Computes the correlation matrix among a set of predictors, orders the correlation matrix according to a user-defined preference order, and removes variables one by one, taking into account the preference order, until the remaining ones are below a given Pearson correlation threshold. Warning: variables in preference.order not in colnames(x), and non-numeric columns are removed silently from x and preference.order. The same happens with rows having NA values (na.omit() is applied). The function issues a warning if zero-variance columns are found.
Arguments
- x
A data frame with predictors, or the result of
auto_vif()Default:NULL.- preference.order
Character vector indicating the user's order of preference to keep variables. Doesn't need to contain If not provided, variables in
xare prioritised by their column order. Default:NULL.- cor.threshold
Numeric between 0 and 1, with recommended values between 0.5 and 0.9. Maximum Pearson correlation between any pair of the selected variables. Default:
0.50- verbose
Logical. if
TRUE, describes the function operations to the user. Default::TRUE
Value
List with three slots:
cor: correlation matrix of the selected variables.selected.variables: character vector with the names of the selected variables.selected.variables.df: data frame with the selected variables.
Details
Can be chained together with auto_vif() through pipes, see the examples below.
Examples
#load data
data(plant_richness_df)
#on a data frame
out <- auto_cor(x = plant_richness_df[, 5:21])
#> [auto_cor()]: Removed variables: human_footprint_average, human_population
#getting the correlation matrix
out$cor
#> bias_area_km2 bias_species_per_record
#> bias_area_km2 1.00 -0.21
#> bias_species_per_record -0.21 1.00
#> climate_aridity_index_average 0.05 -0.19
#> climate_hypervolume 0.01 -0.03
#> climate_velocity_lgm_average 0.25 -0.30
#> neighbors_count 0.26 -0.05
#> neighbors_percent_shared_edge 0.05 -0.04
#> human_population_density -0.26 -0.04
#> topography_elevation_average -0.09 -0.07
#> landcover_herbs_percent_average -0.08 -0.11
#> fragmentation_cohesion 0.28 -0.23
#> fragmentation_division -0.25 0.00
#> neighbors_area 0.16 -0.07
#> climate_bio1_average -0.21 0.37
#> climate_bio15_minimum -0.19 0.08
#> climate_aridity_index_average
#> bias_area_km2 0.05
#> bias_species_per_record -0.19
#> climate_aridity_index_average 1.00
#> climate_hypervolume -0.16
#> climate_velocity_lgm_average 0.10
#> neighbors_count -0.16
#> neighbors_percent_shared_edge 0.29
#> human_population_density 0.10
#> topography_elevation_average 0.28
#> landcover_herbs_percent_average 0.42
#> fragmentation_cohesion 0.11
#> fragmentation_division 0.01
#> neighbors_area -0.22
#> climate_bio1_average -0.12
#> climate_bio15_minimum 0.32
#> climate_hypervolume
#> bias_area_km2 0.01
#> bias_species_per_record -0.03
#> climate_aridity_index_average -0.16
#> climate_hypervolume 1.00
#> climate_velocity_lgm_average -0.22
#> neighbors_count 0.13
#> neighbors_percent_shared_edge -0.06
#> human_population_density -0.05
#> topography_elevation_average 0.36
#> landcover_herbs_percent_average -0.19
#> fragmentation_cohesion -0.03
#> fragmentation_division 0.18
#> neighbors_area 0.25
#> climate_bio1_average -0.09
#> climate_bio15_minimum -0.08
#> climate_velocity_lgm_average neighbors_count
#> bias_area_km2 0.25 0.26
#> bias_species_per_record -0.30 -0.05
#> climate_aridity_index_average 0.10 -0.16
#> climate_hypervolume -0.22 0.13
#> climate_velocity_lgm_average 1.00 -0.11
#> neighbors_count -0.11 1.00
#> neighbors_percent_shared_edge -0.03 0.16
#> human_population_density -0.07 -0.08
#> topography_elevation_average -0.27 0.09
#> landcover_herbs_percent_average 0.19 -0.14
#> fragmentation_cohesion 0.17 -0.04
#> fragmentation_division -0.13 0.00
#> neighbors_area -0.07 0.08
#> climate_bio1_average -0.27 0.20
#> climate_bio15_minimum -0.28 -0.08
#> neighbors_percent_shared_edge
#> bias_area_km2 0.05
#> bias_species_per_record -0.04
#> climate_aridity_index_average 0.29
#> climate_hypervolume -0.06
#> climate_velocity_lgm_average -0.03
#> neighbors_count 0.16
#> neighbors_percent_shared_edge 1.00
#> human_population_density -0.16
#> topography_elevation_average 0.22
#> landcover_herbs_percent_average 0.07
#> fragmentation_cohesion 0.26
#> fragmentation_division -0.19
#> neighbors_area -0.01
#> climate_bio1_average 0.19
#> climate_bio15_minimum 0.12
#> human_population_density
#> bias_area_km2 -0.26
#> bias_species_per_record -0.04
#> climate_aridity_index_average 0.10
#> climate_hypervolume -0.05
#> climate_velocity_lgm_average -0.07
#> neighbors_count -0.08
#> neighbors_percent_shared_edge -0.16
#> human_population_density 1.00
#> topography_elevation_average -0.04
#> landcover_herbs_percent_average 0.26
#> fragmentation_cohesion -0.29
#> fragmentation_division 0.14
#> neighbors_area -0.21
#> climate_bio1_average 0.26
#> climate_bio15_minimum 0.12
#> topography_elevation_average
#> bias_area_km2 -0.09
#> bias_species_per_record -0.07
#> climate_aridity_index_average 0.28
#> climate_hypervolume 0.36
#> climate_velocity_lgm_average -0.27
#> neighbors_count 0.09
#> neighbors_percent_shared_edge 0.22
#> human_population_density -0.04
#> topography_elevation_average 1.00
#> landcover_herbs_percent_average -0.10
#> fragmentation_cohesion -0.02
#> fragmentation_division 0.17
#> neighbors_area 0.02
#> climate_bio1_average -0.27
#> climate_bio15_minimum 0.07
#> landcover_herbs_percent_average
#> bias_area_km2 -0.08
#> bias_species_per_record -0.11
#> climate_aridity_index_average 0.42
#> climate_hypervolume -0.19
#> climate_velocity_lgm_average 0.19
#> neighbors_count -0.14
#> neighbors_percent_shared_edge 0.07
#> human_population_density 0.26
#> topography_elevation_average -0.10
#> landcover_herbs_percent_average 1.00
#> fragmentation_cohesion 0.01
#> fragmentation_division 0.00
#> neighbors_area -0.14
#> climate_bio1_average 0.02
#> climate_bio15_minimum 0.17
#> fragmentation_cohesion fragmentation_division
#> bias_area_km2 0.28 -0.25
#> bias_species_per_record -0.23 0.00
#> climate_aridity_index_average 0.11 0.01
#> climate_hypervolume -0.03 0.18
#> climate_velocity_lgm_average 0.17 -0.13
#> neighbors_count -0.04 0.00
#> neighbors_percent_shared_edge 0.26 -0.19
#> human_population_density -0.29 0.14
#> topography_elevation_average -0.02 0.17
#> landcover_herbs_percent_average 0.01 0.00
#> fragmentation_cohesion 1.00 -0.32
#> fragmentation_division -0.32 1.00
#> neighbors_area 0.09 0.06
#> climate_bio1_average -0.17 -0.15
#> climate_bio15_minimum -0.02 0.08
#> neighbors_area climate_bio1_average
#> bias_area_km2 0.16 -0.21
#> bias_species_per_record -0.07 0.37
#> climate_aridity_index_average -0.22 -0.12
#> climate_hypervolume 0.25 -0.09
#> climate_velocity_lgm_average -0.07 -0.27
#> neighbors_count 0.08 0.20
#> neighbors_percent_shared_edge -0.01 0.19
#> human_population_density -0.21 0.26
#> topography_elevation_average 0.02 -0.27
#> landcover_herbs_percent_average -0.14 0.02
#> fragmentation_cohesion 0.09 -0.17
#> fragmentation_division 0.06 -0.15
#> neighbors_area 1.00 -0.32
#> climate_bio1_average -0.32 1.00
#> climate_bio15_minimum -0.19 0.20
#> climate_bio15_minimum
#> bias_area_km2 -0.19
#> bias_species_per_record 0.08
#> climate_aridity_index_average 0.32
#> climate_hypervolume -0.08
#> climate_velocity_lgm_average -0.28
#> neighbors_count -0.08
#> neighbors_percent_shared_edge 0.12
#> human_population_density 0.12
#> topography_elevation_average 0.07
#> landcover_herbs_percent_average 0.17
#> fragmentation_cohesion -0.02
#> fragmentation_division 0.08
#> neighbors_area -0.19
#> climate_bio1_average 0.20
#> climate_bio15_minimum 1.00
#getting the names of the selected variables
out$selected.variables
#> [1] "bias_area_km2" "bias_species_per_record"
#> [3] "climate_aridity_index_average" "climate_hypervolume"
#> [5] "climate_velocity_lgm_average" "neighbors_count"
#> [7] "neighbors_percent_shared_edge" "human_population_density"
#> [9] "topography_elevation_average" "landcover_herbs_percent_average"
#> [11] "fragmentation_cohesion" "fragmentation_division"
#> [13] "neighbors_area" "climate_bio1_average"
#> [15] "climate_bio15_minimum"
#getting the data frame of selected variables
out$selected.variables.df
#> bias_area_km2 bias_species_per_record climate_aridity_index_average
#> 1 268444.41 0.26999949 -1.2716303854
#> 2 26658.41 0.14566151 0.0127943355
#> 3 140062.77 0.12185540 0.0507004936
#> 4 31915.27 0.16253423 -0.5790479662
#> 5 716681.87 0.24753995 -0.5103337768
#> 6 173261.40 0.42045103 -0.7553770401
#> 7 176760.37 0.29175218 -1.1868647692
#> 8 73432.58 0.01940485 0.0257830287
#> 9 53257.22 0.08605876 0.5381950568
#> 10 166117.47 0.03632843 0.1424535541
#> 11 136416.82 0.02390174 0.2369238484
#> 12 116119.48 0.11025920 0.0877228008
#> 13 985868.20 0.04898379 0.3210548085
#> 14 291595.25 0.10769125 0.3214764090
#> 15 16274.44 0.07423078 -1.3946630374
#> 16 216444.73 0.07567577 0.6115659931
#> 17 110909.70 0.03684564 0.7700712777
#> 18 283434.82 0.04206980 0.8458100231
#> 19 40894.36 0.27802890 -0.1177115899
#> 20 11322.30 0.61412535 0.3601150632
#> 21 114506.36 0.25006259 -0.8785483537
#> 22 42281.63 0.10295508 0.3984433549
#> 23 375786.61 0.32335830 -0.1843328579
#> 24 70911.47 0.08497746 0.6355599572
#> 25 50824.39 0.21235772 -0.0221485750
#> 26 62246.60 0.08324149 0.5158989394
#> 27 52636.03 0.08574403 0.3103506290
#> 28 17152.70 0.15843123 -0.0418090454
#> 29 64308.40 0.13279850 -2.9168720413
#> 30 426273.53 0.07051157 0.3979319674
#> 31 116566.89 0.20345028 0.8938363744
#> 32 29175.96 0.09106981 -0.7062446359
#> 33 13973.63 0.16720646 0.2934527589
#> 34 21339.27 0.26121225 0.1519161540
#> 35 786789.49 0.11315001 0.6397277966
#> 36 59194.75 0.06182130 0.7250634518
#> 37 21906.59 0.35031940 0.3415329605
#> 38 73237.67 0.04994119 -0.0391367701
#> 39 334353.63 0.15325452 0.5437701939
#> 40 121628.40 0.18534604 0.4122030689
#> 41 77510.82 0.06448269 -2.1793345477
#> 42 176756.95 0.07787431 0.5604486890
#> 43 719348.38 0.04488798 0.7021127167
#> 44 58854.04 0.05131881 -0.4453444785
#> 45 125090.58 0.14032163 0.7344049653
#> 46 83923.25 0.08423058 0.7522473879
#> 47 15445.86 0.36812242 0.4677542499
#> 48 18853.79 0.29858233 -0.6433317885
#> 49 82919.54 0.06419834 0.4395215193
#> 50 181485.32 0.02965135 0.0166470395
#> 51 75157.29 0.16763025 0.5594727084
#> 52 193188.18 0.05353752 0.7949625892
#> 53 104683.52 0.11631485 0.3094239178
#> 54 152131.92 0.05022552 0.1601891041
#> 55 50032.57 0.14334334 0.5377123683
#> 56 482878.52 0.10623593 0.0167118848
#> 57 36181.11 0.03739477 -0.8140530153
#> 58 30084.63 0.59342165 0.3693883735
#> 59 16869.89 0.67481884 0.5157812455
#> 60 160605.05 0.06503773 0.5521820854
#> 61 100078.95 0.12486575 0.6969731205
#> 62 13460.91 0.68321839 -0.9117364324
#> 63 110941.51 0.06913090 0.0739867172
#> 64 487149.08 0.05089913 0.7826876240
#> 65 106390.98 0.04015193 0.2176141519
#> 66 22597.10 0.18958823 0.2533395830
#> 67 229241.63 0.15333187 0.1446014534
#> 68 26050.19 0.11493021 0.4266491844
#> 69 757985.10 0.07020069 -0.3697941091
#> 70 334384.46 0.01494247 -0.3867990122
#> 71 166931.18 0.23327696 -1.5067082052
#> 72 373301.34 0.08204084 0.0617059466
#> 73 185961.88 0.19263237 0.0464329846
#> 74 298731.10 0.20122063 0.5714216350
#> 75 224486.27 0.01979116 0.9115250539
#> 76 17257.03 0.47293447 0.2487084701
#> 77 26865.37 0.27291218 0.0387301392
#> 78 24879.27 0.55532234 0.2556884292
#> 79 15909.14 0.79890311 0.6283561840
#> 80 90734.78 0.04472745 0.4055198567
#> 81 88305.00 0.38799662 -0.6931539250
#> 82 757037.38 0.08827487 0.1872645851
#> 83 19548.73 0.28145695 -0.1714685189
#> 84 35270.64 0.07085681 -0.4227367838
#> 85 19839.80 0.02362360 0.7447566727
#> 86 130340.64 0.09671376 0.5554249399
#> 87 74963.87 0.03180614 0.6888179667
#> 88 50902.51 0.16257378 0.7693491921
#> 89 77590.46 0.06542356 0.9222070025
#> 90 569723.86 0.06783180 0.4405916040
#> 91 71970.90 0.02194105 0.6516879259
#> 92 59123.00 0.22021661 0.6590095064
#> 93 36257.31 0.08695845 -0.4198317041
#> 94 92025.55 0.04638676 0.4393177330
#> 95 265071.99 0.23771800 -0.4120784979
#> 96 163311.42 0.02587693 0.0146850911
#> 97 90229.21 0.13475333 -0.1277245389
#> 98 114442.97 0.23139265 -0.5685699606
#> 99 104609.50 0.08633662 -0.3117495592
#> 100 17501.64 0.19297528 0.0370464812
#> 101 290094.13 0.01945033 0.1706746778
#> 102 200931.92 0.18995248 -1.0050311852
#> 103 110922.07 0.09314378 -1.4034835180
#> 104 254932.08 0.30469162 0.9015033641
#> 105 145701.61 0.02230898 0.6122846111
#> 106 124778.26 0.23771514 0.8205451575
#> 107 68946.45 0.09487920 0.2555899680
#> 108 76440.03 0.21906304 -0.3239321422
#> 109 229765.95 0.18060115 0.1798098843
#> 110 10010.92 0.57456979 0.0689543579
#> 111 241492.72 0.54671752 -1.1008847081
#> 112 274962.61 0.06388703 0.6113945339
#> 113 31477.42 0.20769511 0.5451430543
#> 114 73305.10 0.71480804 -2.1105199214
#> 115 215673.21 0.09930278 -0.3088407756
#> 116 153509.73 0.14485697 -0.0007581698
#> 117 132682.39 0.12455126 0.8115460835
#> 118 22752.78 0.58028042 -0.1087672761
#> 119 14281.62 0.39203114 0.3061753234
#> 120 153598.34 0.11534484 0.5166346536
#> 121 10240.73 0.10126949 -2.4633304976
#> 122 104598.33 0.10266095 -0.4799918924
#> 123 239107.65 0.06777545 0.4249585611
#> 124 46490.21 0.08789049 0.8276414851
#> 125 398565.02 0.08804738 0.4016733002
#> 126 50675.18 0.26044455 -0.6941613772
#> 127 335099.35 0.42776247 -0.5001273045
#> 128 227944.56 0.01386310 0.1464327687
#> 129 19807.93 0.11374639 0.2465550195
#> 130 342466.63 0.02489777 0.3264826300
#> 131 29810.50 0.14416602 -0.2138293278
#> 132 327663.78 0.06602536 0.5362211695
#> 133 632838.64 0.17071742 0.3806373781
#> 134 248397.75 0.11412427 -0.7114256646
#> 135 60973.49 0.12447027 0.3694941444
#> 136 58358.95 0.06582663 -0.7539304858
#> 137 302976.50 0.10009087 0.3775019380
#> 138 69494.69 0.09709195 0.1666424992
#> 139 123527.23 0.05047873 0.0357706455
#> 140 298907.95 0.13327926 0.4521612994
#> 141 521305.44 0.02613643 0.1253314251
#> 142 45693.40 0.07419323 0.7129697366
#> 143 169389.09 0.06978476 0.0549710416
#> 144 77362.26 0.09513572 0.5586387525
#> 145 183358.31 0.16146425 -1.1534573214
#> 146 164641.14 0.14280543 -1.4520045759
#> 147 48358.24 0.06551202 0.0496764093
#> 148 127338.12 0.02414603 0.9375670158
#> 149 271655.92 0.06670851 -0.2268520459
#> 150 649707.75 0.05295860 0.0721969710
#> 151 16236.75 0.13643436 0.6304868957
#> 152 318861.61 0.02446230 -0.2631613996
#> 153 67773.13 0.08065998 0.1716664597
#> 154 55752.71 0.06873748 0.4303281364
#> 155 229835.86 0.20510548 -0.5554260771
#> 156 65192.10 0.07781609 0.7291237524
#> 157 67577.15 0.22776561 -0.4670335938
#> 158 14884.66 0.05314736 -0.1955651611
#> 159 141635.20 0.29329118 0.0691110591
#> 160 109305.06 0.10559856 0.0750018125
#> 161 11560.04 0.26275885 0.0972469007
#> 162 125589.15 0.48846726 -0.1253334252
#> 163 116873.79 0.23834197 0.3257608931
#> 164 501896.63 0.03511815 0.8519563237
#> 165 412314.05 0.42612242 -0.3207501470
#> 166 49623.19 0.05020705 0.4088620060
#> 167 228323.98 0.02854364 0.1975575390
#> 168 37090.47 0.36605397 0.3457599703
#> 169 27932.26 0.07685869 0.4414814491
#> 170 23536.71 0.10101620 0.9142567282
#> 171 26312.94 0.21210012 -0.0261813061
#> 172 48880.35 0.16099913 -0.5360419966
#> 173 165302.12 0.07291034 0.0061763856
#> 174 10025.28 0.30888031 -0.1356082629
#> 175 13593.30 0.03613009 -0.1109724812
#> 176 53102.71 0.03215013 0.4766512156
#> 177 78476.17 0.07275973 0.1566620652
#> 178 1910038.90 0.06082657 0.0729462302
#> 179 69481.96 0.04904414 0.3340016081
#> 180 98540.45 0.27550048 -0.3206155949
#> 181 29268.90 0.29557545 0.0781394180
#> 182 11217.85 0.14899026 -0.3149493880
#> 183 47229.79 0.15323270 0.1908441498
#> 184 129943.65 0.01758441 -0.0667539404
#> 185 145961.14 0.18632972 -0.6099835558
#> 186 68181.45 0.45807204 0.3877561568
#> 187 14298.31 0.20107296 0.2469283918
#> 188 476153.19 0.07885289 -0.3549467172
#> 189 148381.63 0.11772211 0.6680234680
#> 190 300877.74 0.04872594 0.8623110024
#> 191 114660.15 0.20788123 0.4811214425
#> 192 148595.73 0.07228536 -0.3690220023
#> 193 45813.54 0.18408854 0.1382283165
#> 194 13251.10 0.20132639 -0.0710968473
#> 195 731320.17 0.05673555 0.5692921947
#> 196 840831.04 0.07896107 0.3862417053
#> 197 32767.31 0.35828136 -0.4693435744
#> 198 746652.79 0.20904268 -0.6898058042
#> 199 465732.15 0.06017267 -0.7233045628
#> 200 106662.99 0.09965394 -1.6891760330
#> 201 95986.15 0.33282425 -1.0211376511
#> 202 576592.95 0.15358952 0.7871354243
#> 203 32877.55 0.01937964 0.8196265989
#> 204 470048.45 0.16948112 -0.5151959064
#> 205 68245.40 0.36336873 -0.2309311978
#> 206 211479.65 0.23357809 0.7470358906
#> 207 10653.46 0.12092365 -0.2295934789
#> 208 66506.18 0.52724442 -0.7637146495
#> 209 170501.13 0.19726879 0.2224934485
#> 210 28028.20 0.45095785 -0.0533345118
#> 211 14307.56 0.07434018 0.0846075451
#> 212 65744.59 0.29032258 0.2942000602
#> 213 72779.57 0.20073350 0.6294665435
#> 214 124975.11 0.19738627 0.7965648337
#> 215 104496.10 0.22546445 -0.2064642698
#> 216 250590.94 0.09872325 -1.4581724033
#> 217 28041.08 0.14145610 -0.1982222367
#> 218 352496.62 0.15300206 0.0527244317
#> 219 104903.51 0.34090909 0.9947662383
#> 220 43381.97 0.02122595 0.4566628477
#> 221 88188.19 0.02768888 0.5187454093
#> 222 353634.69 0.20000000 0.8569302124
#> 223 89449.89 0.13358349 -0.2896702597
#> 224 37383.72 0.10816270 0.6077491849
#> 225 284264.37 0.03986717 0.0906624539
#> 226 192765.94 0.23516526 -0.4060629579
#> 227 12119.70 0.47558070 0.0716723164
#> climate_hypervolume climate_velocity_lgm_average neighbors_count
#> 1 2.239650e-02 7.6806232 10
#> 2 5.219484e-01 7.9545641 13
#> 3 3.088209e-02 6.4202598 8
#> 4 6.859878e-01 0.5746547 4
#> 5 5.199463e-02 6.5561073 10
#> 6 1.471940e-03 7.6114518 8
#> 7 4.755657e-02 8.3961746 11
#> 8 1.186010e-03 37.9671501 8
#> 9 2.486002e-01 2.6838735 8
#> 10 5.731281e-04 37.6535302 4
#> 11 1.360152e-03 55.0601368 6
#> 12 4.798443e-03 62.7009742 7
#> 13 6.171026e-02 23.0235466 3
#> 14 4.056921e-02 11.7935121 7
#> 15 8.241177e-01 0.5274273 6
#> 16 1.175105e+00 1.5773627 9
#> 17 1.449891e-01 4.6696156 5
#> 18 9.332250e-02 6.9129809 9
#> 19 3.776512e-01 7.8339734 23
#> 20 2.450408e-01 0.4032351 4
#> 21 5.258304e-02 7.9524537 7
#> 22 4.955371e-02 1.7982802 9
#> 23 2.997008e-01 7.1952532 16
#> 24 3.980607e-02 2.7210456 6
#> 25 2.548104e-03 1.6757738 2
#> 26 5.376161e-02 1.0560376 8
#> 27 1.566726e-01 3.8666826 6
#> 28 7.843993e-04 8.9568103 3
#> 29 8.078296e-01 1.4099076 5
#> 30 1.325586e-01 4.1462569 9
#> 31 1.872390e+00 2.2587633 6
#> 32 3.930844e-01 1.3665104 6
#> 33 3.191509e-02 1.5518278 5
#> 34 2.114209e-02 2.9142322 2
#> 35 9.912161e-01 11.4103047 11
#> 36 5.294801e-02 2.4012019 8
#> 37 7.344640e-02 8.2848398 7
#> 38 7.264277e-04 25.7852876 6
#> 39 9.087898e-03 14.4684577 6
#> 40 2.723404e-03 28.9009398 7
#> 41 2.694652e+00 2.7387360 8
#> 42 2.869478e-01 4.7478310 8
#> 43 5.273329e-03 46.6850410 11
#> 44 2.024683e+00 1.3813574 13
#> 45 5.914701e-03 19.7705415 8
#> 46 3.058358e-02 9.5666048 7
#> 47 4.330270e-02 1.2787333 3
#> 48 6.335399e-03 6.0470876 2
#> 49 9.680728e-05 80.1311993 4
#> 50 4.386135e-03 36.9856061 5
#> 51 7.053471e-01 1.8774854 6
#> 52 1.165888e-02 5.1583197 9
#> 53 7.999257e-02 8.5451570 5
#> 54 4.196547e-04 58.6014619 6
#> 55 3.872480e-03 4.9763463 1
#> 56 7.859365e-01 4.6102416 9
#> 57 9.414995e-01 6.4586839 5
#> 58 4.708198e-02 3.0233783 8
#> 59 9.420060e-03 1.7033245 8
#> 60 1.049060e-01 0.4238639 5
#> 61 2.462501e-02 14.7788551 7
#> 62 1.069160e+00 4.3681112 4
#> 63 2.603740e+00 0.7683399 9
#> 64 1.991279e-02 28.1584628 10
#> 65 2.671464e-04 61.3851977 5
#> 66 2.625835e-02 4.7850492 5
#> 67 1.699619e-01 4.1432822 8
#> 68 2.115294e-02 1.2765149 7
#> 69 4.265464e-02 60.8245308 5
#> 70 5.429412e-02 33.8195433 6
#> 71 1.746538e-03 8.9599178 7
#> 72 6.773818e-03 111.0010038 5
#> 73 8.810711e+00 0.6566542 8
#> 74 1.656072e-01 11.3294704 7
#> 75 1.856004e-01 7.5844658 10
#> 76 9.596344e-03 1.8280927 3
#> 77 2.137910e-04 9.4240871 4
#> 78 4.422385e-03 2.7074289 7
#> 79 1.151919e-02 2.2277816 9
#> 80 5.312340e-02 41.9176301 7
#> 81 1.239203e-02 8.8247400 7
#> 82 5.038448e-03 96.5410526 6
#> 83 2.508229e-02 1.5430420 4
#> 84 3.034455e+00 2.7938636 7
#> 85 1.358764e-01 1.4458116 7
#> 86 2.427309e-02 1.7665413 7
#> 87 1.459974e-03 25.2995853 7
#> 88 1.912472e-02 4.7851742 4
#> 89 2.507706e-02 4.3793188 4
#> 90 1.098863e-03 65.3000194 9
#> 91 4.526959e-01 2.5244488 8
#> 92 1.139500e-05 60.2972558 4
#> 93 1.120792e-04 59.3987740 1
#> 94 6.668017e-01 1.0483260 12
#> 95 1.569100e-02 5.8180473 6
#> 96 3.639902e-02 20.5050698 6
#> 97 1.548429e+00 1.5925105 10
#> 98 7.725801e-01 3.6290548 7
#> 99 4.852453e-01 3.2194331 7
#> 100 5.967099e-03 4.1849044 3
#> 101 9.070258e-03 73.9127130 8
#> 102 5.013956e-02 7.3851410 10
#> 103 2.359423e+00 2.2171874 8
#> 104 1.225876e+00 2.6013393 9
#> 105 3.561868e-01 3.5226271 4
#> 106 4.397401e+00 0.6385759 7
#> 107 2.405072e-01 4.2979852 9
#> 108 9.287463e-02 3.5938309 8
#> 109 6.701044e-02 7.9687636 7
#> 110 1.513258e-03 10.7844611 4
#> 111 3.993050e-03 8.3250137 6
#> 112 9.102071e-03 51.6964926 7
#> 113 4.573805e-02 3.1254481 7
#> 114 1.519624e+00 2.7066800 7
#> 115 5.686787e-02 3.5617280 5
#> 116 5.266148e-02 2.5880859 7
#> 117 1.935914e-02 9.4437689 8
#> 118 3.774667e-02 2.6721517 7
#> 119 5.622235e-02 0.9684745 6
#> 120 5.626160e-02 1.2778125 6
#> 121 9.332185e-02 2.0649351 23
#> 122 1.347469e+00 0.7581930 8
#> 123 6.991520e-02 3.0069566 5
#> 124 1.676049e-03 8.1374387 5
#> 125 1.555274e-02 12.2832079 3
#> 126 1.369489e+00 0.9241383 8
#> 127 8.758337e-03 5.7287818 6
#> 128 5.608676e-04 69.7016772 7
#> 129 9.143314e-05 11.4204896 2
#> 130 2.935278e-03 68.9793299 10
#> 131 7.979130e-01 0.3457548 9
#> 132 3.896602e-03 66.5743678 8
#> 133 2.870545e-03 57.3104259 5
#> 134 1.099550e+01 2.1145294 5
#> 135 2.241888e-01 0.7073146 5
#> 136 5.096445e-01 2.6761401 9
#> 137 3.765177e-02 1.9147834 7
#> 138 9.493913e-04 42.0312805 5
#> 139 2.149745e-04 52.1803117 5
#> 140 2.432379e-03 42.2270531 8
#> 141 6.274650e-02 38.5478438 11
#> 142 6.811879e-02 2.2690141 6
#> 143 5.311684e-02 2.9330674 7
#> 144 3.338295e-01 2.7978029 7
#> 145 2.038813e-02 8.9495744 9
#> 146 1.162939e+00 2.8036205 3
#> 147 9.682955e-01 0.5301029 6
#> 148 7.394961e-02 2.5834666 10
#> 149 3.264208e-03 89.3225010 5
#> 150 1.467677e-01 11.8609379 2
#> 151 2.525423e-03 4.4849380 6
#> 152 4.306057e-03 53.4883893 4
#> 153 7.674353e-01 1.8774726 13
#> 154 1.187870e-03 52.0041772 6
#> 155 9.454279e-01 3.1521723 9
#> 156 8.504699e-01 2.4287331 8
#> 157 1.929535e+00 0.6485040 14
#> 158 2.198066e-03 3.3012976 4
#> 159 1.562569e-02 7.6408802 5
#> 160 3.160985e-01 6.9848130 5
#> 161 1.207173e-01 0.6981948 3
#> 162 2.833790e-03 11.7657644 5
#> 163 1.936509e+00 0.9296468 9
#> 164 2.581637e-01 8.5365276 11
#> 165 2.875093e-02 6.8928016 5
#> 166 4.954082e-04 9.5640674 2
#> 167 2.190586e-03 71.6664821 8
#> 168 7.951201e-04 11.5345396 4
#> 169 1.889535e-05 57.8646859 3
#> 170 1.246796e-02 1.9435818 2
#> 171 1.606278e-01 2.7318296 8
#> 172 2.676865e-01 0.3341569 3
#> 173 2.273859e+00 0.8570702 10
#> 174 9.653170e-01 7.5051652 10
#> 175 2.160291e-01 1.3019959 3
#> 176 1.493072e+00 1.0771377 8
#> 177 2.428020e-03 41.9190963 4
#> 178 9.901857e-01 5.8356660 15
#> 179 2.306580e-03 8.2760100 4
#> 180 2.255065e-02 6.4977504 2
#> 181 3.847286e-01 0.5768164 9
#> 182 2.730532e-01 1.5865600 5
#> 183 1.731676e-03 1.3867414 2
#> 184 5.824422e-04 56.4209822 7
#> 185 1.322643e+00 1.7110838 8
#> 186 4.671248e-02 3.6837349 7
#> 187 4.362546e-01 0.6750060 5
#> 188 3.180099e-01 8.2409720 9
#> 189 5.258223e+00 1.6129880 4
#> 190 6.779156e-02 4.8494755 7
#> 191 9.199065e-02 6.0571316 3
#> 192 1.204921e+00 4.5188011 12
#> 193 1.830210e-01 1.9483112 3
#> 194 1.613984e+00 0.5525526 7
#> 195 5.967420e-01 5.0957915 11
#> 196 2.078033e-02 35.6693915 6
#> 197 2.629848e-03 15.6715562 1
#> 198 1.241828e+00 8.3601713 15
#> 199 1.076727e-01 31.9901825 5
#> 200 3.941271e+00 0.5863633 9
#> 201 8.951184e-02 6.7049445 10
#> 202 1.435888e+00 5.7465216 5
#> 203 1.187228e-01 2.9718212 5
#> 204 4.391312e-02 4.4451627 15
#> 205 2.377078e-01 5.6144634 6
#> 206 3.521232e+00 1.3312880 9
#> 207 4.181033e-01 1.3567629 5
#> 208 7.090328e-03 6.0215020 11
#> 209 2.491969e-03 12.3693941 4
#> 210 1.806785e-03 10.6048861 6
#> 211 1.644595e-04 62.8908724 2
#> 212 2.134371e-03 5.7830641 2
#> 213 1.120936e+00 0.9930119 6
#> 214 1.926802e-01 2.4374918 8
#> 215 5.849207e-01 5.2723418 8
#> 216 1.508174e-01 6.6792412 9
#> 217 1.447352e-02 0.9100499 4
#> 218 3.735033e-02 6.8103787 7
#> 219 1.556523e-01 2.2366045 2
#> 220 1.802544e-04 51.1296640 6
#> 221 9.893565e-04 49.7340935 8
#> 222 7.631664e-02 8.9566669 5
#> 223 6.476824e-01 2.9545694 7
#> 224 1.164431e-03 2.2650693 6
#> 225 9.464669e-01 5.1587595 12
#> 226 1.863422e-02 6.5401383 6
#> 227 2.234370e-01 0.3851318 4
#> neighbors_percent_shared_edge human_population_density
#> 1 100.000000 7.067530e+00
#> 2 56.460952 4.259089e+01
#> 3 100.000000 8.711942e-01
#> 4 35.484733 2.188202e+02
#> 5 100.000000 3.046001e+00
#> 6 100.000000 7.522835e-01
#> 7 100.000000 1.873033e+00
#> 8 47.890036 5.065112e+02
#> 9 100.000000 4.729405e+00
#> 10 100.000000 1.212703e+02
#> 11 79.858054 4.589715e+01
#> 12 46.162611 2.124766e+01
#> 13 21.635656 1.520405e-02
#> 14 100.000000 2.079175e+01
#> 15 100.000000 2.882446e+01
#> 16 100.000000 7.123975e+00
#> 17 100.000000 4.459793e+00
#> 18 100.000000 8.163856e+00
#> 19 28.090053 6.742087e+01
#> 20 83.609315 2.968182e+01
#> 21 100.000000 7.690601e+00
#> 22 71.433555 9.651158e+01
#> 23 97.158772 1.272907e+01
#> 24 100.000000 3.227589e+00
#> 25 59.046466 4.058878e-02
#> 26 95.672280 7.392678e+01
#> 27 100.000000 1.033593e+01
#> 28 90.947651 1.150540e+02
#> 29 17.201679 5.456477e-01
#> 30 97.981149 3.044629e-01
#> 31 100.000000 4.275523e+00
#> 32 49.313888 3.962770e+01
#> 33 91.808633 1.248848e+02
#> 34 62.693922 9.560473e+01
#> 35 100.000000 6.374031e+00
#> 36 100.000000 4.987920e+02
#> 37 18.330405 1.007247e+02
#> 38 100.000000 2.762885e+01
#> 39 97.919391 2.013388e-02
#> 40 99.677135 7.228611e-01
#> 41 27.036256 3.922398e+00
#> 42 100.000000 1.311148e+00
#> 43 99.958158 2.910773e+00
#> 44 100.000000 3.229504e+00
#> 45 99.674539 5.022790e+01
#> 46 100.000000 1.614909e+01
#> 47 60.111309 3.570685e+02
#> 48 90.219166 1.084878e+01
#> 49 100.000000 1.743569e+01
#> 50 100.000000 4.010347e+01
#> 51 100.000000 3.021214e+01
#> 52 94.423833 7.913527e+00
#> 53 100.000000 6.948382e-01
#> 54 100.000000 2.818651e+01
#> 55 28.153772 9.575111e-02
#> 56 99.108618 5.663170e+01
#> 57 30.873512 2.154878e+02
#> 58 91.751866 5.885775e+01
#> 59 77.280905 6.252848e+01
#> 60 100.000000 3.926267e-03
#> 61 100.000000 1.504999e+01
#> 62 17.855335 8.897122e+01
#> 63 93.349699 1.917692e+02
#> 64 100.000000 1.427195e+01
#> 65 100.000000 2.874167e+01
#> 66 88.106474 1.644764e+02
#> 67 98.717492 5.954483e+01
#> 68 71.117575 8.288679e+01
#> 69 51.257224 2.005590e-02
#> 70 37.360709 1.560602e+01
#> 71 100.000000 1.136287e+00
#> 72 53.330742 1.876627e-02
#> 73 98.254765 2.798093e+01
#> 74 85.462569 1.586956e+01
#> 75 81.747619 4.780863e+01
#> 76 100.000000 3.677608e-04
#> 77 100.000000 2.202166e+01
#> 78 54.079237 8.452252e+01
#> 79 72.639195 7.806738e+01
#> 80 28.977441 1.242393e+02
#> 81 51.263265 6.594613e+00
#> 82 89.205757 1.493618e-01
#> 83 100.000000 8.694285e+01
#> 84 100.000000 2.136828e+00
#> 85 100.000000 8.846508e+00
#> 86 76.172965 8.267559e-03
#> 87 100.000000 2.108700e+01
#> 88 85.990476 3.481450e+01
#> 89 39.204502 3.333339e+00
#> 90 99.155769 1.498040e+00
#> 91 81.957206 1.236311e+02
#> 92 100.000000 4.334093e-01
#> 93 36.962840 1.671226e+01
#> 94 93.055881 1.796076e+02
#> 95 99.629791 5.000605e+00
#> 96 99.997176 6.981453e+01
#> 97 100.000000 1.144777e+01
#> 98 91.678333 9.626972e+00
#> 99 64.252108 4.392674e+02
#> 100 82.902803 1.664921e+02
#> 101 46.953376 6.461091e+00
#> 102 100.000000 1.306479e+00
#> 103 57.126695 7.768423e-01
#> 104 99.394156 4.993488e+00
#> 105 100.000000 4.260417e+00
#> 106 100.000000 5.498843e+00
#> 107 67.520028 7.888139e+01
#> 108 80.436178 7.661486e+01
#> 109 100.000000 1.347130e+01
#> 110 65.606223 4.133825e+01
#> 111 100.000000 6.382281e-01
#> 112 100.000000 1.373903e+01
#> 113 56.361946 2.479114e+02
#> 114 22.231819 1.919390e+01
#> 115 100.000000 4.818734e+01
#> 116 40.539482 1.611343e-01
#> 117 100.000000 2.102444e+00
#> 118 100.000000 5.942114e+01
#> 119 83.798500 2.896548e+02
#> 120 100.000000 2.187584e-02
#> 121 0.000000 1.578123e-01
#> 122 99.127699 1.813736e+02
#> 123 100.000000 1.601787e-01
#> 124 100.000000 1.534856e+02
#> 125 67.539599 5.761758e+01
#> 126 100.000000 1.214838e+00
#> 127 89.372703 2.239847e+00
#> 128 66.109439 1.409953e+02
#> 129 64.859911 2.982786e+02
#> 130 100.000000 2.917443e+01
#> 131 35.512378 2.305509e+02
#> 132 99.940243 1.052649e+01
#> 133 99.834869 3.574383e-02
#> 134 27.842925 3.137796e+01
#> 135 99.582917 2.967977e+01
#> 136 68.953038 5.359414e+01
#> 137 99.976848 3.160847e-03
#> 138 100.000000 2.172091e+01
#> 139 100.000000 6.499304e+01
#> 140 97.123166 6.194832e-02
#> 141 48.706059 6.627537e+01
#> 142 100.000000 4.508029e+00
#> 143 100.000000 1.322723e-02
#> 144 92.443921 4.653894e+01
#> 145 100.000000 2.269284e+00
#> 146 7.224949 1.676934e+00
#> 147 99.958215 9.972716e+00
#> 148 93.946187 3.346515e+01
#> 149 93.904595 8.820671e-01
#> 150 14.330323 1.108052e-03
#> 151 100.000000 2.973103e+02
#> 152 69.391509 5.170538e+00
#> 153 76.443205 1.377583e+02
#> 154 100.000000 2.101300e+01
#> 155 100.000000 1.018963e+00
#> 156 98.360470 1.534948e+01
#> 157 99.685311 5.101807e+01
#> 158 100.000000 2.345406e+02
#> 159 90.144386 4.105283e+01
#> 160 76.359301 8.035592e+01
#> 161 100.000000 1.249371e+02
#> 162 100.000000 1.635107e+00
#> 163 70.173930 4.307912e+01
#> 164 100.000000 1.815449e+01
#> 165 100.000000 5.433341e+00
#> 166 93.642632 5.341375e+01
#> 167 92.241084 9.262330e+01
#> 168 91.641201 3.025749e+01
#> 169 100.000000 9.909972e+00
#> 170 32.358343 8.848558e+00
#> 171 100.000000 2.881512e+01
#> 172 17.244726 4.372660e-02
#> 173 93.908132 9.965068e-03
#> 174 52.791015 5.969123e+02
#> 175 48.265006 1.855268e+01
#> 176 99.755742 7.742036e+00
#> 177 16.180265 8.038380e+01
#> 178 100.000000 1.715315e+01
#> 179 87.466962 2.839292e+01
#> 180 13.177519 1.083532e-02
#> 181 72.850425 8.968644e+01
#> 182 98.370972 1.986174e+02
#> 183 40.304654 4.533693e-02
#> 184 54.253530 1.182659e+02
#> 185 100.000000 1.108341e+00
#> 186 80.902555 1.347193e+02
#> 187 61.911498 4.858257e+01
#> 188 86.851609 3.933153e+00
#> 189 67.734432 7.597569e+01
#> 190 49.132583 1.265277e+01
#> 191 100.000000 1.194199e+01
#> 192 45.941255 5.123836e+01
#> 193 71.005389 3.679823e+02
#> 194 96.256414 2.131328e+02
#> 195 87.896707 3.324914e+01
#> 196 36.322246 7.423257e-03
#> 197 26.803337 0.000000e+00
#> 198 100.000000 3.601608e+00
#> 199 35.217640 1.487254e+00
#> 200 88.840479 4.825528e-01
#> 201 100.000000 2.492766e-01
#> 202 47.975169 1.714906e+00
#> 203 44.619467 7.098489e+02
#> 204 89.511057 2.998363e+00
#> 205 100.000000 2.918352e+01
#> 206 85.549384 1.168993e+01
#> 207 76.319498 3.168092e+02
#> 208 100.000000 1.350252e+01
#> 209 100.000000 6.497704e-01
#> 210 68.720367 1.052827e+01
#> 211 12.582207 3.720353e+02
#> 212 58.261691 1.107164e+02
#> 213 100.000000 2.938660e+01
#> 214 100.000000 2.444324e+01
#> 215 99.092943 1.125493e+01
#> 216 74.059249 6.430645e+00
#> 217 60.183899 1.061018e+01
#> 218 58.111737 2.658240e+01
#> 219 67.527633 8.751989e+00
#> 220 100.000000 2.135995e+02
#> 221 100.000000 5.060978e+01
#> 222 84.329711 9.602440e+00
#> 223 90.095776 4.540722e+01
#> 224 100.000000 3.924926e+02
#> 225 99.991520 4.306678e+00
#> 226 81.609567 3.195127e+01
#> 227 66.256650 3.523771e+01
#> topography_elevation_average landcover_herbs_percent_average
#> 1 86.807776 16.223727
#> 2 6.921187 53.902069
#> 3 1130.220919 42.666303
#> 4 1872.903223 54.366171
#> 5 166.793692 28.215720
#> 6 86.900413 18.407895
#> 7 94.542140 20.600124
#> 8 112.525613 56.489695
#> 9 1391.061536 62.700565
#> 10 206.654638 49.474901
#> 11 323.807573 77.224421
#> 12 43.289214 73.989377
#> 13 167.332634 40.315397
#> 14 81.805806 72.810742
#> 15 1427.258150 35.517388
#> 16 1960.057489 63.888319
#> 17 1953.796170 61.768554
#> 18 1851.540445 37.249677
#> 19 13.738971 50.028764
#> 20 1656.908162 63.942104
#> 21 151.264076 27.676222
#> 22 416.363372 64.302555
#> 23 123.679576 74.070689
#> 24 1304.555442 64.305894
#> 25 276.290219 81.846928
#> 26 953.071280 72.524579
#> 27 1263.323768 43.438245
#> 28 8.300990 69.398841
#> 29 310.213494 43.770957
#> 30 242.010711 66.533053
#> 31 1823.716223 29.906909
#> 32 325.770016 60.368046
#> 33 766.871374 65.693063
#> 34 251.476334 52.783377
#> 35 326.333547 67.980252
#> 36 2072.633318 71.004532
#> 37 14.555056 54.094062
#> 38 476.299492 43.271390
#> 39 249.406218 66.245434
#> 40 952.472208 36.707208
#> 41 344.643460 31.566829
#> 42 2132.247390 53.647310
#> 43 819.644191 67.932441
#> 44 1136.259566 39.722377
#> 45 236.795181 75.395633
#> 46 556.718908 69.311372
#> 47 214.777784 76.961496
#> 48 38.364995 54.986621
#> 49 290.207137 83.433097
#> 50 406.215055 43.163970
#> 51 1400.711360 53.383362
#> 52 1513.394963 60.364016
#> 53 1174.347204 38.004164
#> 54 83.554790 50.729569
#> 55 26.585972 59.738709
#> 56 429.299878 73.724332
#> 57 299.532230 41.638979
#> 58 182.752980 75.410475
#> 59 324.575715 68.496561
#> 60 880.363960 67.526109
#> 61 1514.582581 67.828733
#> 62 29.392918 53.089510
#> 63 1121.490981 57.483125
#> 64 1229.114121 66.581238
#> 65 293.437454 61.188520
#> 66 256.716646 80.472969
#> 67 594.561331 74.394381
#> 68 545.626216 60.613297
#> 69 376.503686 62.432911
#> 70 292.555312 34.985835
#> 71 136.602865 18.587478
#> 72 96.994227 59.384914
#> 73 2653.006651 54.849530
#> 74 198.044156 82.295192
#> 75 411.447760 38.349602
#> 76 662.364598 57.657038
#> 77 83.398369 70.693828
#> 78 169.631311 68.658014
#> 79 345.817787 67.124302
#> 80 26.409161 76.536511
#> 81 14.884765 44.547668
#> 82 326.590150 41.295951
#> 83 615.295450 71.880229
#> 84 1225.736451 43.170983
#> 85 1346.570575 62.939805
#> 86 229.551619 78.007689
#> 87 594.849297 74.128244
#> 88 398.791333 74.834136
#> 89 325.747121 35.983140
#> 90 522.498575 48.826853
#> 91 396.387591 73.477563
#> 92 938.169881 76.897389
#> 93 65.694197 39.755361
#> 94 2079.711785 65.145999
#> 95 202.521090 41.568492
#> 96 488.306681 46.886506
#> 97 1348.426618 30.450911
#> 98 572.978624 27.822596
#> 99 492.573690 54.003960
#> 100 176.099004 81.276839
#> 101 369.553757 45.220639
#> 102 134.934348 18.382454
#> 103 945.159762 47.227986
#> 104 4003.668454 16.009346
#> 105 2693.598732 59.213555
#> 106 3574.737972 9.788206
#> 107 234.900109 71.759848
#> 108 85.577510 67.305529
#> 109 302.762288 47.712284
#> 110 33.475637 68.244339
#> 111 108.954964 16.621421
#> 112 540.872263 81.779956
#> 113 100.237588 69.824155
#> 114 152.824062 41.397078
#> 115 803.474007 60.375641
#> 116 54.113890 73.462976
#> 117 1967.815285 41.769796
#> 118 210.888034 59.152323
#> 119 763.458671 46.558523
#> 120 727.694170 68.189082
#> 121 214.412772 30.326842
#> 122 1657.216280 52.065505
#> 123 1045.682615 54.695946
#> 124 72.648107 84.716798
#> 125 102.048222 92.355817
#> 126 1034.723608 24.006604
#> 127 229.041039 26.627081
#> 128 262.918560 83.846355
#> 129 7.094958 71.621534
#> 130 322.786356 91.709020
#> 131 3636.370113 64.043536
#> 132 570.836565 81.771502
#> 133 326.176512 62.403529
#> 134 811.129283 43.082973
#> 135 1569.788168 56.958721
#> 136 181.704771 50.583838
#> 137 1048.267275 65.536283
#> 138 259.489274 57.921241
#> 139 225.393611 64.882793
#> 140 425.184114 45.744428
#> 141 72.052453 58.038238
#> 142 2447.768514 64.571150
#> 143 1340.588616 56.167993
#> 144 541.474772 67.019423
#> 145 215.549196 20.943629
#> 146 407.923024 44.920689
#> 147 924.198425 48.670083
#> 148 926.776061 20.867858
#> 149 328.857383 44.654624
#> 150 470.263321 4.820302
#> 151 431.001386 76.703833
#> 152 371.703302 34.912593
#> 153 245.578560 70.432567
#> 154 119.191348 77.368784
#> 155 278.685254 22.742541
#> 156 1659.837971 63.792249
#> 157 1496.231544 46.637674
#> 158 142.567219 60.925732
#> 159 126.137710 66.429928
#> 160 262.120861 69.533072
#> 161 1169.204880 60.816085
#> 162 158.934782 63.077796
#> 163 4229.852154 70.181556
#> 164 1280.735160 42.949589
#> 165 311.301137 43.731679
#> 166 40.186972 38.357707
#> 167 196.062950 85.637194
#> 168 21.847969 60.656102
#> 169 387.156367 87.238996
#> 170 300.494090 46.857240
#> 171 1109.703572 69.141449
#> 172 373.292649 65.352705
#> 173 1249.825644 51.911361
#> 174 25.768493 57.730952
#> 175 339.481799 36.052634
#> 176 1909.824885 55.761632
#> 177 15.538292 54.897581
#> 178 512.292277 72.896078
#> 179 81.721458 27.444015
#> 180 699.275867 5.645067
#> 181 1354.988225 52.295420
#> 182 633.570344 51.540923
#> 183 193.061226 83.549100
#> 184 177.800821 70.670238
#> 185 615.007820 22.218280
#> 186 279.971936 65.215846
#> 187 1653.250343 53.273679
#> 188 168.116145 24.695108
#> 189 979.999842 45.280954
#> 190 1693.160799 39.428036
#> 191 554.033677 65.916986
#> 192 253.639729 52.818969
#> 193 296.026644 69.830134
#> 194 1648.818579 43.030029
#> 195 413.533995 76.223722
#> 196 218.996969 68.286950
#> 197 505.306056 53.488446
#> 198 262.359189 23.682543
#> 199 360.418078 47.021021
#> 200 999.870399 40.903057
#> 201 81.925253 23.671691
#> 202 649.910288 40.548283
#> 203 513.021334 66.960796
#> 204 175.390505 21.720816
#> 205 188.010657 69.384524
#> 206 3947.040296 37.187625
#> 207 593.402722 57.300664
#> 208 44.274583 29.477067
#> 209 132.302737 68.143937
#> 210 16.252935 32.713874
#> 211 25.563751 59.246681
#> 212 69.605866 72.563137
#> 213 2616.203894 63.395172
#> 214 1795.817785 55.389720
#> 215 322.017658 61.203098
#> 216 229.477576 23.746467
#> 217 188.827314 59.579384
#> 218 145.913351 79.929910
#> 219 1707.400839 1.738489
#> 220 161.354999 82.794221
#> 221 312.204542 78.700863
#> 222 426.610552 51.738032
#> 223 295.387069 45.995509
#> 224 1784.874049 83.387448
#> 225 1480.667143 45.886969
#> 226 92.504120 52.278769
#> 227 3628.005382 67.324923
#> fragmentation_cohesion fragmentation_division neighbors_area
#> 1 99.81169 0.9195281 2005112.54
#> 2 92.40274 0.9999953 720242.40
#> 3 99.68820 0.9690934 15661626.94
#> 4 99.34487 0.9649031 284153.95
#> 5 99.89918 0.8698819 4646036.58
#> 6 99.73477 0.9294914 2801093.14
#> 7 98.77533 0.9975155 3024412.30
#> 8 99.40405 0.9848386 1481083.84
#> 9 99.35702 0.9954807 844486.27
#> 10 99.76279 0.9281112 836525.61
#> 11 99.56957 0.9315911 1499412.63
#> 12 99.58914 0.9838775 1291909.02
#> 13 99.54499 0.9892298 1589079.24
#> 14 99.85055 0.8138679 3712894.98
#> 15 97.83302 0.9970327 206080.82
#> 16 99.37204 0.9926774 1194276.99
#> 17 99.24691 0.9771817 1624304.92
#> 18 99.83225 0.9042274 2076734.94
#> 19 95.19204 0.9999976 3157350.28
#> 20 98.76852 0.9848927 429398.35
#> 21 98.52009 0.9981487 1814601.53
#> 22 99.37682 0.9788974 516070.43
#> 23 99.84626 0.8862033 1665982.23
#> 24 99.75652 0.7858627 850244.00
#> 25 99.64497 0.7483971 579783.26
#> 26 99.47509 0.9294630 480803.37
#> 27 99.54863 0.9449946 14813416.49
#> 28 99.52070 0.7740563 244736.10
#> 29 96.97547 0.9999309 14455447.87
#> 30 99.84300 0.9427136 15358739.20
#> 31 99.67934 0.9003499 1806771.46
#> 32 99.27264 0.9658453 193179.30
#> 33 99.32924 0.8642782 326287.82
#> 34 94.81189 0.9996497 87651.18
#> 35 99.94470 0.6735879 2657093.52
#> 36 99.57147 0.9214292 744576.52
#> 37 86.00395 0.9999993 701016.68
#> 38 99.79060 0.7342025 1110501.99
#> 39 99.81371 0.9543684 2366499.81
#> 40 99.40767 0.9942206 1890090.77
#> 41 98.44816 0.9997904 453764.82
#> 42 99.17865 0.9829917 1630090.38
#> 43 99.89220 0.9125979 2900573.23
#> 44 99.06819 0.9978871 1085927.14
#> 45 99.71949 0.9291075 917105.26
#> 46 99.53231 0.9535070 731950.72
#> 47 98.02964 0.9925530 79280.17
#> 48 98.54423 0.9494544 116108.31
#> 49 99.56517 0.9791690 1323898.58
#> 50 99.67876 0.9645814 1109326.31
#> 51 98.66803 0.9934876 1532776.90
#> 52 99.81755 0.8654219 992214.87
#> 53 99.64991 0.9619620 14782237.87
#> 54 99.77461 0.8683826 463671.81
#> 55 99.27430 0.9904338 130340.64
#> 56 99.60984 0.9825771 3166858.71
#> 57 98.47788 0.9972594 297442.23
#> 58 99.49470 0.8950205 254560.14
#> 59 99.58354 0.7119329 602434.91
#> 60 99.67357 0.9854920 1347542.64
#> 61 99.29200 0.9959770 1955532.44
#> 62 93.14315 0.9999718 177114.46
#> 63 99.56969 0.9695022 455555.37
#> 64 99.84460 0.9558625 2368215.13
#> 65 99.79881 0.7945947 1277710.23
#> 66 97.71724 0.9962918 1097393.78
#> 67 99.71120 0.9465783 3397087.48
#> 68 99.23983 0.9569789 588717.98
#> 69 99.88603 0.7492328 1984287.75
#> 70 99.61137 0.9451620 941914.76
#> 71 99.79243 0.8577625 1981805.90
#> 72 99.82714 0.9051219 3260348.07
#> 73 99.48298 0.9898475 1417626.78
#> 74 99.71591 0.9560106 2247036.91
#> 75 99.76361 0.9526807 1444771.04
#> 76 99.09423 0.9722094 14466317.75
#> 77 99.59990 0.7925804 1425701.50
#> 78 99.20278 0.9004450 411513.19
#> 79 99.16748 0.9452781 629597.66
#> 80 99.46369 0.9835389 577659.84
#> 81 99.02131 0.9774976 1884529.37
#> 82 99.89609 0.9009586 2436521.84
#> 83 99.25299 0.9405592 278426.01
#> 84 99.56211 0.8712993 680038.09
#> 85 97.60431 0.9994571 633856.22
#> 86 99.61738 0.9894018 2268582.04
#> 87 99.65664 0.7657840 1576421.76
#> 88 99.38262 0.9847520 1020189.90
#> 89 99.43318 0.9942449 300740.34
#> 90 99.86912 0.9334593 3021926.71
#> 91 99.49286 0.9925438 400453.99
#> 92 99.51649 0.8117024 1823926.71
#> 93 98.86093 0.9765581 334384.46
#> 94 99.21455 0.9581354 961663.44
#> 95 99.83067 0.8066265 3408571.69
#> 96 99.67999 0.9779131 1349962.93
#> 97 99.66855 0.9356140 2805981.64
#> 98 99.66899 0.9446868 1438027.77
#> 99 99.54247 0.9790007 3226667.10
#> 100 98.87447 0.9332173 763942.56
#> 101 99.75009 0.8814828 2451171.41
#> 102 99.77377 0.9391724 1954847.68
#> 103 99.50866 0.9952759 14747360.52
#> 104 99.80754 0.8992905 1061149.80
#> 105 99.66643 0.9744772 1622614.67
#> 106 99.53006 0.9806694 1909985.64
#> 107 99.53687 0.9557747 748703.77
#> 108 99.69275 0.8586727 394195.63
#> 109 99.82666 0.8564497 4546482.53
#> 110 97.87171 0.9735927 923875.01
#> 111 99.70777 0.8603625 1598556.32
#> 112 99.76932 0.9751424 1799171.41
#> 113 98.81036 0.9827256 323557.71
#> 114 99.57014 0.9535275 277538.43
#> 115 99.83142 0.7342592 2860048.83
#> 116 98.89558 0.9961376 1022449.15
#> 117 99.74932 0.9093476 2151351.36
#> 118 98.52049 0.9820989 313211.78
#> 119 95.56858 0.9954648 545669.65
#> 120 98.94433 0.9953173 1447774.58
#> 121 98.55615 0.9918986 3261312.83
#> 122 99.67122 0.9427625 523514.68
#> 123 99.78082 0.9532083 1090174.01
#> 124 99.30429 0.9956056 331105.58
#> 125 99.84340 0.7489277 688318.19
#> 126 95.95524 0.9996739 2099199.41
#> 127 99.89576 0.7612131 2018927.53
#> 128 99.81799 0.8810807 1163028.79
#> 129 99.11402 0.9147829 543212.03
#> 130 99.82373 0.9430371 2037844.68
#> 131 94.60604 0.9999619 1021652.17
#> 132 99.75079 0.9858548 2356846.96
#> 133 99.87796 0.9295357 2604431.34
#> 134 99.57992 0.9815997 15208746.62
#> 135 98.85341 0.9780280 236902.27
#> 136 99.43973 0.9816404 437692.82
#> 137 99.81402 0.9428166 1743186.78
#> 138 99.80773 0.6460693 805297.20
#> 139 99.72030 0.9214613 1275178.78
#> 140 99.84097 0.8963208 3127055.16
#> 141 99.80853 0.9671479 1278899.13
#> 142 99.27174 0.9913824 1214278.19
#> 143 99.71007 0.9717949 15266024.52
#> 144 99.50551 0.9876414 606976.55
#> 145 99.86554 0.7058560 1671254.13
#> 146 99.36873 0.9887008 15019343.34
#> 147 99.39954 0.9859637 290070.94
#> 148 99.77535 0.8559811 1189683.11
#> 149 99.85298 0.8405735 2672917.58
#> 150 99.23596 0.9979058 1084408.65
#> 151 98.22297 0.9885798 976835.65
#> 152 99.89779 0.7142064 1157425.84
#> 153 98.60723 0.9989190 505514.26
#> 154 99.44156 0.9862500 574491.31
#> 155 99.59377 0.9494232 2188483.14
#> 156 96.57110 0.9998402 1475514.89
#> 157 99.47809 0.9883294 1287736.22
#> 158 99.05210 0.9671479 220904.22
#> 159 99.83920 0.7258767 2885030.29
#> 160 99.68513 0.8913870 1019497.12
#> 161 97.42673 0.9823324 83165.99
#> 162 99.37588 0.9386447 1849835.99
#> 163 99.23849 0.9960424 1699920.15
#> 164 99.85957 0.8961970 1779785.53
#> 165 99.57072 0.9396729 3419658.05
#> 166 99.48390 0.8427945 96140.37
#> 167 99.79986 0.9248601 1864265.27
#> 168 99.27546 0.9913425 1341387.99
#> 169 99.32194 0.9637490 705617.44
#> 170 98.66142 0.9988294 302076.73
#> 171 94.84672 0.9998435 3692079.22
#> 172 98.47448 0.9971803 383120.25
#> 173 99.65551 0.9835989 15537072.42
#> 174 90.63965 0.9999993 1949450.70
#> 175 97.96733 0.9997282 197839.96
#> 176 99.36943 0.9942542 871816.21
#> 177 98.91227 0.9944329 775163.05
#> 178 99.91341 0.8737406 4325027.51
#> 179 99.43207 0.9181178 242030.04
#> 180 99.49853 0.9793082 1635575.95
#> 181 99.44926 0.9148179 706301.42
#> 182 98.77870 0.9835728 248221.00
#> 183 99.23681 0.9811233 579783.26
#> 184 99.58122 0.9819223 1783687.16
#> 185 99.22324 0.9943071 2003913.45
#> 186 99.71375 0.8350377 521038.71
#> 187 98.66487 0.9670825 406123.00
#> 188 99.90019 0.8136324 1534030.89
#> 189 99.60479 0.9934767 733011.59
#> 190 99.86340 0.8443885 814868.49
#> 191 99.26117 0.9836587 2667672.01
#> 192 99.76374 0.9032843 620707.74
#> 193 99.19144 0.9420722 48912.49
#> 194 88.73768 0.9998357 468610.15
#> 195 99.90672 0.7794958 2632223.19
#> 196 99.70924 0.9911208 3214687.55
#> 197 99.43453 0.9211410 757985.10
#> 198 99.89474 0.9005791 3556383.46
#> 199 99.71952 0.9316662 1812830.74
#> 200 98.76137 0.9992997 14967146.01
#> 201 97.67338 0.9982996 1897017.91
#> 202 99.67925 0.9870045 15085804.47
#> 203 98.73954 0.9989446 521225.55
#> 204 99.90536 0.7804032 3258304.09
#> 205 99.28819 0.9877624 886733.39
#> 206 99.52350 0.9967386 1824068.47
#> 207 97.20513 0.9892546 282523.99
#> 208 97.57934 0.9996491 3550948.57
#> 209 99.54300 0.9150503 3218189.60
#> 210 99.10201 0.9946475 992167.12
#> 211 97.03701 0.9938494 151908.75
#> 212 99.31200 0.9907918 43245.86
#> 213 98.88795 0.9946413 1535461.51
#> 214 99.62510 0.9122479 1097299.22
#> 215 99.21922 0.9930444 1597859.33
#> 216 99.87852 0.7110089 1704637.96
#> 217 99.04032 0.8988035 14530626.15
#> 218 99.91612 0.6453289 1564413.19
#> 219 99.70629 0.9235724 403313.71
#> 220 99.08213 0.9894190 586862.05
#> 221 99.56419 0.9842294 1041086.65
#> 222 99.82216 0.9503439 1903458.70
#> 223 99.48185 0.9440337 444432.62
#> 224 99.65177 0.8045017 533324.08
#> 225 99.78085 0.9664099 2502688.00
#> 226 99.90344 0.5843230 2858259.50
#> 227 96.31311 0.9991420 428600.94
#> climate_bio1_average climate_bio15_minimum
#> 1 251.058159 13
#> 2 261.088702 25
#> 3 11.585656 17
#> 4 173.214276 16
#> 5 251.829741 31
#> 6 255.799478 28
#> 7 251.915887 10
#> 8 112.201395 5
#> 9 78.540954 26
#> 10 158.650174 7
#> 11 72.695706 17
#> 12 179.081263 9
#> 13 -134.706787 28
#> 14 220.723017 15
#> 15 181.219435 20
#> 16 153.292485 51
#> 17 122.225859 25
#> 18 110.584753 7
#> 19 267.300474 26
#> 20 189.136067 16
#> 21 251.829835 6
#> 22 251.133734 75
#> 23 261.746510 42
#> 24 74.600647 20
#> 25 -8.115295 31
#> 26 233.662145 79
#> 27 41.776835 16
#> 28 264.542892 46
#> 29 44.655226 15
#> 30 -28.648544 32
#> 31 129.071520 39
#> 32 246.125307 34
#> 33 231.484755 54
#> 34 243.604527 38
#> 35 218.754541 42
#> 36 173.312160 57
#> 37 255.699244 25
#> 38 85.103769 7
#> 39 -57.821855 30
#> 40 17.087626 30
#> 41 90.053917 26
#> 42 34.566214 12
#> 43 64.329480 38
#> 44 77.016613 36
#> 45 227.471558 28
#> 46 105.793717 19
#> 47 254.351856 22
#> 48 260.161882 42
#> 49 42.787851 45
#> 50 122.314356 11
#> 51 167.199103 55
#> 52 88.191015 14
#> 53 32.445806 17
#> 54 188.578718 10
#> 55 -104.740903 63
#> 56 219.295097 7
#> 57 96.385027 28
#> 58 271.879485 24
#> 59 252.877280 36
#> 60 -106.207170 34
#> 61 55.869183 19
#> 62 253.621388 12
#> 63 206.820161 37
#> 64 130.312802 32
#> 65 138.594952 11
#> 66 249.530713 38
#> 67 223.824213 16
#> 68 237.522731 92
#> 69 -34.768511 8
#> 70 55.721258 5
#> 71 246.108172 10
#> 72 -20.962664 20
#> 73 133.778689 11
#> 74 169.533055 21
#> 75 229.070112 44
#> 76 -13.076175 30
#> 77 207.116632 13
#> 78 265.053780 47
#> 79 260.675505 32
#> 80 219.703483 9
#> 81 265.129408 35
#> 82 -6.362424 12
#> 83 245.018665 21
#> 84 49.500065 18
#> 85 127.665024 52
#> 86 -94.891560 52
#> 87 189.873511 20
#> 88 222.063802 77
#> 89 214.382286 52
#> 90 14.909221 36
#> 91 152.016358 67
#> 92 93.282112 52
#> 93 56.568891 6
#> 94 165.427079 57
#> 95 255.524924 38
#> 96 123.856026 7
#> 97 196.805854 39
#> 98 237.616502 7
#> 99 204.013392 13
#> 100 252.637617 50
#> 101 46.528053 13
#> 102 245.993394 15
#> 103 38.795060 25
#> 104 47.369578 59
#> 105 40.172970 5
#> 106 18.626833 15
#> 107 239.552741 44
#> 108 265.391957 25
#> 109 245.529794 43
#> 110 275.545334 81
#> 111 252.050928 19
#> 112 139.229489 28
#> 113 269.794099 46
#> 114 254.341855 7
#> 115 178.865157 10
#> 116 -2.197715 21
#> 117 63.449575 8
#> 118 265.847603 24
#> 119 226.273855 34
#> 120 -47.435511 27
#> 121 75.954686 33
#> 122 184.531975 15
#> 123 -27.164099 21
#> 124 183.024353 74
#> 125 157.876145 11
#> 126 207.932007 18
#> 127 249.394779 43
#> 128 100.589190 7
#> 129 237.310767 40
#> 130 105.143984 23
#> 131 77.302877 9
#> 132 40.225722 36
#> 133 -63.044780 37
#> 134 82.081782 7
#> 135 190.112599 82
#> 136 253.140353 21
#> 137 -61.006547 21
#> 138 159.208258 12
#> 139 142.062631 10
#> 140 -13.521900 30
#> 141 184.214341 9
#> 142 50.711192 7
#> 143 -22.247245 21
#> 144 228.276482 63
#> 145 241.536609 14
#> 146 45.894294 4
#> 147 99.690352 45
#> 148 185.103094 24
#> 149 8.688052 9
#> 150 -183.809077 21
#> 151 229.319920 58
#> 152 34.961241 4
#> 153 260.185026 33
#> 154 198.637456 15
#> 155 249.172247 15
#> 156 166.627961 34
#> 157 189.580966 22
#> 158 118.587958 46
#> 159 273.120446 75
#> 160 238.495720 10
#> 161 194.609171 22
#> 162 255.772296 45
#> 163 55.362885 37
#> 164 187.859335 40
#> 165 251.134659 50
#> 166 260.168615 48
#> 167 116.048167 12
#> 168 190.096279 23
#> 169 133.386570 36
#> 170 228.382158 63
#> 171 196.628455 47
#> 172 22.768642 15
#> 173 -48.098707 20
#> 174 248.250076 11
#> 175 125.179329 66
#> 176 85.222105 50
#> 177 166.576755 9
#> 178 244.392079 21
#> 179 255.715263 46
#> 180 -147.956969 23
#> 181 197.664868 24
#> 182 240.080962 71
#> 183 -52.316382 31
#> 184 74.135955 4
#> 185 230.325692 17
#> 186 259.815946 34
#> 187 177.640414 64
#> 188 252.658570 27
#> 189 143.330440 47
#> 190 107.912733 8
#> 191 250.165125 26
#> 192 246.214167 39
#> 193 248.176684 21
#> 194 174.760707 34
#> 195 259.019096 21
#> 196 -103.498153 29
#> 197 -69.741384 15
#> 198 247.691759 16
#> 199 10.049802 6
#> 200 -11.401765 22
#> 201 251.974338 12
#> 202 86.427411 9
#> 203 171.374877 54
#> 204 255.266383 28
#> 205 260.739092 35
#> 206 52.830710 42
#> 207 235.151466 29
#> 208 260.064581 27
#> 209 258.264992 46
#> 210 257.799284 33
#> 211 124.483109 8
#> 212 252.393816 40
#> 213 134.649371 45
#> 214 185.866951 36
#> 215 253.808919 28
#> 216 243.720603 5
#> 217 20.619985 31
#> 218 182.230952 6
#> 219 155.967782 70
#> 220 194.220294 15
#> 221 178.645365 21
#> 222 150.444801 12
#> 223 244.222453 34
#> 224 192.549746 88
#> 225 29.204917 12
#> 226 262.019689 48
#> 227 85.314929 30
#on the result of auto_vif
out <- auto_vif(x = plant_richness_df[, 5:21])
#> [auto_vif()]: Variables are not collinear.
out <- auto_cor(x = out)
#> [auto_cor()]: Removed variables: human_footprint_average, human_population
#with pipes
out <- plant_richness_df[, 5:21] %>%
auto_vif() %>%
auto_cor()
#> [auto_vif()]: Variables are not collinear.
#> [auto_cor()]: Removed variables: human_footprint_average, human_population