From 9596d8836c5404d1abe09c9e797bed0157b6a9ba Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mart=C3=AD=20Bosch?= Date: Mon, 15 Nov 2021 19:03:25 +0100 Subject: [PATCH] [ci skip] updated README --- README.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index adf50d6..6eb5b1c 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ # PyLandStats -Open-source Pythonic library to compute landscape metrics within the PyData stack (NumPy, pandas, matplotlib...) +Open-source library to compute landscape metrics in the Python ecosystem (NumPy, pandas, matplotlib...) **Citation**: Bosch M. 2019. "PyLandStats: An open-source Pythonic library to compute landscape metrics". *PLOS ONE, 14(12), 1-19*. [doi.org/10.1371/journal.pone.0225734](https://doi.org/10.1371/journal.pone.0225734) @@ -101,6 +101,11 @@ and then clone the repository and use pip to install it in development mode ## Acknowledgments -* The computation of the adjacency matrix in [transonic](https://github.com/fluiddyn/transonic) has been implemented by Pierre Augier ([paugier](https://github.com/paugier)). +* The computation of the adjacency matrix in [transonic](https://github.com/fluiddyn/transonic) has been implemented by Pierre Augier ([paugier](https://github.com/paugier)) +* Several information theory-based metrics from Nowosad and Stepinski [1] were added by [achennu](https://github.com/achennu) * With the support of the École Polytechnique Fédérale de Lausanne (EPFL) * The Corine Land Cover datasets used for the test datasets were produced with funding by the European Union + +## References + +1. Nowosad, J., & Stepinski, T. F. (2019). Information theory as a consistent framework for quantification and classification of landscape patterns. Landscape Ecology, 34(9), 2091-2101.