TY - DATA T1 - Data underlying the MSc research project: Human-nature connectedness of the Teplica stream of Senica PY - 2025/06/30 AU - Shreya Rajmane AU - Vasileios Letsios AU - Youjin Lee UR - DO - 10.4121/874e9667-a19b-4e1b-83d9-ec324c93df52.v1 KW - Urban stream restoration KW - Quality of life KW - Biodiversity KW - Climate adaptation KW - river KW - liveability KW - biophilia KW - human-nature connectedness N2 -

This dataset contains quantitative data on urban stream restoration of the Teplica River in Senica, Slovakia, as part of the research project Human-Nature Connectedness of the Teplica Stream in Senica.

In this research, a combined approach across three themes —Biodiversity, Quality of Life, and Climate Adaptation—was used to assess the current condition of the Teplica stream.

For this case study:

The river was divided into stream segments at 200-meter intervals.
In each segment, different criteria were measured to determine the current situation, using buffer zones of varying radii around the stream, depending on the specific criteria measured.

Two data-driven methods were applied:

Spatial Multi-Criteria Decision Analysis (S-MCDA). S-MCDA was used to weigh and compare the different measured criteria within the objectives of biodiversity, climate adaptation, and quality of life. This method supports decision-making by evaluating and ranking the criteria to identify priority areas for intervention.
Typology Construction. Typology construction, using the k-clustering means, was used to group criteria into homogenous clusters based on similarities, allowing the identification of patterns within the dataset. These clusters help to understand which types of interventions would be most impactful within specific segments of the Teplica stream.

In this dataset both the units of measure and the criteria measured can be found.

ER -