Mapping Population Dynamics at Local Scales Using Spatial Networks

Nowadays, around half of the global population lives in urban areas. This rate is expected to increase up two-thirds by year 2050. Most studies analyze dynamics wide geographic ranges, focusing mainly on cities. According them, spatially distributed (and polarized) two extremes: large agglomerations and rural deserts. However, this remark excessively general imprecise. For reason, it remains essential these at other spatial scales. A close-up look thinly populated regions shows how are also noticeable. In paper, we spatiotemporal patterns distribution a predominantly area applying local-scale approach. These represented using networks with nodes representing human settlements links showing hierarchies between nodes. case study conducted small municipality located northwestern Spain. It very particular pattern distribution.