Data · dataset · 2026
Dataset for Analysis of Bioregional Development Scenarios in Latvia
Listed in DataverseLV
This dataset contains the complete set of expert evaluations and the full Analytic Hierarchy Process (AHP) calculation workflow used in the scientific publication “Analysis of Bioregional Development Scenarios in Latvia”.
Description
The AHP method was applied to identify and evaluate the criteria influencing the suitability of different bioregional development scenarios across Latvia’s regions, determining the relative importance of social, economic, ecological, and cultural dimensions through expert assessments and multi-criteria analysis.
The dataset reflects the pairwise comparison judgments provided by six experts. The data were collected to assess the importance of criteria and sub-criteria when evaluating three bioregion development scenarios in Latvia: the Broad Integration Scenario, the Conservative Scenario, and the Culture and Tourism Scenario. The dataset includes individual expert files containing each expert’s complete pairwise comparison matrices based on Saaty’s 1–9 scale, as well as the corresponding normalized values for all comparisons.
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These files represent the full set of primary expert judgments and the column-wise normalized matrices used in the Analytical Hierarchy Process (AHP) evaluation. This dataset ensures full transparency and reproducibility of the analytical process, fully aligned with the methodological approach used in the scientific publication, and includes metadata on expert selection, methodological principles, and quality control procedures.
Links
Where it is published
- Dataverse dataset page dv.dataverse.lv/dataset.xhtml?persistentId=doi%3A10.71782%2FDATA%2FJFRVUV ↗
landing page · from dv dataverse lv
- DOI doi.org/10.71782/data/jfrvuv ↗
DOI / persistent id · from dv dataverse lv
Catalogue records · 1
- Dataverse API dv.dataverse.lv/api/datasets/:persistentId/?persistentId=doi%3A10.71782%2FDATA… ↗
metadata API · from dv dataverse lv
Topics
- Stated by source
- Social Sciences
- From keywords
- Social Science
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataverseLV | doi:10.71782/DATA/JFRVUV | 12 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | /subjects |
| created_date | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | |
| description | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | /description |
| publication_date | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | |
| title | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | /name |
| updated_date | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 | |
| version_label | source · dv dataverse lv | connector:dv_dataverse_lv@1.0.0 |