I have been trying to convert input data from either images or
spatialgriddataframes to kasc for enfa modelling
However I keep getting a strange error that the cell size is not the
same in the different dimensions - see below. Is there anyone that
can enlighten because I am really stuck
Thanks
Els
1. from im to asc
Length Class Mode
meandaylst 11 im list
dem 11 im list
water 11 im list
dist2water 11 im list
corine 11 im list
dist2harbour 11 im list
dist2protected 11 im list
meanyearlyEVI 11 im list
EVIA1 11 im list
EVIA2 11 im list
EVImax 11 im list
EVImin 11 im list
EVIp1 11 im list
EVIp2 11 im list
LSTdayA1 11 im list
LSTdayA2 11 im list
LSTdaymax 11 im list
LSTdayp1 11 im list
LSTdayp2 11 im list
meannightLST 11 im list
LSTnightA1 11 im list
LSTnightA2 11 im list
LSTnightmax 11 im list
LSTnightp1 11 im list
LSTnightp2 11 im list
dens 11 im list
aedes.extra$meandaylst$xstep
aedes.extra$meandaylst$ystep
test<-im2asc(aedes.extra$meandaylst)
Error in im2asc(aedes.extra$meandaylst) :
the grid cellsize should be identical for both X and Y directions.
2. from spatialgriddataframe to kasc
Object of class SpatialGridDataFrame
Coordinates:
min max
coords.x1 2.546947 7.236947
coords.x2 49.446575 53.626575
Is projected: NA
proj4string : [NA]
Number of points: 2
Grid attributes:
cellcentre.offset cellsize cells.dim
1 2.551947 0.01 469
2 49.451575 0.01 418
Data attributes:
meanlstday dem soilmoist
dist2water dens densr
corine dist2harbour meanyearlyEVI
Min. : 0.0 Min. : -500.00 Min. : 0.00 Min. :
0.000e+00 Min. :2.364e-07 Min. :3.742e-09 Min. :0.000
Min. :0.000e+00 Min. :0.0000
1st Qu.: 0.0 1st Qu.: 2.00 1st Qu.: 97.00 1st Qu.:
2.000e-02 1st Qu.:1.497e-01 1st Qu.:2.369e-03 1st Qu.:0.000
1st Qu.:3.105e-01 1st Qu.:0.3000
Median :286.4 Median : 16.00 Median : 100.00 Median :
5.099e-02 Median :2.431e+00 Median :3.847e-02 Median :0.000
Median :6.938e-01 Median :0.3575
Mean :210.5 Mean : 84.37 Mean : 94.12 Mean :
7.541e-02 Mean :9.006e+00 Mean :1.425e-01 Mean :1.003
Mean :7.726e-01 Mean :0.3627
3rd Qu.:287.4 3rd Qu.: 101.00 3rd Qu.: 100.00 3rd Qu.:
1.044e-01 3rd Qu.:1.115e+01 3rd Qu.:1.764e-01 3rd Qu.:2.000
3rd Qu.:1.123e+00 3rd Qu.:0.4260
Max. :292.0 Max. : 687.00 Max. : 100.00 Max. :
4.809e-01 Max. :6.319e+01 Max. :1.000e+00 Max. :6.000
Max. :2.458e+00 Max. :0.6874
NA's :107457.00 NA's :107784.00 NA's :
1.074e+05
NA's :1.069e+05
EVIA1 EVIA2 EVImax
EVImin EVIp1 EVIp2 LSTdayA1
LSTdayA2 LSTdaymax
Min. :0.000e+00 Min. :0.000e+00 Min. :-0.3000
Min. :-0.45415 Min. : 0.0 Min. : 0.0 Min. : 0.000
Min. : 0.000 Min. : 0.0
1st Qu.:4.200e-14 1st Qu.:4.100e-14 1st Qu.:-0.1600 1st
Qu.:-0.30000 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.000 1st
Qu.: 0.000 1st Qu.: 0.0
Median :1.087e-01 Median :2.369e-02 Median : 0.5638 Median :
0.18672 Median :258.1 Median :141.9 Median :10.991 Median :
1.141 Median :298.0
Mean :9.665e-02 Mean :2.708e-02 Mean : 0.3528 Mean :
0.08641 Mean :195.3 Mean :126.1 Mean : 8.494 Mean :
1.139 Mean :219.5
3rd Qu.:1.489e-01 3rd Qu.:4.218e-02 3rd Qu.: 0.6415 3rd Qu.:
0.25174 3rd Qu.:267.5 3rd Qu.:200.2 3rd Qu.:11.655 3rd Qu.:
1.485 3rd Qu.:299.6
Max. :3.276e-01 Max. :1.880e-01 Max. : 0.9030 Max. :
0.55256 Max. :360.0 Max. :360.0 Max. :27.253 Max. :
16.695 Max. :308.8
LSTdayp1 LSTdayp2 meannightLST LSTnightA1
LSTnightA2 LSTnightmax LSTnightp1 LSTnightp2
Min. : 0.0 Min. : 0.0 Min. : 0.0 Min. : 0.000
Min. : 0.0000 Min. : 0.0 Min. : 0.0 Min. : 0.0
1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.000
1st Qu.: 0.0000 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.0
Median :264.8 Median :233.0 Median :277.3 Median : 8.162
Median : 0.4818 Median :287.4 Median :256.3 Median :212.2
Mean :196.0 Mean :182.8 Mean :200.3 Mean : 7.675
Mean : 2.1540 Mean :211.1 Mean :190.0 Mean :171.1
3rd Qu.:267.1 3rd Qu.:259.1 3rd Qu.:278.6 3rd Qu.: 9.365
3rd Qu.: 1.8035 3rd Qu.:288.3 3rd Qu.:261.9 3rd Qu.:317.7
Max. :298.9 Max. :351.3 Max. :283.9 Max. :181.431
Max. :154.8919 Max. :293.4 Max. :360.0 Max. :360.0
Error in spixdf2kasc(grids) :
the cellsize should be the same in x and y directions