Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Z coordinates and custom study areas? #77

Open
ViriatoII opened this issue Sep 22, 2021 · 1 comment
Open

Z coordinates and custom study areas? #77

ViriatoII opened this issue Sep 22, 2021 · 1 comment

Comments

@ViriatoII
Copy link

ViriatoII commented Sep 22, 2021

Hey,

Your package is awesome, I'm just missing the feature of using z coordinates. Is this planned for the future?

Here is an implementation of Ripley's K that uses xyz coordinates, I wish we could join the best of both packages!

Also, how do your functions deal with study areas for Monte Carlo Simulations? Do they assume a size and shape? Is it possible to give a custom one?

Cheers,
Ricardo

@ViriatoII ViriatoII changed the title Z coordinates Z coordinates and custom study areas? Sep 22, 2021
@ljwolf
Copy link
Member

ljwolf commented Feb 7, 2022

Hi! Sorry that we've been so delayed in responding here. Yes, definitely would be good to have centralized implementations of Ripley functions into a performant and clear package (scikit-spatstat?). We don't plan to support z axes any time soon, but are happy to incorporate/integrate changes to do so. It should not be too difficult to extend the distance/nearest neighbor computations.

For the Monte Carlo simulations, we simulate reference point patterns inside of a given hull. By default, we simulate within the bounding box of the input pattern. But, we support options using arbitrary Shapley polygons, or computing the convex hull (or concave hull) on the fly & simulating from within that.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants