From 927f7587f3db721c83d92fb5f8d83d95a46df29c Mon Sep 17 00:00:00 2001
From: Ann-Kathrin Margarete Edrich <edrich@mbd.rwth-aachen.de>
Date: Wed, 19 Feb 2025 14:56:43 +0100
Subject: [PATCH] Supplementation of "Cite as" section in README.md
---
README.md | 22 ++++++++++++++++++++--
1 file changed, 20 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 868d6f5..833ffd8 100644
--- a/README.md
+++ b/README.md
@@ -78,7 +78,7 @@
## About Shire
SHIRE (**S**usceptibility **H**azard mapp**I**ng f**R**am**E**work) is a tool to facilitate and streamline landslide susceptibility and hazard mapping using a Random Forest classifier. It provides support for repetitive steps in landslide susceptibility and hazard mapping such as input dataset generation including data pre-processing.
-It is a Python-based modular framework that can be complemented with individual modules necessary for answer individual mapping challenges due to the open-access nature of the code.
+It is a Python-based modular framework that can be complemented with individual modules necessary for answering individual mapping challenges due to the open-access nature of the code.
Shire was developed as part of the [KISTE Project](https://kiste-project.de/)
@@ -192,7 +192,25 @@ Project Link: [KISTE Project](https://kiste-project.de/)
## Cite as
-Edrich A., Yildiz A., Kowalski J. (2024) Susceptibility and Hazard Mapping Framework SHIRE [Software]. DOI: https://git-ce.rwth-aachen.de/mbd/shire
+Edrich A., Yildiz A., Kowalski J. (2024) Landslide Susceptibility and Hazard Mapping Framework SHIRE [Software]. https://git-ce.rwth-aachen.de/mbd/shire
+
+@misc{shire,
+ author = {Edrich, Ann-Kathrin and Yildiz, Anil and Kowalski, Julia},
+ title = {{Landslide Susceptibility and Hazard Mapping Framework SHIRE [Software]}},
+ year = {2024},
+ note = {Access under \url{https://doi.org/10.6084/m9.figshare.24339643}},
+}
+
+Corresponding publications:
+Edrich A., Yildiz A., Roscher R., Bast A., Graf F., Kowalski J. (2024) A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning. Natural Hazards 120, 8953–8982. https://doi.org/10.1007/s11069-024-06563-8
+
+@article{edrich2024modular,
+ title = {{A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning}},
+ author = {Edrich, Ann-Kathrin and Yildiz, Anil and Roscher, Ribana and Kowalski, Julia},
+ journal = {Natural Hazards},
+ year = {2024},
+ doi = {https://doi.org/10.1007/s11069-024-06563-8}
+}
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