Spatial Correlation Relationships: Geographic and Economic Perspectives

In the realm of spatial correlation, two distinct categories can be identified: 'geographic correlation' and 'economic correlation'. The former is characterized by the utilization of two weight matrices, specifically the 'geographic adjacency matrix' w1, which is binary in nature and reflects the adjacency relationship between cities, and the 'geographical distance weight matrix' w2, which is computed based on the spherical distance between city centers as determined by their respective longitudinal and latitudinal coordinates. The latter, on the other hand, pertains to a weight matrix that is founded on the 'economic distance' between cities, as measured by the average GDP per capita spanning the years 2011 to 2019.