Robert Hijmans comments

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                                            Robert Hijmans

Minimal code to generate "#> Error in x$.self$finalize() : attempt to apply non-function"

Thank you. Linking this to #30.

Minimal code to generate "#> Error in x$.self$finalize() : attempt to apply non-function"

I get the messages the first time I run this, in a new R session (no need to reboot the computer, for me). Here with a further refined approach. ```...

Minimal code to generate "#> Error in x$.self$finalize() : attempt to apply non-function"

It appears that this case has now been fixed; and hopefully most, if not all, other cases as well. Please open a new issue if you find another case of...

spatSample won't create the number of sample requested for each stratum

I believe these issues have now been solved; or at least partly. Feel free to open a new issue if you run into this problem again, and please include a...

spatSample won't create the number of sample requested for each stratum

Thanks. Can you please add two new issues? One to report a possible bug, and please be as specific as possible, by including a reproducible example that recreates this problem....

spatSample won't create the number of sample requested for each stratum

@PetiteTong I suspect that the reason for this is that only very few cells are not NA for all three layers. For "bamboo21" it is less than 1%. ``` 2979387...

spatSample won't create the number of sample requested for each stratum

It is indirect, but by subtracting that number from the number of cells, we can see that where is data in bamboo2 there is data in the other layers: ```...

providing vector attribute tables to dplyr is 40 times slower with terra than with .csv files

Can you provide an example that I can look at?

providing vector attribute tables to dplyr is 40 times slower with terra than with .csv files

Thank you for sharing the file. I have not been able to find anything that I can do to speed things up. read_csv is indeed very fast; but I do...

Issues with reading HDF5 files using `terra::rast()`

Below is what GDAL sees (with "GDALinfo"). It suggests that this file is not organized as a typical geospatial raster file. ``` describe("hd2011010000.scu") # [1] "Driver: HDF5Image/HDF5 Dataset" # [2]...