Dear list
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
> summary(aedes.extra)
              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
[1] 0.01
> aedes.extra$meandaylst$ystep
[1] 0.01
> 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

> summary(grids)
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

> test<-spixdf2kasc(grids)
Error in spixdf2kasc(grids) :
 the cellsize should be the same in x and y directions



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