Abstract
Cross-border cooperation has become a key dimension of European integration, supported extensively through EU-Interreg programmes. Yet, the growing density of actors and interconnections creates methodological challenges for mapping and interpreting cross-border governance at the European scale. This article addresses the question of how point- and line-density approaches can represent cross-border governance structures using keep.eu data from Interreg V-A (2014–2020). Based on 5,618 projects and 17,929 partners, GIS-based kernel density methods are applied to compare partner concentrations and cooperation networks across Europe and in three case-study regions. The findings show that point density effectively represents the spatial concentration of actors, while line density better captures the directionality and intensity of cooperation axes, particularly in maritime and large-scale border regions. The study demonstrates that combining both approaches provides a more comprehensive understanding of European cross-border governance and supports evidence-based spatial development.
| Original language | English |
|---|---|
| Article number | 2720503 |
| Number of pages | 9 |
| Journal | Journal of Maps |
| Volume | 22 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 16 Sept 2026 |
Funding
The European network density map was developed in the framework of the ESPON projects CROSSGOV (Governance mechanisms for cross-border functional areas) and Core-IB (Collecting and analysing data for the post-27INTERREG). The paper at hand has not received funding. We thank Nele Lederer for her support with data collection.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
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SDG 17 Partnerships for the Goals
Keywords
- border areas
- cross-border cooperation
- cohesion policy
- European Union
- institutional mapping
- spatial development
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