Unveiling relationships between crime and property in England and Wales via density scale-adjusted metrics and network tools

Scale-adjusted metrics (SAMs) are a significant achievement of the urban scaling hypothesis. SAMs remove the inherent biases of per capita measures computed in the absence of isometric allometries. However, this approach is limited to urban areas, while a large portion of the world’s population still lives outside cities and rural areas dominate land use worldwide. Here, we extend the concept of SAMs to population density scale-adjusted metrics (DSAMs) to reveal relationships among different types of crime and property metrics. Our approach allows all human environments to be considered, avoids problems in the definition of urban areas, and accounts for the heterogeneity of population distributions within urban regions. By combining DSAMs, cross-correlation, and complex network analysis, we find that crime and property types have intricate and hierarchically organized relationships leading to some striking conclusions. Drugs and burglary had uncorrelated DSAMs and, to the extent property transaction values are indicators of affluence, twelve out of fourteen crime metrics showed no evidence of specifically targeting affluence. Burglary and robbery were the most connected in our network analysis and the modular structures suggest an alternative to "zero-tolerance" policies by unveiling the crime and/or property types most likely to affect each other

Bridging the divide: Demographic dynamics and urban–rural polarities during economic expansion and recession in Greece

Demographic processes such as international migration, internal rural–urban movements, and short-range residential mobility are increasingly driven by economic cycles. To assess how economic downturns have influenced demographic dynamics across regions in Greece—perhaps the European country most affected by the 2007 recession—the present study investigates spatial patterns of population increase and decline (2002–2017) in 51 prefectures, evaluating the contribution of natural balance (births minus deaths) and migration to total population growth during economic expansion (2002–2009) and recession (2010–2017). Population increased during economic expansion in semicentral regions with medium-size urban centres, upper economic functions (university and international airport), and road infrastructures. Although natural balance was positive in almost all prefectures, migration contributed the most to population growth during 2002–2009. A generalised population decline was observed during recession, except in coastal areas specialised in tourism, the only regions still attracting migratory flows and maintaining a slightly positive natural balance. The largest urban areas (Athens, Salonika) experienced the highest rate of population decline, thanks to accelerated emigration and a moderately negative natural balance. Population dynamics during economic expansion contributed to increase a traditional density gap between urban and rural areas. Conversely, population dynamics during recession led to a spatial redistribution of population, reducing the gap between urban areas and rural, tourism-specialised coastal districts. Evidence in our study supports a need for further investigation into the role of economic downturns in future population redistribution processes, specifically “shrinking” regions

How diverse is the Ralstonia solanacearum species complex in the South-West Indian Ocean?

National audienceDiversity in the South-West Indian Ocean. Surveys, phylotype analysis and phylogenetic tree by egl sequencing

Reply to `Comment on: Evidence of innate lymphoid cell redundancy in humans'

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How diverse is the Ralstonia solanacearum species complex in the South-West Indian Ocean?

National audienceDiversity in the South-West Indian Ocean. Surveys, phylotype analysis and phylogenetic tree by egl sequencing