Hi Community,
I want to do a 3d scatter plot of the following information. The variables are x: Ground roughness ; y : roughness index ; z = probability of presence of vegetation .
I want to show that when the roughness is greater there is a greater probability of vegetation.
In an article I found this graphic and I would like to replicate it:
Im try whit different options but not work well.
1
library(plotly)
x = R$lyr17_vm_vector_ruggedness
y = R$lyr17_vm_TRI
z = R$lyr17_veg_map_sp_holdout_probability.2
plot_ly(R, x = x, y = y, z = z,
type = 'scatter3d',
mode = 'line',
opacity = 7)
2
require(rgl)
with(R,plot3d(x,y,z,
type = "s",
opacity = 1,
col = c("red","blue","green")))
3
library(plot3D)
library(plot3Drgl)
with(R,scatter3D(x,y,z,
ticktype="detailed",
type= "s",
pch=16,
xlab="vector_ruggedness",
ylab="TRI",
zlab="probabilidad",
main=""))
plotrgl(lighting = TRUE, smooth = TRUE, cex=2)
Im make other examples but is wrong.
I consider that I have problems in returning matrix to z Dont know how to make well.
Thanks
dput(R[1:500,2:4]) structure(list(lyr17_veg_map_sp_holdout_probability.2 = c(0.444000006, 0.526000023, 0.660000026, 0.54400003, 0.649999976, 0.621999979, 0.477999985, 0.684000015, 0.572000027, 0.574000001, 0.453999996, 0.469999999, 0.582000017, 0.614000022, 0.515999973, 0.68599999, 0.617999971, 0.505999982, 0.453999996, 0.414000005, 0.550000012, 0.474000007, 0.442000002, 0.628000021, 0.702000022, 0.688000023, 0.628000021, 0.540000021, 0.565999985, 0.717999995, 0.666000009, 0.536000013, 0.493999988, 0.405999988, 0.634000003, 0.578000009, 0.639999986, 0.593999982, 0.518000007, 0.638000011, 0.629999995, 0.737999976, 0.635999978, 0.662, 0.479999989, 0.578000009, 0.574000001, 0.628000021, 0.492000014, 0.409999996, 0.698000014, 0.65200001, 0.667999983, 0.488000005, 0.681999981, 0.601999998, 0.657999992, 0.565999985, 0.59799999, 0.469999999, 0.674000025, 0.70599997, 0.653999984, 0.569999993, 0.404000014, 0.768000007, 0.694000006, 0.589999974, 0.666000009, 0.653999984, 0.660000026, 0.453999996, 0.560000002, 0.5, 0.596000016, 0.574000001, 0.624000013, 0.589999974, 0.558000028, 0.526000023, 0.653999984, 0.723999977, 0.666000009, 0.638000011, 0.730000019, 0.526000023, 0.505999982, 0.572000027, 0.634000003, 0.660000026, 0.69599998, 0.527999997, 0.727999985, 0.432000011, 0.628000021, 0.75, 0.758000016, 0.653999984, 0.606000006, 0.523999989, 0.375999987, 0.601999998, 0.488000005, 0.505999982, 0.712000012, 0.648000002, 0.629999995, 0.589999974, 0.55400002, 0.667999983, 0.632000029, 0.603999972, 0.589999974, 0.632000029, 0.526000023, 0.430000007, 0.286000013, 0.432000011, 0.726000011, 0.568000019, 0.635999978, 0.526000023, 0.361999989, 0.560000002, 0.635999978, 0.463999987, 0.671999991, 0.615999997, 0.342000008, 0.568000019, 0.593999982, 0.465999991, 0.463999987, 0.469999999, 0.65200001, 0.777999997, 0.555999994, 0.646000028, 0.722000003, 0.675999999, 0.5, 0.532000005, 0.579999983, 0.666000009, 0.519999981, 0.579999983, 0.501999974, 0.458000004, 0.34799999, 0.606000006, 0.588, 0.745999992, 0.75, 0.621999979, 0.731999993, 0.589999974, 0.550000012, 0.648000002, 0.667999983, 0.763999999, 0.643999994, 0.70599997, 0.442000002, 0.493999988, 0.501999974, 0.479999989, 0.419999987, 0.451999992, 0.680000007, 0.657999992, 0.703999996, 0.741999984, 0.634000003, 0.723999977, 0.779999971, 0.69599998, 0.811999977, 0.663999975, 0.68599999, 0.80400002, 0.379999995, 0.349999994, 0.493999988, 0.460000008, 0.495999992, 0.639999986, 0.629999995, 0.560000002, 0.726000011, 0.765999973, 0.762000024, 0.680000007, 0.574000001, 0.69599998, 0.702000022, 0.629999995, 0.555999994, 0.702000022, 0.674000025, 0.345999986, 0.533999979, 0.55400002, 0.5, 0.628000021, 0.574000001, 0.681999981, 0.698000014, 0.787999988, 0.657999992, 0.731999993, 0.629999995, 0.603999972, 0.523999989, 0.492000014, 0.497999996, 0.526000023, 0.702000022, 0.505999982, 0.331999987, 0.600000024, 0.453999996, 0.458000004, 0.497999996, 0.629999995, 0.600000024, 0.703999996, 0.703999996, 0.702000022, 0.547999978, 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0.560000002, 0.512000024, 0.50999999, 0.474000007, 0.467999995, 0.529999971, 0.463999987, 0.512000024, 0.532000005, 0.492000014, 0.513999999, 0.49000001, 0.505999982, 0.512000024, 0.523999989, 0.638000011, 0.476000011, 0.55400002, 0.639999986, 0.703999996, 0.603999972, 0.495999992, 0.428000003, 0.444000006, 0.433999985, 0.409999996, 0.474000007, 0.307999998, 0.384000003, 0.522000015, 0.508000016, 0.508000016, 0.481999993, 0.519999981, 0.50999999, 0.533999979, 0.596000016, 0.439999998, 0.35800001, 0.56400001, 0.561999977, 0.412, 0.55400002, 0.574000001, 0.56400001, 0.772000015, 0.437999994, 0.316000015, 0.49000001, 0.363999993, 0.483999997, 0.5, 0.305999994, 0.469999999, 0.541999996, 0.536000013, 0.518000007, 0.649999976, 0.50999999, 0.49000001, 0.497999996, 0.513999999, 0.453999996, 0.5, 0.625999987, 0.469999999, 0.558000028, 0.582000017, 0.583999991, 0.586000025, 0.786000013, 0.421999991, 0.593999982, 0.532000005, 0.540000021, 0.495999992, 0.59799999, 0.495999992, 0.523999989, 0.497999996, 0.472000003, 0.529999971, 0.536000013, 0.55400002, 0.5, 0.5, 0.533999979, 0.467999995, 0.565999985, 0.55400002, 0.615999997, 0.44600001, 0.522000015, 0.698000014, 0.526000023, 0.550000012, 0.54400003, 0.372000009, 0.407999992, 0.493999988, 0.611999989, 0.610000014, 0.519999981, 0.409999996, 0.546000004, 0.635999978, 0.550000012, 0.540000021, 0.555999994, 0.572000027, 0.586000025, 0.561999977, 0.55400002, 0.512000024, 0.54400003), lyr17_vm_TRI = c(1.018741608, 1.898422241, 1.59016037, 0.731349945, 0.506702423, 0.669364929, 0.983158112, 1.460777283, 1.126293182, 1.096321106, 1.68523407, 1.212741852, 0.398029327, 0.609077454, 0.85824585, 0.693790436, 1.378501892, 1.33927536, 1.13615036, 1.466972351, 1.004394531, 0.862640381, 1.114643097, 1.027637482, 0.751846313, 1.184238434, 1.429821014, 1.009338379, 0.57976532, 0.271396637, 0.403427124, 1.369628906, 1.149318695, 1.03086853, 0.937942505, 1.435035706, 1.374069214, 0.960483551, 1.354122162, 1.446735382, 0.745578766, 0.416069031, 0.356632233, 0.50120163, 1.262271881, 0.793346405, 0.804481506, 0.750488281, 1.220420837, 1.661140442, 0.884616852, 1.127254486, 1.313694, 1.111995697, 0.453170776, 0.513019562, 0.706298828, 1.064720154, 1.015323639, 0.75447464, 0.477481842, 0.584999084, 1.034420013, 1.195129395, 1.336235046, 1.002925873, 0.989738464, 0.534740448, 0.399044037, 0.44776535, 0.662437439, 1.600547791, 1.143844604, 1.155422211, 0.786727905, 0.985721588, 0.673664093, 1.068153381, 1.34771347, 1.060649872, 0.689170837, 0.557579041, 0.461349487, 0.492050171, 0.607738495, 1.075534821, 1.265277863, 1.723560333, 1.265346527, 1.139835358, 0.984230042, 1.036460876, 1.149250031, 1.20489502, 0.848018646, 0.647041321, 0.501888275, 0.45167923, 0.51505661, 0.76524353, 1.635704041, 1.834812164, 0.991443634, 0.829597473, 0.928245544, 0.837615967, 1.114578247, 1.535419464, 1.116176605, 0.718883514, 0.398609161, 0.368656158, 0.505146027, 0.855762482, 2.746429443, 1.801544189, 2.178859711, 1.591712952, 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