Regional Disparities and Mobility in the European Space (2000–2024): A Spatial Markov Analysis
An analysis of regional inequality and mobility across European regions using Spatial Markov chains and LISA Markov methods.
The Hellenic Spatial Statistics Lab (HSSL) promotes methodological and applied research in spatial statistics, spatial econometrics, and regional analysis. Particular emphasis is placed on connecting quantitative methods with real questions of spatial development, social and regional inequality, public health, climate vulnerability, and spatial policy.
Spatial dependence and heterogeneity, spatial weights, spatial regression, spatial panels, Bayesian models, and spatial microeconometrics.
Regional convergence and divergence, income inequality, spatial concentration, regional mobility, and development dynamics.
Spatial epidemiology, socio-spatial inequalities in health, urban vulnerability, and resilience to crises.
Climate vulnerability and risk, adaptation to climate change, and the integration of climate considerations into spatial planning.
High-resolution spatial data, spatial clustering, thematic cartography, and geospatial visualisation.
Applications in R and Python, open-source code, reusable workflows, and educational resources.
The dedicated Publications section brings together research outputs associated with HSSL and its team members, using consistent metadata and thematic filters. The most recent publications are displayed automatically below.
HSSL research activities are supported by:
The section is progressively enriched with new publications, research findings, and open resources produced by the team.