Urban‑Forest‑Structure‑3D‑Indicators-Replication

This repository provides a Binder-ready environment to reproduce the analyses presented in the study
Localized Assessment of Urban Forest Structures with 3D Indicators, published in Ecological Indicators (2026). It complements the Replication Package for: Localized assessment of urban forest structures with 3D indicators published at ioerDATA, the institutional research data publication repository of the Leibniz Institute of Ecological Urban and Regional Development (IOER). For further information and access to the full data, code, and documentation used in this study, please see the Replication Package for: Localized assessment of urban forest structures with 3D indicators.

Click the link below to open this repository in an executable Binder environment in your browser:

Data and File Overview

├── data/
├── notebooks/
├── README.md
├── .here
├── apt.txt
├── install.R
├── LICENSE
└── runtime.txt

Name	Type	Description
data/	Folder	Contains the datasets needed for running the notebooks.
notebooks/	Folder	Jupyter notebook that reproduces the analyses and figures from the article.
README.md	File
.here	File	Placeholder file, used by the R package here, to locate the project root.
apt.txt	File	Lists system dependencies installed by Binder before launching the environment.
install.R	File	R script to install all required R packages for running the notebooks, ensuring correct environment setup in Binder or locally.
LICENSE	File	Contains the MIT license under which this repository and its code are released.
runtime.txt	File	Specifies the R version for the Binder environment (e.g., r-4.2).

R version used in the notebook

The notebook containing the R code was written with R 4.2, which is the most recent R version currently supported by repo2docker.

Compared with newer R releases, this mainly affects the interoperability between terra and sf:

• Starting with terra ≥ 1.7, native conversion between SpatRaster/SpatVector objects and sf objects is provided.
• In earlier terra releases this direct interoperability was not available, so conversions had to be performed manually (e.g., via intermediate Spatial* objects).

Recommended Citation:
Münzinger, Markus; Burghardt, Dirk; Behnisch, Martin, 2025, "Replication Package for: Localized assessment of urban forest structures with 3D indicators", https://doi.org/10.71830/CDAXYF, ioerDATA, V1