Data underlying the MSc research project: Urban Stream Restoration of Teplica in Senica, Slovakia

This dataset contains quantitative data on normalization of 8 different MCDA aspects based on spatial geometry alongside stream Teplica, to show the suitability of areas to be prioritised in sustainable stream restoration efforts based on biodiversity, climate adaptation, and quality of life. This dataset is student work created as part of the TU Delft BK course ARFW0501 Applied Spatial Analysis for Sustainable Urban Development (2024/25 Q4). Additional details about the project can be accessed at https://github.com/sdgis-edu-tud/report-asa2025-groupc.git.

本数据集包含基于特尔皮察河（Teplica）沿岸空间几何特征的8项多准则决策分析（Multi-Criteria Decision Analysis, MCDA）维度的归一化定量数据，旨在基于生物多样性、气候适应性与生活质量指标，筛选可优先开展可持续河流修复工作的区域并评估其适配性。本数据集为代尔夫特理工大学（TU Delft）建筑学院（BK）课程ARFW0501《可持续城市发展应用空间分析》（2024/25学年第四季度）的学生作业成果。本项目的更多详细信息可通过链接 https://github.com/sdgis-edu-tud/report-asa2025-groupc.git 获取。