Nic

Add progress bar

1

Dealing with big-but-not-huge datasets, some operations get quite long. Other times they simply freeze but you don't have an idea of it as long as R/Rstudio crashes. A recent case...

Ciao Carlos, first of all: many thanks for this package! I'm playing around with it and, re-running the basic process to obtain gap stats (as described in your example) I...

sieve returns a raster with values rounded to integer

6

Running `sieve(r, 4, 4)` on a Canopy Height Model with values spanning from 2 to 45 meters, clumps seem to be removed but all the other values of the output...

update with method for Spatrasters

9

Adapted the code to work with `SpatRaster` from the `terra` package and added the possibility to output the lines as an `sf` object. There's a horrible workaround to solve a...

I'm working on a binary classification using `randomForest` on a `SpatRaster`. The training data includes two binary (0,1) factor variables, one of which is the target of the classification. Once...

Inconsistent behaviour of mask across resolutions

3

Hi, dealing with an analysis over a wide area (few squared km), I need to mask some objects making use of the option `inverse=TRUE`. If I use a 1 metre...

Record position as RINEX

8

Hi, I post it here as a possible idea for a future enhancement /plugin. Roaming a bit looking for a way to record RINEX data from the device’s internal GPS...

Algorithms with code

7

Ciao JR, looking for algos related to LiDAR analyses, I found the following ones providing also the code. Unfortunately it's MATLAB but I saw that -having its IDE- there's the...

.prepareFastSubset error in skeletonize_pc

1

Hi, using `skeletonize_pc` with default parameters I'm getting the following error: ``` (1/4) Computing layers [==========================] 100% (2/4) Clustering layers [==========================] 100% (3/4) Building skeleton [==========================] 100% (4/4) Computing topology...

Hi, I was willing to test some more averaging functions but I noticed that, differently from the internally implemented functions, R functions like plain `base::mean()` or `stats::median()` return the following...