2 papers
stat.AP2024
Mapping climate change awareness through spatial hierarchical clustering
Gianpaolo Zammarchi, Paolo Maranzano
Climate change is a critical issue that will be in the political agenda for the next decades. While it is important for this topic to be discussed at higher levels, it is also of p…
stat.ME2024
Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
Roy Cerqueti, Paolo Maranzano, Raffaele Mattera
In this paper, we present an extension of the spatially-clustered linear regression models, namely, the spatially-clustered spatial autoregression (SCSAR) model, to deal with spati…