splot - visual analytics for spatial statistics

Jupyter Notebook Python Submitted 26 October 2019 • Published 23 March 2020
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Editor: @leouieda (all papers)
Reviewers: @ResidentMario (all reviews), @martinfleis (all reviews)

Authors

Stefanie Lumnitz (0000-0002-7007-5812), Dani Arribas-Bell (0000-0002-6274-1619), Renan X. Cortes (0000-0002-1889-5282), James D. Gaboardi (0000-0002-4776-6826), Verena Griess (0000-0002-3856-3736), Wei Kang (0000-0002-1073-7781), Taylor M. Oshan (0000-0002-0537-2941), Levi Wolf (0000-0003-0274-599X), Sergio Rey (0000-0001-5857-9762)

Citation

Lumnitz et al., (2020). splot - visual analytics for spatial statistics. Journal of Open Source Software, 5(47), 1882, https://doi.org/10.21105/joss.01882

@article{Lumnitz2020, doi = {10.21105/joss.01882}, url = {https://doi.org/10.21105/joss.01882}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {47}, pages = {1882}, author = {Stefanie Lumnitz and Dani Arribas-Bell and Renan X. Cortes and James D. Gaboardi and Verena Griess and Wei Kang and Taylor M. Oshan and Levi Wolf and Sergio Rey}, title = {`splot` - visual analytics for spatial statistics}, journal = {Journal of Open Source Software} }
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visualization spatial analysis spatial statistics

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Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066