Contents
How to loop several raster files in R-geographic information?
So loop over the file name, construct the path to each raster in the DTM and DOM folder, operate on them to get the output raster, and save it, constructing a path in the nDSMs folder: Produces ten rasters in the nDSMs folder. Note this will fail if there’s not one tif in DOM for every tif in DTM.
Do you need to assign raster to flatfile?
You do not need to create a new raster object to extract the values, it just adds unnecessary overhead. Additionally, since all you want is the named flatfile output, and have no other need for the raster name, you do not need assign.
How to access all rasters in a stack?
Your “zipcoords” object seems to represent a common data extent so, rather than creating a list object, why not just create a stack object of your rasters and extract everything at once? If common extents are a problem in the rasters, you can use the “quick=TRUE” argument in stack () to override the extent error.
How to loop over a pair of TIFs?
Now we want to process each pair of tifs. So loop over the file name, construct the path to each raster in the DTM and DOM folder, operate on them to get the output raster, and save it, constructing a path in the nDSMs folder: Produces ten rasters in the nDSMs folder.
How to efficiently import multiple raster (.TIF ) files?
I am an R novice, especially when it comes to spatial data. I am trying to find a way to efficiently import multiple (~600) single-band raster (.tif) files into R, all stored in the same folder.
Where are the TIF files stored in R?
I am trying to find a way to efficiently import multiple (~600) single-band raster (.tif) files into R, all stored in the same folder. Not sure if this matters but note that, when viewed in a folder on my Mac and Windows Parallel VM, there are the following five (5) file formats for each .tif = .TIF; .tfw; .TIF.aux.xml; .TIF.ovr; .TIF.xml.
Can you create all rasters with the correct mask?
The script is run but does not produce any results. Now, with some adjusts, I can create a all rasters with the corrects names, but the iteration mask (polygon selected in each iteration) are not respected.
Which is the best boxplot with no for loops?
But there are much better options. You should look at ?boxplot, especially the examples; there are many examples that apply to your situation. Also, consider ggplot2. For example, try this code, which will plot your data neatly in rows and columns without for loops.
How to plot 100 random points in raster stack?
My goal is to plot (boxplot) 100 random points of this raster stack – to see the variety of that random point in the different layers of my raster stack. I am working in R and my approach would be the following:
Is it possible to create 16 different boxplots?
Although, the code that he suggested: stacks each boxplot above each other and finally the plot is unreadable as there are 16 boxplots. Thus, a good idea is to create 16 different boxplots, one for each metric. I’ve been looking for solutions for this and one is to run this code: