Dear R Researcher,
I need some suggestions to finish to write the "layer/bins density index" because, this is the true, some part is over my capacity. I write this index for a points (shapefile format) inside my experimental plots and this index write. The code of this index for my plots 11 is the following (sorry if I don't use loop): # Canopy Density (D): is compute as the proportions of first pulse laser hits above fraction no. 0(> 2 m), 1, . . .., 9 to total # number of first pulses. Fraction is obtain divide the canopy column into 10 vertical layers/bins by(Hmax-2)/10 # create and save a new shapefile with only the column: "ID" and "H" canopy_plots_all <- readOGR(".", "canopy_plots_all") canopy_plots <- canopy_plots_all[, c("ID","H")] proj4string(canopy_plots) <- CRS("+init=epsg:26911") # max value of plot points 11 Hmax.canopy_plots11 <- max(canopy_plots11$H) # calculate the Height of each layer/bins "Hbins=(H max - 2)/10" Hbins_plots11 <- (Hmax.canopy_plots11-2)/10 # number of hits (laser pulses) inside the plots 11 (this code gives me the count numbers of laser hits) sum.canopy_plots11 <- sum(canopy_plots11$H <= Hmax.canopy_plots11) # Canopy Density: is a cumulative density of number of hits (laser pulses) above the layer/bin-i D.canopy_plots11_0 <- (sum(canopy_plots11$H > 2))/sum.canopy_plots11 D.canopy_plots11_1 <- (sum(canopy_plots11$H > 2 + Hbins_plots11))/sum.canopy_plots11 D.canopy_plots11_2 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*2))/sum.canopy_plots11 D.canopy_plots11_3 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*3))/sum.canopy_plots11 D.canopy_plots11_4 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*4))/sum.canopy_plots11 D.canopy_plots11_5 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*5))/sum.canopy_plots11 D.canopy_plots11_6 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*6))/sum.canopy_plots11 D.canopy_plots11_7 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*7))/sum.canopy_plots11 D.canopy_plots11_8 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*8))/sum.canopy_plots11 D.canopy_plots11_9 <- (sum(canopy_plots11$H > 2 + Hbins_plots11*9))/sum.canopy_plots11 Now in my patch area I am creating 10 Density grid(s) with 10x10 m of resolution (each for a layer/bin). The code I wrote: # Patch - 2644147 canopy2644147 <- readOGR(".", "canopy2644147") proj4string(canopy2644147) <- CRS("+init=epsg:26911") dcm.area2644147 <- (canopy2644...@bbox[1,2]-canopy2644...@bbox[1,1])*(canopy2644...@bbox[2,2]-c anopy2644...@bbox[2,1]) dcm.pixelsize2644147 <- 10 #resolution dcm.pixelsize2644147 dcm.grid2644147 <- GridTopology(cellcentre.offset=c(canopy2644...@bbox[1,1],canopy2644...@bbox[ 2,1]), cellsize=c(dcm.pixelsize2644147,dcm.pixelsize2644147), cells.dim=c(round((canopy2644...@bbox[1,2]-canopy2644...@bbox[1,1])/dcm.pixe lsize2644147,0),round((canopy2644...@bbox[2,2]-canopy2644...@bbox[2,1])/dcm. pixelsize2644147,0))) dcm.grid2644147 dcm2644147 <- as(SpatialGrid(dcm.grid2644147, proj4string = CRS(as.character(NA))), "SpatialGridDataFrame") ID <- as.factor(1:(dcm.grid2644...@cells.dim[1]*dcm.grid2644147@cells.dim[2])) dcm2644...@data <- as.data.frame(ID) proj4string(dcm2644147) <- CRS("+init=epsg:26911") str(dcm2644147["ID"]) # first overlay points over the grid and then derive summary measures canopy2644147.ov <- overlay(dcm2644147["ID"], canopy2644147) canopy2644147.ov$H <- canopy2644147$H # Hmax canopy2644147max.H <- aggregate(canopy2644147.ov$H, by=list(canopy2644147.ov$ID), FUN="max") names(canopy2644147max.H)[1] = "ID" # calculate the Height of each layer/bins "Hbins=(H max - 2)/10" # create a copy of "canopy2644147max.H" because we need after Hbins_canopy2644147 <- canopy2644147max.H Hbins_canopy2644147$x <- (Hbins_canopy2644147$x -2)/10 Here start my limit. I tried two day several solution with obtain the total number with aggregate() and after to use the similar expression above. Sorry If I was not clear Thanks for suggestion and help Alessandro [[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