Aleppo R5 urban-recovery screening: auditable research software and official-source retrieval instructions (code-only release)
Abstract
Aleppo R5 urban-recovery screening: research software and reproducibility resources This repository provides the R5 research software accompanying the revised manuscript entitled “Open-data urban recovery prioritisation under budget constraints: a reproducible neighbourhood-scale framework for conflict-damaged Aleppo.” The archive contains Python scripts for geospatial processing, historical source-vintage comparisons, multi-criteria prioritisation, budget-constrained portfolio evaluation, spatial-unit sensitivity analysis, road-network analysis, and figure generation. It also includes a JavaScript portfolio-selection engine, computational environment specifications, official-source retrieval instructions, and SHA-256 source inventories. Reproducibility and verification A fresh computational replay was conducted on 16 October 2026 using the separately maintained internal frozen-source R5 archive. All 34 frozen input hashes were verified. The standard replay passed 12/12 numerical and figure comparisons, while the full geometric replay, including street-unit merging, passed 15/15 comparisons. The manuscript verification passed 190 automated checks without reported errors. These checks establish computational reproducibility within the tested frozen-input environment, not independent field validation. Data availability and licensing limitations This public release contains research software and source-retrieval instructions only. It does not redistribute UNITAR–UNOSAT damage archives, Wikimapia-derived neighbourhood polygons, OpenStreetMap geometries, WorldPop rasters, historical R3 preprocessed datasets, or original derived geospatial results. Complete reproduction of the scientific analysis requires obtaining the relevant historical datasets from their original providers under applicable licensing conditions and reconstructing the required upstream preprocessing. Original author-owned software is released under the MIT License. Third-party datasets and software dependencies remain subject to their respective licenses. Authors Saleem Ahmed Al-Azazi and Khalid AleziFaculty of Engineering and Information Technology, Taiz University, Yemen.
