This GIS study applies Geographically Weighted Regression (GWR) to investigate the spatial relationship between Purchasing Power Index (PPI) and the distribution of gambling-related retail establishments within the city of Madrid. My aim is to account for spatially varying relationships driven by local urban contexts, under the assumption that the relationship between socioeconomic conditions and the presence of gambling venues varies across urban space. My hypothesis is that the socioeconomic conditions of the urban fabric can be a breeding ground for the location of betting shops, or in other words, I am attempting to Detect Urban Vulnerability to Gambling Harm.
Category Archives: APUESTAS
Spatial relationship between “high schools” and “betting shops” in Madrid. A first approach (1)
It is a fact that a betting shop should not be close to a secondary school. Its obvious the impact on population ranging 12-17 could be higher than in other. How near? 100m? 500m? Euclidean distance or following the street network?. In any case, if I choose for instance a range of 500m, for example, 81% of betting shops in Madrid have secondary schools within that distance (258 out of 316). Looking at it from the secondary schools’ point of view, almost 60% of secondary schools have betting shops within 500m (171/291). This is undoubtedly an issue that needs to be addressed.
Geovisualization.net 