additional to the
X = as(X, "SpatialPixelsDataFrame")
etc. there's a helper function that toggles between them; try:
fullgrid(X) = TRUE
class(X)
fullgrid(X) = FALSE
class(X)
--
Edzer
Agustin Lobo wrote:
> I understand, but how do I convert between one type and the other?
> I've tried:
>
> x <- GDAL.open("C:/ALOBO/dipu2006/STLL_VEG2006/ESTRAT3_OBAC.tif")
> ESTRAT3OBAC <- asSGDF_GROD(x, output.dim=c(118,189))
> GDAL.close(x)
> [EMAIL PROTECTED]@data==55537]<- NA
> X <- ESTRAT3OBAC[seq(1,118,by=10),seq(1,189,by=10)] #small example
> > summary(X)
> Object of class SpatialGridDataFrame
> Coordinates:
> min max
> x 410649.7 415399.7
> y 4607910.5 4610910.5
> Is projected: TRUE
> proj4string : [ +proj=utm +zone=31 +ellps=intl +units=m +no_defs]
> Number of points: 2
> Grid attributes:
> cellcentre.offset cellsize cells.dim
> x 410774.7 250 19
> y 4608035.5 250 12
> Data attributes:
> band1
> Min. : 4.0
> 1st Qu.: 67.0
> Median :156.0
> Mean :125.8
> 3rd Qu.:163.0
> Max. :237.0
> NA's :119.0
>
> > Y <- SpatialPixels(X)
> > summary(Y)
> Object of class SpatialPixels
> Coordinates:
> min max
> x 410649.7 415399.7
> y 4607910.5 4610910.5
> Is projected: TRUE
> proj4string : [ +proj=utm +zone=31 +ellps=intl +units=m +no_defs]
> Number of points: 2
>
> So X and Y are not the same at all.
>
> Thanks for your help.
>
> Agus
>
>
> Edzer J. Pebesma escribió:
>> Not only to avoid NAs, but also to get approximately right sample size.
>>
>> Stratified sampling does not take place based on strata defined by
>> attributes (map layers), but rather by dividing the area into square
>> blocks (strata) and randomly sample (n=1) from each block. That is
>> why the resulting sample doesn't have exactly the
>> prescribed/requested size (although one could iterate). See also
>> Ripley 1981 Spatial Statistics for explanation.
>>
>> Best wishes,
>> --
>> Edzer
>>
>> Roger Bivand wrote:
>>> There are two forms of sp objects for grids, SpatialPixelsDataFrame
>>> and SpatialGridDataFrame, and you need the former to avoid NAs. I am
>>> not sure how to proceed without access to a copz of zour data to see
>>> whz spsample is including the NA cells.
>>>
>>> Roger
>>>
>>> --- Roger Bivand, NHH, Helleveien 30, N-5045 Bergen,
>>> [EMAIL PROTECTED]
>>>
>>> ________________________________
>>>
>>> Od: Agustin Lobo w imieniu Agustin Lobo
>>> Wys³ano: Cz 21.06.2007 09:41
>>> Do: Roger Bivand
>>> DW: R-sig-Geo@stat.math.ethz.ch
>>> Temat: Re: ODP: [R-sig-Geo] spsample and NA
>>>
>>>
>>>
>>> The test with meuse.grid works:
>>>
>>> #copied from file:SpatialGridDataFrame-class.html
>>> coordinates(meuse.grid) = c("x", "y") # promote
>>> toSpatialPointsDataFrame
>>> gridded(meuse.grid) <- TRUE # promote to SpatialPixelsDataFrame
>>> x = as(meuse.grid, "SpatialGridDataFrame") # creates the full grid
>>> #Now me:
>>> > unique([EMAIL PROTECTED])
>>> [1] NA 1 2 3
>>>
>>> > table([EMAIL PROTECTED])
>>> 1 2 3
>>> 1665 1084 354
>>>
>>> test.stsamp <- spsample(x, n = 10, "stratified")
>>> o <- overlay(x, test.stsamp)
>>> > o
>>> coordinates part.a part.b dist soil ffreq
>>> 5556 (179156, 330917) 0 1 0.1030270 1 1
>>> 6670 (180039, 330336) 0 1 0.0703333 1 2
>>> 2240 (180677, 332606) 1 0 0.0975136 1 1
>>>
>>>
>>> But don't know how to make that my raster behave in the same way. What
>>> does it mean "cast to SpatialPixels first"? I thought that as
>>> X comes from an imported raster it was an sp object already.
>>>
>>> Also, there are several components in the x coming from meuse.grid:
>>> str(x)
>>> Formal class 'SpatialGridDataFrame' [package "sp"] with 6 slots
>>> ..@ data :'data.frame': 8112 obs. of 5 variables:
>>> .. ..$ part.a: num [1:8112] NA NA NA NA NA NA NA NA NA NA ...
>>> .. ..$ part.b: num [1:8112] NA NA NA NA NA NA NA NA NA NA ...
>>> .. ..$ dist : num [1:8112] NA NA NA NA NA NA NA NA NA NA ...
>>> .. ..$ soil : num [1:8112] NA NA NA NA NA NA NA NA NA NA ...
>>> .. ..$ ffreq : Factor w/ 3 levels "1","2","3": NA NA NA NA NA NA NA
>>> NA NA NA ...
>>>
>>> how does spsample know which layer has to be used for the
>>> stratification?
>>>
>>> Thanks!
>>>
>>> Agus
>>>
>>> Roger Bivand escribió:
>>>
>>>> I think that if you cast to SpatialPixels first, the problem will
>>>> go away, because the all-NA cases are dropped with their
>>>> coordinates. Could you try the same example with meuse.grid and see
>>>> how it goes?
>>>>
>>>> Roger
>>>>
>>>> ---
>>>> Roger Bivand, NHH, Helleveien 30, N-5045 Bergen, [EMAIL PROTECTED]
>>>>
>>>> ________________________________
>>>>
>>>> Od: [EMAIL PROTECTED] w imieniu Agustin Lobo
>>>> Wys³ano: ¦r 20.06.2007 10:11
>>>> Do: R-sig-Geo@stat.math.ethz.ch
>>>> Temat: [R-sig-Geo] spsample and NA
>>>>
>>>>
>>>>
>>>> It is often the case, at least with raster (grid) objects,
>>>> that you are not interested on a part of the raster.
>>>> For example because it's outside a non.rectangular region of study
>>>> and/or because some types of terrain (some classes) are outside
>>>> the scope of the study. In any case, those parts can be
>>>> represented by NA.
>>>>
>>>> Unfortunately, while some functions like table() would not
>>>> include the NA in the statistics, spsample includes
>>>> the NA as just another class, which implies that a fraction
>>>> of the resulting coordinates will lay on the NA
>>>> part of the raster. This makes it difficult, to get N valid (i.e., not
>>>> on NA parts) points using spsample. Is there any way around this?
>>>> For example, if I want 10 points on non-NA cells of
>>>> raster X, I would like
>>>>
>>>> spsample(X, 10, "stratified")
>>>>
>>>> to provide 10 positions on non-NA cells.
>>>>
>>>> At the moment, I get:
>>>>
>>>> x <- GDAL.open("C:/ALOBO/dipu2006/STLL_VEG2006/ESTRAT3_OBAC.tif")
>>>> ESTRAT3OBAC <- asSGDF_GROD(x, output.dim=c(100,100))
>>>> GDAL.close(x)
>>>>
>>>> [EMAIL PROTECTED]@data==55537]<- NA
>>>>
>>>> X <- ESTRAT3OBAC
>>>> X$cut <- as.ordered(cut(X$band1, c(0,10,100),include.lowest=TRUE))
>>>> table(X$cut)
>>>>
>>>> [0,10] (10,100]
>>>> 83 1961
>>>>
>>>> summary(X$cut)
>>>> [0,10] (10,100] NA's
>>>> 83 1961 7956
>>>> table(X$cut)
>>>>
>>>> [0,10] (10,100]
>>>> 83 1961
>>>>
>>>> Xspsample <- spsample(X,10,"stratified")
>>>> Xo <- overlay(X,Xspsample)
>>>> summary(Xo)
>>>> Object of class SpatialPointsDataFrame
>>>> Coordinates:
>>>> min max
>>>> x1 410995.6 414954.4
>>>> x2 4608002.1 4610566.0
>>>> Is projected: TRUE
>>>> proj4string : [ +proj=utm +zone=31 +ellps=intl +units=m +no_defs]
>>>> Number of points: 9
>>>> Data attributes:
>>>> band1 cut
>>>> Min. : 67 [0,10] :0
>>>> 1st Qu.: 97 (10,100]:3
>>>> Median : 159 NA's :6
>>>> Mean :24745
>>>> 3rd Qu.:55537
>>>> Max. :55537
>>>>
>>>> That is, I get 6 positions on NA values of X
>>>>
>>>> Thanks!
>>>>
>>>> Agus
>>>>
>>>> --
>>>> Dr. Agustin Lobo
>>>> Institut de Ciencies de la Terra "Jaume Almera" (CSIC)
>>>> LLuis Sole Sabaris s/n
>>>> 08028 Barcelona
>>>> Spain
>>>> Tel. 34 934095410
>>>> Fax. 34 934110012
>>>> email: [EMAIL PROTECTED]
>>>> http://www.ija.csic.es/gt/obster
>>>>
>>>> _______________________________________________
>>>> R-sig-Geo mailing list
>>>> R-sig-Geo@stat.math.ethz.ch
>>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>>>>
>>>>
>>>>
>>>>
>>>
>>> --
>>> Dr. Agustin Lobo
>>> Institut de Ciencies de la Terra "Jaume Almera" (CSIC)
>>> LLuis Sole Sabaris s/n
>>> 08028 Barcelona
>>> Spain
>>> Tel. 34 934095410
>>> Fax. 34 934110012
>>> email: [EMAIL PROTECTED]
>>> http://www.ija.csic.es/gt/obster
>>>
>>>
>>>
>>> [[alternative HTML version deleted]]
>>>
>>>
>>> ------------------------------------------------------------------------
>>>
>>>
>>> _______________________________________________
>>> R-sig-Geo mailing list
>>> R-sig-Geo@stat.math.ethz.ch
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>>>
>>
>>
>
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