Support Vector Machines Model
# load data 'nj.SOC'
# Promote to spatialPointsDataFrame
coordinates(nj.SOC) <- ~ X + Y
class(nj.SOC)
## [1] "SpatialPointsDataFrame"
## attr(,"package")
## [1] "sp"
nj.SOC@proj4string <- CRS(projargs = "+proj=longlat +datum=WGS84")
# Get the covariates names
library(raster)
covs <- stack(files)
names(covs)
## [1] "annualPET" "aridityIndexThornthwaite"
## [3] "climaticMoistureIndex" "continentality"
## [5] "embergerQ" "growingDegDays0"
## [7] "growingDegDays5" "maxTempColdest"
## [9] "meanTempColdest" "meanTempWarmest"
## [11] "minTempWarmest" "monthCountByTemp10"
## [13] "PETColdestQuarter" "PETDriestQuarter"
## [15] "PETseasonality" "PETWarmestQuarter"
## [17] "PETWettestQuarter" "thermicityIndex"
# plot the names of the covariates
names(nj.SOC@data)
## [1] "X.1" "id"
## [3] "SOC" "CRFVOL"
## [5] "OCSKGM" "annualPET"
## [7] "aridityIndexThornthwaite" "climaticMoistureIndex"
## [9] "continentality" "embergerQ"
## [11] "growingDegDays0" "growingDegDays5"
## [13] "maxTempColdest" "meanTempColdest"
## [15] "meanTempWarmest" "minTempWarmest"
## [17] "monthCountByTemp10" "PETColdestQuarter"
## [19] "PETDriestQuarter" "PETseasonality"
## [21] "PETWarmestQuarter" "PETWettestQuarter"
## [23] "thermicityIndex" "optional"
# plot the names of the covariates
names(nj.SOC@data)
## [1] "X.1" "id"
## [3] "SOC" "CRFVOL"
## [5] "OCSKGM" "annualPET"
## [7] "aridityIndexThornthwaite" "climaticMoistureIndex"
## [9] "continentality" "embergerQ"
## [11] "growingDegDays0" "growingDegDays5"
## [13] "maxTempColdest" "meanTempColdest"
## [15] "meanTempWarmest" "minTempWarmest"
## [17] "monthCountByTemp10" "PETColdestQuarter"
## [19] "PETDriestQuarter" "PETseasonality"
## [21] "PETWarmestQuarter" "PETWettestQuarter"
## [23] "thermicityIndex" "optional"
# variable selection using correlation analysis
selectedCovs <- cor(x = as.matrix(nj.SOC@data[,5]), y = as.matrix(nj.SOC@data[,-c(1:7,13,24)]))
# print correlation results
selectedCovs
## climaticMoistureIndex continentality embergerQ growingDegDays0
## [1,] 0.272089 -0.2334364 0.2270038 0.1119405
## growingDegDays5 meanTempColdest meanTempWarmest minTempWarmest
## [1,] 0.08452238 0.1764367 0.01067156 0.1549844
## monthCountByTemp10 PETColdestQuarter PETDriestQuarter PETseasonality
## [1,] 0.1867504 -0.0128005 0.006004338 -0.2210748
## PETWarmestQuarter PETWettestQuarter thermicityIndex
## [1,] -0.2223287 -0.2165423 0.09363423
library(reshape)
x <- subset(melt(selectedCovs), value != 1 | value != NA)
x <- x[with(x, order(-abs(x$value))),]
idx <- as.character(x$X2[1:5])
nj.SOC2 <- nj.SOC[c('OCSKGM', idx)]
names(nj.SOC2)
## [1] "OCSKGM" "climaticMoistureIndex" "continentality"
## [4] "embergerQ" "PETWarmestQuarter" "PETseasonality"
COV <- covs[[idx]]
# Selected covariates
names(COV)
## [1] "climaticMoistureIndex" "continentality" "embergerQ"
## [4] "PETWarmestQuarter" "PETseasonality"
# Categorical variables in svm models
dummyRaster <- function(rast){
rast <- as.factor(rast)
result <- list()
for(i in 1:length(levels(rast)[[1]][[1]])){
result[[i]] <- rast == levels(rast)[[1]][[1]][i]
names(result[[i]]) <- paste0(names(rast),
levels(rast)[[1]][[1]][i])
}
return(stack(result))
}
# convert soilmap from factor to dummy
# nj.shp <- dummyRaster(covs$soilmap)
# convert annualPET from factor to dummy
annualPET_dummy <- dummyRaster(covs$annualPET)
# Stack the 5 COV layers with the 2 dummies
COV <- stack(COV, annualPET_dummy)
# print the final layer names
names(COV)
## [1] "climaticMoistureIndex" "continentality"
## [3] "embergerQ" "PETWarmestQuarter"
## [5] "PETseasonality" "annualPET737.104614257812"
## [7] "annualPET737.245056152344" "annualPET737.316345214844"
## [9] "annualPET737.651733398438" "annualPET737.779296875"
## [11] "annualPET737.934265136719" "annualPET738.463928222656"
## [13] "annualPET738.50439453125" "annualPET739.441650390625"
## [15] "annualPET739.486022949219" "annualPET739.822021484375"
## [17] "annualPET739.828002929688" "annualPET740.079406738281"
## [19] "annualPET740.092224121094" "annualPET741.117126464844"
## [21] "annualPET741.482421875" "annualPET742.479064941406"
## [23] "annualPET743.068176269531" "annualPET743.626647949219"
## [25] "annualPET743.682800292969" "annualPET743.716186523438"
## [27] "annualPET744.026245117188" "annualPET744.648071289062"
## [29] "annualPET744.791625976562" "annualPET744.890319824219"
## [31] "annualPET745.207885742188" "annualPET745.278076171875"
## [33] "annualPET745.429016113281" "annualPET745.752258300781"
## [35] "annualPET747.237243652344" "annualPET748.211242675781"
## [37] "annualPET748.497924804688" "annualPET748.599609375"
## [39] "annualPET748.785522460938" "annualPET748.903869628906"
## [41] "annualPET748.987670898438" "annualPET748.991455078125"
## [43] "annualPET749.105590820312" "annualPET749.516052246094"
## [45] "annualPET749.779907226562" "annualPET750.097900390625"
## [47] "annualPET750.316711425781" "annualPET751.417602539062"
## [49] "annualPET751.445434570312" "annualPET751.868957519531"
## [51] "annualPET752.179748535156" "annualPET752.254516601562"
## [53] "annualPET752.311950683594" "annualPET752.614868164062"
## [55] "annualPET752.686340332031" "annualPET753.418518066406"
## [57] "annualPET753.556884765625" "annualPET753.632446289062"
## [59] "annualPET753.683715820312" "annualPET753.709228515625"
## [61] "annualPET753.836303710938" "annualPET754.51611328125"
## [63] "annualPET755.673034667969" "annualPET755.852600097656"
## [65] "annualPET755.930969238281" "annualPET756.051513671875"
## [67] "annualPET756.178955078125" "annualPET756.380798339844"
## [69] "annualPET756.459228515625" "annualPET756.522277832031"
## [71] "annualPET756.657531738281" "annualPET756.744567871094"
## [73] "annualPET757.202941894531" "annualPET757.497436523438"
## [75] "annualPET757.615600585938" "annualPET758.310119628906"
## [77] "annualPET758.566589355469" "annualPET759.317321777344"
## [79] "annualPET759.391052246094" "annualPET759.425842285156"
## [81] "annualPET759.493835449219" "annualPET759.530029296875"
## [83] "annualPET759.765563964844" "annualPET759.827453613281"
## [85] "annualPET759.858825683594" "annualPET759.864196777344"
## [87] "annualPET760.466186523438" "annualPET760.630676269531"
## [89] "annualPET760.880798339844" "annualPET761.020263671875"
## [91] "annualPET761.764221191406" "annualPET762.172729492188"
## [93] "annualPET762.221130371094" "annualPET762.239624023438"
## [95] "annualPET762.467895507812" "annualPET762.752136230469"
## [97] "annualPET763.209838867188" "annualPET763.396118164062"
## [99] "annualPET763.572631835938" "annualPET763.663330078125"
## [101] "annualPET763.747253417969" "annualPET763.848571777344"
## [103] "annualPET763.950012207031" "annualPET764.192504882812"
## [105] "annualPET764.255615234375" "annualPET764.325744628906"
## [107] "annualPET764.33203125" "annualPET764.356872558594"
## [109] "annualPET764.485961914062" "annualPET764.509704589844"
## [111] "annualPET764.581787109375" "annualPET764.672058105469"
## [113] "annualPET764.805969238281" "annualPET764.919189453125"
## [115] "annualPET764.993530273438" "annualPET765.053405761719"
## [117] "annualPET765.0869140625" "annualPET765.18310546875"
## [119] "annualPET765.369445800781" "annualPET765.395568847656"
## [121] "annualPET765.64208984375" "annualPET765.768920898438"
## [123] "annualPET766.106201171875" "annualPET766.354309082031"
## [125] "annualPET766.461853027344" "annualPET766.668823242188"
## [127] "annualPET766.673278808594" "annualPET766.784057617188"
## [129] "annualPET766.966979980469" "annualPET767.40234375"
## [131] "annualPET767.48291015625" "annualPET767.663391113281"
## [133] "annualPET767.684143066406" "annualPET767.699157714844"
## [135] "annualPET767.816833496094" "annualPET768.007873535156"
## [137] "annualPET768.106689453125" "annualPET768.202575683594"
## [139] "annualPET768.336303710938" "annualPET768.336791992188"
## [141] "annualPET768.555419921875" "annualPET768.734313964844"
## [143] "annualPET768.745971679688" "annualPET768.768676757812"
## [145] "annualPET768.889404296875" "annualPET769.023864746094"
## [147] "annualPET769.078002929688" "annualPET769.164978027344"
## [149] "annualPET769.168762207031" "annualPET769.172546386719"
## [151] "annualPET769.184387207031" "annualPET769.195251464844"
## [153] "annualPET769.227355957031" "annualPET769.597717285156"
## [155] "annualPET769.829772949219" "annualPET769.852661132812"
## [157] "annualPET770.136962890625" "annualPET770.319580078125"
## [159] "annualPET770.323120117188" "annualPET770.58349609375"
## [161] "annualPET770.632446289062" "annualPET770.670349121094"
## [163] "annualPET770.76416015625" "annualPET771.216247558594"
## [165] "annualPET771.263671875" "annualPET771.282897949219"
## [167] "annualPET771.329711914062" "annualPET771.391052246094"
## [169] "annualPET771.491943359375" "annualPET771.6162109375"
## [171] "annualPET771.870483398438" "annualPET771.920043945312"
## [173] "annualPET771.923706054688" "annualPET771.992492675781"
## [175] "annualPET772.034240722656" "annualPET772.034545898438"
## [177] "annualPET772.154541015625" "annualPET772.288452148438"
## [179] "annualPET772.296508789062" "annualPET772.406188964844"
## [181] "annualPET772.407104492188" "annualPET772.597595214844"
## [183] "annualPET772.764709472656" "annualPET772.920043945312"
## [185] "annualPET773.127014160156" "annualPET773.223815917969"
## [187] "annualPET773.245910644531" "annualPET773.417846679688"
## [189] "annualPET773.547424316406" "annualPET773.58203125"
## [191] "annualPET773.819519042969" "annualPET773.883056640625"
## [193] "annualPET773.914367675781" "annualPET774.080810546875"
## [195] "annualPET774.0947265625" "annualPET774.125366210938"
## [197] "annualPET774.238220214844" "annualPET774.276550292969"
## [199] "annualPET774.623168945312" "annualPET774.786743164062"
## [201] "annualPET774.859985351562" "annualPET775.094665527344"
## [203] "annualPET775.312194824219" "annualPET775.465087890625"
## [205] "annualPET775.523559570312" "annualPET775.804138183594"
## [207] "annualPET776.030456542969" "annualPET776.055480957031"
## [209] "annualPET776.073852539062" "annualPET776.20166015625"
## [211] "annualPET776.268249511719" "annualPET776.497741699219"
## [213] "annualPET776.930419921875" "annualPET776.944580078125"
## [215] "annualPET777.16748046875" "annualPET777.265502929688"
## [217] "annualPET777.328796386719" "annualPET777.575805664062"
## [219] "annualPET777.588500976562" "annualPET777.631958007812"
## [221] "annualPET777.826049804688" "annualPET778.068420410156"
## [223] "annualPET778.085693359375" "annualPET778.115356445312"
## [225] "annualPET778.299133300781" "annualPET778.309265136719"
## [227] "annualPET778.312133789062" "annualPET778.356323242188"
## [229] "annualPET778.835388183594" "annualPET778.8935546875"
## [231] "annualPET778.928771972656" "annualPET779.060913085938"
## [233] "annualPET779.180480957031" "annualPET779.183959960938"
## [235] "annualPET779.196411132812" "annualPET779.245483398438"
## [237] "annualPET779.619689941406" "annualPET779.633850097656"
## [239] "annualPET780.377868652344" "annualPET780.428833007812"
## [241] "annualPET780.481323242188" "annualPET780.629455566406"
## [243] "annualPET780.634887695312" "annualPET780.722839355469"
## [245] "annualPET780.763793945312" "annualPET781.011535644531"
## [247] "annualPET781.052917480469" "annualPET781.176452636719"
## [249] "annualPET781.197570800781" "annualPET781.436157226562"
## [251] "annualPET781.62353515625" "annualPET781.6640625"
## [253] "annualPET781.799682617188" "annualPET781.801147460938"
## [255] "annualPET781.9375" "annualPET781.992004394531"
## [257] "annualPET782.011596679688" "annualPET782.042053222656"
## [259] "annualPET782.134887695312" "annualPET782.201904296875"
## [261] "annualPET782.315368652344" "annualPET782.384765625"
## [263] "annualPET782.592346191406" "annualPET782.734802246094"
## [265] "annualPET782.991760253906" "annualPET783.05615234375"
## [267] "annualPET783.334594726562" "annualPET783.403747558594"
## [269] "annualPET783.484008789062" "annualPET783.72216796875"
## [271] "annualPET783.790222167969" "annualPET783.791809082031"
## [273] "annualPET783.865234375" "annualPET783.996276855469"
## [275] "annualPET784.214782714844" "annualPET784.364318847656"
## [277] "annualPET784.473693847656" "annualPET784.550048828125"
## [279] "annualPET784.562377929688" "annualPET784.573181152344"
## [281] "annualPET784.587097167969" "annualPET784.815124511719"
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## [287] "annualPET785.736206054688" "annualPET785.767150878906"
## [289] "annualPET785.918762207031" "annualPET785.971496582031"
## [291] "annualPET786.001953125" "annualPET786.166015625"
## [293] "annualPET786.182067871094" "annualPET786.220703125"
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## [297] "annualPET786.682189941406" "annualPET786.911987304688"
## [299] "annualPET787.039489746094" "annualPET787.105834960938"
## [301] "annualPET787.341552734375" "annualPET787.380737304688"
## [303] "annualPET787.576416015625" "annualPET787.771850585938"
## [305] "annualPET787.77587890625" "annualPET788.094055175781"
## [307] "annualPET788.13916015625" "annualPET788.214599609375"
## [309] "annualPET788.222473144531" "annualPET788.302124023438"
## [311] "annualPET788.351440429688" "annualPET788.373229980469"
## [313] "annualPET788.449951171875" "annualPET788.499816894531"
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## [387] "annualPET795.82373046875" "annualPET796.037109375"
## [389] "annualPET796.371215820312" "annualPET796.447265625"
## [391] "annualPET796.456237792969" "annualPET796.496643066406"
## [393] "annualPET796.564880371094" "annualPET796.638671875"
## [395] "annualPET796.63916015625" "annualPET796.698120117188"
## [397] "annualPET796.730163574219" "annualPET797.274475097656"
## [399] "annualPET797.275024414062" "annualPET797.456481933594"
## [401] "annualPET797.459655761719" "annualPET797.794128417969"
## [403] "annualPET797.92236328125" "annualPET797.973693847656"
## [405] "annualPET798.097717285156" "annualPET798.261840820312"
## [407] "annualPET798.320007324219" "annualPET798.337585449219"
## [409] "annualPET798.427307128906" "annualPET798.444152832031"
## [411] "annualPET798.447631835938" "annualPET798.655883789062"
## [413] "annualPET798.672973632812" "annualPET798.828125"
## [415] "annualPET798.965270996094" "annualPET799.02294921875"
## [417] "annualPET799.1103515625" "annualPET799.138732910156"
## [419] "annualPET799.182556152344" "annualPET799.358825683594"
## [421] "annualPET799.5322265625" "annualPET799.729614257812"
## [423] "annualPET799.920837402344" "annualPET799.974975585938"
## [425] "annualPET800.106811523438" "annualPET800.178771972656"
## [427] "annualPET800.23193359375" "annualPET800.2431640625"
## [429] "annualPET800.30029296875" "annualPET800.300842285156"
## [431] "annualPET800.469360351562" "annualPET800.527770996094"
## [433] "annualPET800.559509277344" "annualPET800.712951660156"
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## [1987] "annualPET900.983337402344" "annualPET901.067932128906"
## [1989] "annualPET901.126159667969" "annualPET901.145324707031"
## [1991] "annualPET901.155151367188" "annualPET901.247436523438"
## [1993] "annualPET901.272277832031" "annualPET901.273681640625"
## [1995] "annualPET901.354431152344" "annualPET901.377197265625"
## [1997] "annualPET901.381652832031" "annualPET901.40625"
## [1999] "annualPET901.612121582031" "annualPET901.620056152344"
## [2001] "annualPET901.639099121094" "annualPET901.649536132812"
## [2003] "annualPET901.651489257812" "annualPET901.71337890625"
## [2005] "annualPET901.717651367188" "annualPET901.817993164062"
## [2007] "annualPET901.843872070312" "annualPET902.169738769531"
## [2009] "annualPET902.333435058594" "annualPET902.354919433594"
## [2011] "annualPET902.427368164062" "annualPET902.435913085938"
## [2013] "annualPET902.449401855469" "annualPET902.567321777344"
## [2015] "annualPET902.640747070312" "annualPET902.741088867188"
## [2017] "annualPET902.820434570312" "annualPET902.829711914062"
## [2019] "annualPET902.860107421875" "annualPET902.88232421875"
## [2021] "annualPET902.920837402344" "annualPET902.988830566406"
## [2023] "annualPET903.027465820312" "annualPET903.028625488281"
## [2025] "annualPET903.039489746094" "annualPET903.146423339844"
## [2027] "annualPET903.192199707031" "annualPET903.217163085938"
## [2029] "annualPET903.3076171875" "annualPET903.353576660156"
## [2031] "annualPET903.505310058594" "annualPET903.50732421875"
## [2033] "annualPET903.520080566406" "annualPET903.567260742188"
## [2035] "annualPET903.575317382812" "annualPET903.771667480469"
## [2037] "annualPET903.876892089844" "annualPET903.977600097656"
## [2039] "annualPET903.995300292969" "annualPET904.038696289062"
## [2041] "annualPET904.059509277344" "annualPET904.111450195312"
## [2043] "annualPET904.233703613281" "annualPET904.326049804688"
## [2045] "annualPET904.330871582031" "annualPET904.343566894531"
## [2047] "annualPET904.354248046875" "annualPET904.35546875"
## [2049] "annualPET904.365112304688" "annualPET904.390991210938"
## [2051] "annualPET904.473999023438" "annualPET904.486572265625"
## [2053] "annualPET904.636474609375" "annualPET904.65576171875"
## [2055] "annualPET904.667907714844" "annualPET904.677917480469"
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## [2061] "annualPET904.944702148438" "annualPET904.956481933594"
## [2063] "annualPET905.026977539062" "annualPET905.037170410156"
## [2065] "annualPET905.060913085938" "annualPET905.072326660156"
## [2067] "annualPET905.156433105469" "annualPET905.167297363281"
## [2069] "annualPET905.175231933594" "annualPET905.326721191406"
## [2071] "annualPET905.438354492188" "annualPET905.448120117188"
## [2073] "annualPET905.627807617188" "annualPET905.630737304688"
## [2075] "annualPET905.735961914062" "annualPET905.768737792969"
## [2077] "annualPET905.856384277344" "annualPET905.865600585938"
## [2079] "annualPET905.961853027344" "annualPET905.977233886719"
## [2081] "annualPET906.015686035156" "annualPET906.016174316406"
## [2083] "annualPET906.057800292969" "annualPET906.061401367188"
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## [7559] "annualPET1021.20965576172" "annualPET1021.29406738281"
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## [7563] "annualPET1021.61737060547" "annualPET1021.62689208984"
## [7565] "annualPET1021.63616943359" "annualPET1021.68096923828"
## [7567] "annualPET1021.68225097656" "annualPET1021.75286865234"
## [7569] "annualPET1021.77124023438" "annualPET1021.77697753906"
## [7571] "annualPET1021.85241699219" "annualPET1021.86047363281"
## [7573] "annualPET1021.87829589844" "annualPET1021.88208007812"
## [7575] "annualPET1021.92755126953" "annualPET1021.93560791016"
## [7577] "annualPET1021.94921875" "annualPET1021.98675537109"
## [7579] "annualPET1022.00756835938" "annualPET1022.02966308594"
## [7581] "annualPET1022.10113525391" "annualPET1022.10955810547"
## [7583] "annualPET1022.12176513672" "annualPET1022.17523193359"
## [7585] "annualPET1022.20050048828" "annualPET1022.23193359375"
## [7587] "annualPET1022.33636474609" "annualPET1022.42803955078"
## [7589] "annualPET1022.48248291016" "annualPET1022.50482177734"
## [7591] "annualPET1022.50817871094" "annualPET1022.53112792969"
## [7593] "annualPET1022.552734375" "annualPET1022.60394287109"
## [7595] "annualPET1022.77008056641" "annualPET1022.78747558594"
## [7597] "annualPET1022.8212890625" "annualPET1022.82421875"
## [7599] "annualPET1022.94146728516" "annualPET1023.12390136719"
## [7601] "annualPET1023.15484619141" "annualPET1023.17150878906"
## [7603] "annualPET1023.27954101562" "annualPET1023.44799804688"
## [7605] "annualPET1023.46630859375" "annualPET1023.48156738281"
## [7607] "annualPET1023.48590087891" "annualPET1023.50708007812"
## [7609] "annualPET1023.533203125" "annualPET1023.5419921875"
## [7611] "annualPET1023.59741210938" "annualPET1023.60302734375"
## [7613] "annualPET1023.63098144531" "annualPET1023.64111328125"
## [7615] "annualPET1023.67492675781" "annualPET1023.78454589844"
## [7617] "annualPET1023.82373046875" "annualPET1023.87274169922"
## [7619] "annualPET1024.03515625" "annualPET1024.13403320312"
## [7621] "annualPET1024.16516113281" "annualPET1024.19738769531"
## [7623] "annualPET1024.2109375" "annualPET1024.37829589844"
## [7625] "annualPET1024.38610839844" "annualPET1024.42749023438"
## [7627] "annualPET1024.45959472656" "annualPET1024.4833984375"
## [7629] "annualPET1024.63269042969" "annualPET1024.71032714844"
## [7631] "annualPET1024.79772949219" "annualPET1024.86767578125"
## [7633] "annualPET1024.90502929688" "annualPET1024.96411132812"
## [7635] "annualPET1024.96630859375" "annualPET1025.02355957031"
## [7637] "annualPET1025.04907226562" "annualPET1025.14477539062"
## [7639] "annualPET1025.17797851562" "annualPET1025.19152832031"
## [7641] "annualPET1025.21179199219" "annualPET1025.21997070312"
## [7643] "annualPET1025.23449707031" "annualPET1025.24816894531"
## [7645] "annualPET1025.29907226562" "annualPET1025.45812988281"
## [7647] "annualPET1025.49560546875" "annualPET1025.58227539062"
## [7649] "annualPET1025.67443847656" "annualPET1025.76574707031"
## [7651] "annualPET1025.8681640625" "annualPET1025.97509765625"
## [7653] "annualPET1025.98620605469" "annualPET1026.02392578125"
## [7655] "annualPET1026.078125" "annualPET1026.08850097656"
## [7657] "annualPET1026.16223144531" "annualPET1026.17419433594"
## [7659] "annualPET1026.19055175781" "annualPET1026.28344726562"
## [7661] "annualPET1026.3017578125" "annualPET1026.30615234375"
## [7663] "annualPET1026.63610839844" "annualPET1026.66870117188"
## [7665] "annualPET1026.79736328125" "annualPET1026.85144042969"
## [7667] "annualPET1026.86096191406" "annualPET1026.86291503906"
## [7669] "annualPET1026.89782714844" "annualPET1026.90991210938"
## [7671] "annualPET1026.947265625" "annualPET1027.33422851562"
## [7673] "annualPET1027.36596679688" "annualPET1027.39514160156"
## [7675] "annualPET1027.66162109375" "annualPET1027.72668457031"
## [7677] "annualPET1027.78515625" "annualPET1027.85485839844"
## [7679] "annualPET1028.01135253906" "annualPET1028.14294433594"
## [7681] "annualPET1028.17883300781" "annualPET1028.18273925781"
## [7683] "annualPET1028.24755859375" "annualPET1028.27075195312"
## [7685] "annualPET1028.4951171875" "annualPET1028.60339355469"
## [7687] "annualPET1028.70190429688" "annualPET1028.79748535156"
## [7689] "annualPET1028.9560546875" "annualPET1029.12768554688"
## [7691] "annualPET1029.14184570312" "annualPET1029.16333007812"
## [7693] "annualPET1029.28381347656" "annualPET1029.38244628906"
## [7695] "annualPET1029.61877441406" "annualPET1029.67663574219"
## [7697] "annualPET1029.70935058594" "annualPET1029.78625488281"
## [7699] "annualPET1029.9609375" "annualPET1030.01293945312"
## [7701] "annualPET1030.05419921875" "annualPET1030.05554199219"
## [7703] "annualPET1030.1015625" "annualPET1030.14758300781"
## [7705] "annualPET1030.15100097656" "annualPET1030.17211914062"
## [7707] "annualPET1030.33935546875" "annualPET1030.42810058594"
## [7709] "annualPET1030.99304199219" "annualPET1031.16845703125"
## [7711] "annualPET1031.20434570312" "annualPET1031.23254394531"
## [7713] "annualPET1031.392578125" "annualPET1031.45971679688"
## [7715] "annualPET1031.54333496094" "annualPET1031.55114746094"
## [7717] "annualPET1031.69714355469" "annualPET1031.71179199219"
## [7719] "annualPET1031.78894042969" "annualPET1031.88110351562"
## [7721] "annualPET1031.88842773438" "annualPET1031.92102050781"
## [7723] "annualPET1031.97448730469" "annualPET1032.015625"
## [7725] "annualPET1032.06091308594" "annualPET1032.12622070312"
## [7727] "annualPET1032.46325683594" "annualPET1032.484375"
## [7729] "annualPET1032.49853515625" "annualPET1032.56372070312"
## [7731] "annualPET1032.58959960938" "annualPET1032.611328125"
## [7733] "annualPET1032.64318847656" "annualPET1032.70727539062"
## [7735] "annualPET1032.74694824219" "annualPET1032.99377441406"
## [7737] "annualPET1033.06408691406" "annualPET1033.08874511719"
## [7739] "annualPET1033.17724609375" "annualPET1033.24829101562"
## [7741] "annualPET1033.51403808594" "annualPET1033.82666015625"
## [7743] "annualPET1034.13305664062" "annualPET1034.19311523438"
## [7745] "annualPET1034.77819824219" "annualPET1034.8046875"
## [7747] "annualPET1035.01147460938" "annualPET1035.0537109375"
## [7749] "annualPET1035.08459472656" "annualPET1035.18420410156"
## [7751] "annualPET1035.44494628906" "annualPET1035.51940917969"
## [7753] "annualPET1035.78784179688" "annualPET1035.82250976562"
## [7755] "annualPET1035.84338378906" "annualPET1036.05212402344"
## [7757] "annualPET1036.06530761719" "annualPET1036.10534667969"
## [7759] "annualPET1036.60107421875" "annualPET1036.72607421875"
## [7761] "annualPET1036.78674316406" "annualPET1036.81372070312"
## [7763] "annualPET1037.29040527344" "annualPET1037.40075683594"
## [7765] "annualPET1037.49597167969" "annualPET1037.51416015625"
## [7767] "annualPET1037.9130859375" "annualPET1038.03637695312"
## [7769] "annualPET1038.04809570312" "annualPET1038.09997558594"
## [7771] "annualPET1038.17065429688" "annualPET1038.45361328125"
## [7773] "annualPET1038.51892089844" "annualPET1038.52416992188"
## [7775] "annualPET1038.69287109375" "annualPET1038.75854492188"
## [7777] "annualPET1038.76672363281" "annualPET1038.77185058594"
## [7779] "annualPET1038.88757324219" "annualPET1039.12463378906"
## [7781] "annualPET1039.37707519531" "annualPET1039.45129394531"
## [7783] "annualPET1039.45776367188" "annualPET1039.4775390625"
## [7785] "annualPET1039.80932617188" "annualPET1039.84143066406"
## [7787] "annualPET1040.03063964844" "annualPET1040.03991699219"
## [7789] "annualPET1040.17541503906" "annualPET1040.62670898438"
## [7791] "annualPET1041.09033203125"
# convert annualPET column to dummy, the result is a matrix
# to have one column per category we had to add -1 to the formula
annualPET_dummy <- model.matrix(~annualPET -1, data = nj.SOC@data)
# convert the matrix to a data.frame
annualPET_dummy <- as.data.frame(annualPET_dummy)
nj.SOC@data <- cbind(nj.SOC@data, annualPET_dummy)
nj.SOC@data <- nj.SOC@data[,-(1:2)]
names(nj.SOC@data)
## [1] "SOC" "CRFVOL"
## [3] "OCSKGM" "annualPET"
## [5] "aridityIndexThornthwaite" "climaticMoistureIndex"
## [7] "continentality" "embergerQ"
## [9] "growingDegDays0" "growingDegDays5"
## [11] "maxTempColdest" "meanTempColdest"
## [13] "meanTempWarmest" "minTempWarmest"
## [15] "monthCountByTemp10" "PETColdestQuarter"
## [17] "PETDriestQuarter" "PETseasonality"
## [19] "PETWarmestQuarter" "PETWettestQuarter"
## [21] "thermicityIndex" "optional"
## [23] "annualPET.1"
library(e1071)
library(caret)
# Fitting a svm model and parameter tuning
# Test different values of epsilon and cost
# tuneResult <- tune(svm, OCSKGM ~., data = nj.SOC@data[,c("OCSKGM", names(COV))],
# ranges = list(epsilon = seq(0.1,0.2,0.02), cost = c(5,7,15,20)))
#
#
# plot(tuneResult)