[R-sig-Geo] converting from images or spatialgriddataframes to kasc

[Els Ducheyne]

>
>> 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
>>
>