047817 0.12045614 0.02532432 0.020815789
31 0.6840833 0.000000000 0.15457895 0.00000000 0.088074561
32 0.7010833 0.000000000 0.18464474 0.00000000 0.095600877
33 0.7850833 0.000000000 0.08978070 0.01918087 0.041416667
34 0.7852500 0.000000000 0.16342544 0.00000000 0.034592105
35 0.7350833 0.000000000 0.12824561 0.00000000 0.091811404
36 0.7359167 0.000000000 0.12824561 0.00000000 0.091188596
37 0.6805833 0.000000000 0.15502193 0.00000000 0.092364035
38 0.6714167 0.000000000 0.16607456 0.00000000 0.115425439
39 0.7400833 0.000000000 0.08898246 0.01499168 0.081153509
40 0.7434167 0.000000000 0.17207456 0.00000000 0.074478070
41 0.6917500 0.000000000 0.14785965 0.00000000 0.132302632
42 0.6917500 0.000000000 0.14785965 0.00000000 0.132302632
43 0.6769167 0.000000000 0.14085526 0.00000000 0.095978070
44 0.6637500 0.000000000 0.15628509 0.00000000 0.118355263
45 0.7005833 0.000000000 0.12128070 0.00000000 0.118442982
46 0.7149167 0.000000000 0.18484649 0.00000000 0.101714912
47 0.6560833 0.000000000 0.16957895 0.00000000 0.156232456
48 0.6560833 0.000000000 0.16957895 0.00000000 0.156232456
OR10_bin.1 OR10_bin.2 OR10_bin.3 OR10_bin.4 NA ORmin_bin.1
1 0.6995833 0.00000000 0.5833333 0.00000000 0.00000000 0.00000000
2 0.8669167 0.00000000 0.1666667 0.15384615 0.00000000 0.00000000
3 0.8667500 0.07692308 0.1666667 0.46153846 0.00000000 0.00000000
4 0.8723333 0.07692308 0.1666667 0.46153846 0.00000000 0.00000000
5 0.8639167 0.07692308 0.2500000 0.46153846 0.08333333 0.08333333
6 0.8492500 0.00000000 0.2500000 0.46153846 0.33333333 0.33333333
7 0.6974167 0.00000000 0.5833333 0.00000000 0.00000000 0.00000000
8 0.8595833 0.00000000 0.1666667 0.07692308 0.00000000 0.00000000
9 0.8827500 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
10 0.8885833 0.00000000 0.4166667 0.38461538 0.00000000 0.00000000
11 0.8774167 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
12 0.8625833 0.00000000 0.2500000 0.38461538 0.08333333 0.08333333
13 0.6932500 0.00000000 0.5833333 0.00000000 0.00000000 0.00000000
14 0.8399167 0.00000000 0.3333333 0.00000000 0.00000000 0.00000000
15 0.8709167 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
16 0.8719167 0.00000000 0.4166667 0.38461538 0.00000000 0.00000000
17 0.8674167 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
18 0.8564167 0.23076923 0.2500000 0.38461538 0.00000000 0.00000000
19 0.6895833 0.00000000 0.5000000 0.00000000 0.00000000 0.00000000
20 0.8034167 0.00000000 0.3333333 0.00000000 0.08333333 0.08333333
21 0.8458333 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
22 0.8400833 0.00000000 0.4166667 0.15384615 0.00000000 0.00000000
23 0.8458333 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
24 0.8496667 0.00000000 0.2500000 0.38461538 0.00000000 0.00000000
25 0.6874167 0.00000000 0.2500000 0.00000000 0.00000000 0.00000000
26 0.7532500 0.00000000 0.3333333 0.00000000 0.08333333 0.08333333
27 0.8213333 0.00000000 0.2500000 0.23076923 0.16666667 0.16666667
28 0.8162500 0.00000000 0.4166667 0.15384615 0.00000000 0.00000000
29 0.8035000 0.00000000 0.2500000 0.23076923 0.16666667 0.16666667
30 0.8065000 0.00000000 0.2500000 0.23076923 0.16666667 0.16666667
31 0.6840833 0.00000000 0.1666667 0.00000000 0.00000000 0.00000000
32 0.7010833 0.00000000 0.1666667 0.00000000 0.16666667 0.16666667
33 0.7850833 0.00000000 0.2500000 0.23076923 0.16666667 0.16666667
34 0.7852500 0.00000000 0.3333333 0.07692308 0.16666667 0.16666667
35 0.7350833 0.00000000 0.2500000 0.15384615 0.16666667 0.16666667
36 0.7359167 0.00000000 0.2500000 0.15384615 0.16666667 0.16666667
37 0.6805833 0.00000000 0.1666667 0.00000000 0.00000000 0.00000000
38 0.6714167 0.00000000 0.1666667 0.00000000 0.16666667 0.16666667
39 0.7400833 0.00000000 0.1666667 0.23076923 0.33333333 0.33333333
40 0.7434167 0.00000000 0.2500000 0.07692308 0.16666667 0.16666667
41 0.6917500 0.00000000 0.2500000 0.07692308 0.33333333 0.33333333
42 0.6917500 0.00000000 0.2500000 0.07692308 0.33333333 0.33333333
43 0.6769167 0.00000000 0.1666667 0.00000000 0.08333333 0.08333333
44 0.6637500 0.00000000 0.1666667 0.00000000 0.25000000 0.25000000
45 0.7005833 0.00000000 0.1666667 0.00000000 0.33333333 0.33333333
46 0.7149167 0.00000000 0.1666667 0.00000000 0.16666667 0.16666667
47 0.6560833 0.00000000 0.1666667 0.00000000 0.33333333 0.33333333
48 0.6560833 0.00000000 0.1666667 0.00000000 0.33333333 0.33333333
ORmin_bin.2 ORmin_bin.3 ORmin_bin.4 NA
1 0 0.41666667 0.00000000 0
2 0 0.16666667 0.00000000 0
3 0 0.08333333 0.07692308 0
4 0 0.08333333 0.07692308 0
5 0 0.08333333 0.15384615 0
6 0 0.08333333 0.30769231 0
7 0 0.16666667 0.00000000 0
8 0 0.16666667 0.00000000 0
9 0 0.08333333 0.00000000 0
10 0 0.08333333 0.00000000 0
11 0 0.08333333 0.00000000 0
12 0 0.08333333 0.00000000 0
13 0 0.16666667 0.00000000 0
14 0 0.16666667 0.00000000 0
15 0 0.08333333 0.00000000 0
16 0 0.25000000 0.00000000 0
17 0 0.25000000 0.00000000 0
18 0 0.25000000 0.00000000 0
19 0 0.16666667 0.00000000 0
20 0 0.16666667 0.00000000 0
21 0 0.08333333 0.00000000 0
22 0 0.25000000 0.00000000 0
23 0 0.25000000 0.00000000 0
24 0 0.25000000 0.00000000 0
25 0 0.16666667 0.00000000 0
26 0 0.16666667 0.00000000 0
27 0 0.08333333 0.00000000 0
28 0 0.16666667 0.00000000 0
29 0 0.16666667 0.00000000 0
30 0 0.16666667 0.00000000 0
31 0 0.16666667 0.00000000 0
32 0 0.16666667 0.00000000 0
33 0 0.08333333 0.00000000 0
34 0 0.16666667 0.00000000 0
35 0 0.08333333 0.00000000 0
36 0 0.08333333 0.00000000 0
37 0 0.16666667 0.00000000 0
38 0 0.16666667 0.00000000 0
39 0 0.08333333 0.00000000 0
40 0 0.16666667 0.00000000 0
41 0 0.08333333 0.00000000 0
42 0 0.08333333 0.00000000 0
43 0 0.08333333 0.00000000 0
44 0 0.16666667 0.00000000 0
45 0 0.08333333 0.00000000 0
46 0 0.16666667 0.00000000 0
47 0 0.08333333 0.00000000 0
48 0 0.08333333 0.00000000 0
>
> ### Plot prediction with lowest AICc
> plot(enmeval_results@predictions[[which (enmeval_results@results$delta.AICc == 0) ]])
> points(enmeval_results@occ.pts, pch=21, bg= enmeval_results@occ.grp)
>
> ### Niche overlap statistics between model predictions
> enmeval_results@overlap
L_0.5 LQ_0.5 H_0.5 LQH_0.5 LQHP_0.5 LQHPT_0.5 L_1
L_0.5 NA NA NA NA NA NA NA
LQ_0.5 0.6904021 NA NA NA NA NA NA
H_0.5 0.5977922 0.8082292 NA NA NA NA NA
LQH_0.5 0.5963977 0.8065003 0.9898059 NA NA NA NA
LQHP_0.5 0.5757667 0.7615979 0.9008728 0.9017413 NA NA NA
LQHPT_0.5 0.5557143 0.7217880 0.8570047 0.8574290 0.9077956 NA NA
L_1 0.9920197 0.6902412 0.5972368 0.5958997 0.5757552 0.5557171 NA
LQ_1 0.7226490 0.9640651 0.7957497 0.7940248 0.7495492 0.7128567 0.7226373
H_1 0.6578847 0.8890675 0.8963782 0.8949056 0.8364911 0.7931691 0.6573157
LQH_1 0.6579679 0.8907528 0.8956683 0.8940527 0.8350299 0.7885177 0.6574491
LQHP_1 0.6558528 0.8829295 0.8978330 0.8964352 0.8459250 0.8011957 0.6553292
LQHPT_1 0.6430928 0.8739146 0.8836195 0.8819847 0.8373947 0.8057621 0.6425464
L_1.5 0.9840556 0.6897632 0.5965479 0.5952768 0.5755935 0.5555836 0.9920355
LQ_1.5 0.7519237 0.9314559 0.7810782 0.7794025 0.7369025 0.7029047 0.7522683
H_1.5 0.6995738 0.9107678 0.8517596 0.8501900 0.7957679 0.7581020 0.6992266
LQH_1.5 0.6994971 0.9220468 0.8383374 0.8369132 0.7860334 0.7452208 0.6991028
LQHP_1.5 0.6997017 0.9108646 0.8517101 0.8501575 0.7957502 0.7580686 0.6993618
LQHPT_1.5 0.6887136 0.9010004 0.8472161 0.8447175 0.7924484 0.7621426 0.6883187
L_2 0.9761065 0.6891042 0.5958049 0.5945457 0.5752273 0.5553255 0.9840862
LQ_2 0.7797875 0.9008764 0.7631425 0.7617440 0.7221269 0.6911319 0.7802670
H_2 0.7290268 0.9062870 0.8242142 0.8226588 0.7738186 0.7408595 0.7290458
LQH_2 0.7263734 0.9151072 0.8095558 0.8081073 0.7609257 0.7239874 0.7261978
LQHP_2 0.7290268 0.9062870 0.8242142 0.8226588 0.7738186 0.7408595 0.7290458
LQHPT_2 0.7199722 0.9014223 0.8223329 0.8206855 0.7732304 0.7440985 0.7198369
L_2.5 0.9681727 0.6883045 0.5949855 0.5937394 0.5747090 0.5549463 0.9761517
LQ_2.5 0.8060263 0.8722648 0.7435987 0.7424685 0.7064120 0.6778335 0.8067289
H_2.5 0.7534223 0.8921222 0.7962112 0.7948937 0.7536563 0.7238594 0.7540062
LQH_2.5 0.7483320 0.9049135 0.7929457 0.7917222 0.7475851 0.7127049 0.7484479
LQHP_2.5 0.7534329 0.8927613 0.7965358 0.7951456 0.7537306 0.7236474 0.7539672
LQHPT_2.5 0.7475144 0.8927843 0.7963248 0.7948503 0.7537591 0.7252157 0.7477980
L_3 0.9602533 0.6874169 0.5940677 0.5928387 0.5740629 0.5544326 0.9682306
LQ_3 0.8304541 0.8455300 0.7239770 0.7228686 0.6902675 0.6637676 0.8316246
H_3 0.7744981 0.8738420 0.7720510 0.7708504 0.7356892 0.7089552 0.7756144
LQH_3 0.7678591 0.8925710 0.7799681 0.7789387 0.7363775 0.7035991 0.7681866
LQHP_3 0.7756688 0.8751149 0.7729137 0.7716318 0.7354281 0.7076602 0.7765411
LQHPT_3 0.7719063 0.8761386 0.7735229 0.7722257 0.7361360 0.7090602 0.7726110
L_3.5 0.9523467 0.6864758 0.5930124 0.5918606 0.5732709 0.5537596 0.9603219
LQ_3.5 0.8527629 0.8204642 0.7045634 0.7035044 0.6742222 0.6492993 0.8544200
H_3.5 0.7914201 0.8540270 0.7489978 0.7478034 0.7173954 0.6928059 0.7931503
LQH_3.5 0.7854052 0.8778203 0.7656713 0.7645927 0.7250556 0.6939648 0.7859438
LQHP_3.5 0.7958958 0.8539773 0.7491413 0.7479612 0.7159088 0.6895168 0.7971979
LQHPT_3.5 0.7946513 0.8548859 0.7494606 0.7483205 0.7164555 0.6904349 0.7958814
L_4 0.9444517 0.6854788 0.5917005 0.5907615 0.5723776 0.5528559 0.9524247
LQ_4 0.8727434 0.7966719 0.6856163 0.6845037 0.6582986 0.6346740 0.8749665
H_4 0.8060665 0.8394636 0.7314312 0.7304064 0.7029527 0.6792065 0.8082351
LQH_4 0.8024999 0.8627016 0.7512642 0.7503191 0.7132691 0.6838646 0.8033073
LQHP_4 0.8164987 0.8346627 0.7275139 0.7263412 0.6975838 0.6723852 0.8181843
LQHPT_4 0.8159203 0.8356394 0.7280076 0.7268213 0.6979861 0.6728866 0.8175865
LQ_1 H_1 LQH_1 LQHP_1 LQHPT_1 L_1.5 LQ_1.5
L_0.5 NA NA NA NA NA NA NA
LQ_0.5 NA NA NA NA NA NA NA
H_0.5 NA NA NA NA NA NA NA
LQH_0.5 NA NA NA NA NA NA NA
LQHP_0.5 NA NA NA NA NA NA NA
LQHPT_0.5 NA NA NA NA NA NA NA
L_1 NA NA NA NA NA NA NA
LQ_1 NA NA NA NA NA NA NA
H_1 0.8772520 NA NA NA NA NA NA
LQH_1 0.8798412 0.9707122 NA NA NA NA NA
LQHP_1 0.8718071 0.9847818 0.9648563 NA NA NA NA
LQHPT_1 0.8633145 0.9583148 0.9386373 0.9657626 NA NA NA
L_1.5 0.7222522 0.6566232 0.6567614 0.6546838 0.6418808 NA NA
LQ_1.5 0.9672343 0.8597140 0.8622545 0.8553063 0.8471595 0.7521461 NA
H_1.5 0.9126374 0.9449363 0.9351346 0.9400883 0.9265894 0.6987504 0.9017937
LQH_1.5 0.9234884 0.9222292 0.9369842 0.9162920 0.8951117 0.6985465 0.9091836
LQHP_1.5 0.9127335 0.9449019 0.9350463 0.9400683 0.9266679 0.6988949 0.9018974
LQHPT_1.5 0.9018184 0.9312956 0.9181524 0.9272799 0.9400739 0.6878034 0.8908339
L_2 0.7216737 0.6557387 0.6559536 0.6539482 0.6411270 0.9920505 0.7517528
LQ_2 0.9365239 0.8381948 0.8399773 0.8346777 0.8265872 0.7805890 0.9692291
H_2 0.9208345 0.9061705 0.9026297 0.9034353 0.8944915 0.7289288 0.9215390
LQH_2 0.9266818 0.8853728 0.8997842 0.8801157 0.8607085 0.7258436 0.9235751
LQHP_2 0.9208345 0.9061705 0.9026297 0.9034353 0.8944915 0.7289288 0.9215390
LQHPT_2 0.9136313 0.9015828 0.8952375 0.8991852 0.9039114 0.7196100 0.9123472
L_2.5 0.7210230 0.6546838 0.6550276 0.6530752 0.6402231 0.9841152 0.7512714
LQ_2.5 0.9077143 0.8153322 0.8168928 0.8124158 0.8041058 0.8072749 0.9402637
H_2.5 0.9139502 0.8715063 0.8704785 0.8692241 0.8618081 0.7543217 0.9262453
LQH_2.5 0.9253146 0.8686703 0.8798133 0.8636775 0.8462747 0.7484183 0.9336706
LQHP_2.5 0.9147450 0.8718502 0.8711709 0.8695111 0.8617954 0.7542621 0.9270766
LQHPT_2.5 0.9132506 0.8715866 0.8700805 0.8691930 0.8680978 0.7479184 0.9237226
L_3 0.7202854 0.6534062 0.6539602 0.6519734 0.6391560 0.9761929 0.7507067
LQ_3 0.8806717 0.7927023 0.7943392 0.7900698 0.7811117 0.8324441 0.9130203
H_3 0.8997067 0.8439385 0.8443853 0.8423762 0.8349361 0.7764682 0.9179944
LQH_3 0.9180344 0.8547483 0.8627030 0.8502802 0.8346201 0.7683645 0.9352591
LQHP_3 0.9021159 0.8448436 0.8460219 0.8431170 0.8348454 0.7771901 0.9214538
LQHPT_3 0.9022915 0.8464486 0.8473291 0.8445274 0.8396473 0.7731615 0.9206830
L_3.5 0.7194361 0.6520059 0.6527093 0.6506621 0.6379554 0.9682827 0.7500273
LQ_3.5 0.8552281 0.7711395 0.7727578 0.7686903 0.7587934 0.8557511 0.8873923
H_3.5 0.8826698 0.8181177 0.8189075 0.8167330 0.8093373 0.7946260 0.9048468
LQH_3.5 0.9070246 0.8387517 0.8445358 0.8347677 0.8204047 0.7863063 0.9297411
LQHP_3.5 0.8835106 0.8185843 0.8201500 0.8171305 0.8084017 0.798
|
Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and