I’m currently working with an sf object in R that uses EPSG:4326 (WGS 84) and encountered a challenge. When I use st_valid() to check for invalid geometries, it identifies two records as invalid. However, applying st_make_valid() to correct these geometries results in several geometries turning into empty geometries, which weren’t problematic in the original dataset.

Closed 2 days ago.

Closed 2 days ago.

enter image description hereI am trying to automate asking chatGPT a question, have it respond, then add a follow-up question, and have it respond again “remembering” the first question I asked and its first response.

I am looking for an R/Python function or package for estimating the parameters of a univariate distribution consisting in a mixture of two components: an exponential part and a normal part.

I am novice in coding and for now know only very basics, sorry for bothering.
I have a dataset, table with 4 column: 1 – number of circle, 2 and 3 – X and Y coorditates of circle respectively (from 1 to 100), 4 – radius of circle. Visually this is look like in the picture.
Many circles are intersecting. enter image description here

I am an R user trying to learn python.

I am using R to try and download class=Reptilia in Madagascar regarding the reproduction modes from the GBIF databas. For that, I am following this code to download, but shown my this No encoding supplied: defaulting to UTF-8.
[1] “No data found for the specified country.”

I have this linear graph, I expect that breakpoints must be at ~10, ~125, ~220 positions (red lines), how can I find them? enter image description here

I’m writing code to perform exploratory dataset analysis and as part of this I would like to plot some of the variables in the dataset. I would like to have a function to generate the plot objects that then can be called upon and displayed as needed in the Jupyter Notebook. In R I can something like this: