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We contend that corruption must be detected as soon as possible so that corrective and preventive measures may be taken. Thus, we develop an early warning system based on a neural network approach, specifically self-organizing maps, to predict public corruption based on economic and political factors. Unlike previous research, which is based on the perception of corruption, we use data on actual cases of corruption. We apply the model to Spanish provinces in which actual cases of corruption were reported by the media or went to court between 2000 and 2012. We find that the taxation of real estate, economic growth, the increase in real estate prices, the growing number of deposit institutions and non-financial firms, and the same political party remaining in power for long periods seem to induce public corruption. Our model provides different profiles of corruption risk depending on the economic conditions of a region conditional on the timing of the prediction. Our model also provides different time frameworks to predict corruption up to 3 years before cases are detected.

With the stroke of a pen at the Potsdam Conference following the Allied victory in 1945, Breslau, the largest German city east of Berlin, became the Polish city of Wroclaw. Its more than six hundred thousand inhabitants--almost all of them ethnic Germans--were expelled and replaced by Polish settlers from all parts of prewar Poland.Uprootedexamines the long-term psychological and cultural consequences of forced migration in twentieth-century Europe through the experiences of Wroclaw's Polish inhabitants. In this pioneering work, Gregor Thum tells the story of how the city's new Polish settlers found themselves in a place that was not only unfamiliar to them but outright repellent given Wroclaw's Prussian-German appearance and the enormous scope of wartime destruction. The immediate consequences were an unstable society, an extremely high crime rate, rapid dilapidation of the building stock, and economic stagnation. This changed only after the city's authorities and a new intellectual elite provided Wroclaw with a Polish founding myth and reshaped the city's appearance to fit the postwar legend that it was an age-old Polish city. Thum also shows how the end of the Cold War and Poland's democratization triggered a public debate about Wroclaw's \"amputated memory.\" Rediscovering the German past, Wroclaw's Poles reinvented their city for the second time since World War II. Uprootedtraces the complex historical process by which Wroclaw's new inhabitants revitalized their city and made it their own.

Urban health inequities often reflect and follow the geographic patterns of inequality in the social, economic and environmental conditions within a city—the so-called determinants of health. Evidence of patterns within these conditions can support decision-making by identifying where action is urgent and which policies and interventions are needed to mitigate negative impacts and enhance positive impacts. Within the scope of the EU-funded project EURO-HEALTHY (Shaping EUROpean policies to promote HEALTH equitY), the City of Lisbon was selected as a case study to apply a multidimensional and participatory assessment approach of urban health whose purpose was to inform the evaluation of policies and interventions with potential to address local health gaps. In this paper, we present the set of indicators identified as drivers of urban health inequities within the City of Lisbon, exploring the added value of using a spatial indicator framework together with a participation process to orient a place-based assessment and to inform policies aimed at reducing health inequities. Two workshops with a panel of local stakeholders from health and social care services, municipal departments (e.g. urban planning, environment, social rights and education) and non-governmental and community-based organizations were organized. The aim was to engage local stakeholders to identify locally critical situations and select indicators of health determinants from a spatial equity perspective. To support the analysis, a matrix of 46 indicators of health determinants, with data disaggregated at the city neighbourhood scale, was constructed and was complemented with maps. The panel identified critical situations for urban health equity in 28 indicators across eight intervention axes: economic conditions, social protection and security; education; demographic change; lifestyles and behaviours; physical environment; built environment; road safety and healthcare resources and performance. The geographical distribution of identified critical situations showed that all 24 city neighbourhoods presented one or more problems. A group of neighbourhoods systematically perform worse in most indicators from different intervention axes, requiring not only priority action but mainly a multi- and intersectoral policy response. The indicator matrices and maps have provided a snapshot of urban inequities across different intervention axes, making a compelling argument for boosting intersectoral work across municipal departments and local stakeholders in the City of Lisbon. This study, by integrating local evidence in combination with social elements, pinpoints the importance of a place-based approach for assessing urban health equity.

In this paper, we present a multidimensional fuzzy analysis of the levels and the patterns of poverty and social fragility of migrants’ families, in the Italian region of Lombardy, in year 2014. Migrants’ poverty emerges as a complex trait, better described as a stratification of nuanced patterns than in black and white terms; Lombard migrants are in fact affected, to different extents, by “a diffused sharing of deprivation facets” and cannot be trivially split into deprived and non-deprived. The paper employs innovative data analysis tools from the Theory of Partially Ordered Sets; compared to mainstream monetary approaches, this leads to more realistic estimates of poverty diffusion and eliminates some well-known biases of standard evaluation procedures, providing strong support to the use of partial order concepts and tools in social evaluation studies.

A detailed map of rock glaciers at a scale of 1 : 40 000 is produced for the Western and High Tatra Mts., Western Carpathians, based on remotely sensed mapping. We inventoried a total of 383 rock glaciers, covering a total area of 13.84 km 2 . Most rock glaciers (85 %) are considered relict (without permafrost). These landforms have an average lower limit of 1684 m asl and occupy a total area of 12.50 km 2 . In contrast, intact rock glaciers (containing permafrost) cover a total area of 1.34 km 2 and their average lower limit is located at 1986 m asl, which is 56 m above the previously suggested lower limit of discontinuous permafrost. The inventory adds new information about rock-glacier occurrence in the European high-mountain areas and improves the understanding of present and past environmental conditions in the region.

The area between the Asco and Golo valleys in Central Corsica, France (latitudes 42°47′95″N to 42°37′96″N, longitudes from 9°11′82″E to 9°20′72″E) is a key-sector to investigate the stratigraphic and tectonic setting of Alpine Corsica. This sector includes (from the structurally lowest to the highest) the Hercynian Corsica, that represents the European continental margin not deeply involved in the convergence processes, and a stack of oceanic and continental units belonging to the Alpine Corsica, i.e. the domain strongly affected by the Alpine deformation and metamorphism in the Late Cretaceous-Paleogene. The 1:15,000 scale geological map illustrates the tectonic features of Alpine Corsica stack with a special focus to the Lower Units, the units derived from the European thinned continental margin involved in the Alpine convergence.

Background Spatial visualization of HIV surveillance data could improve the planning of programs to address the HIV epidemic. The objectives of the study were to describe the characteristics and the spatial distribution of newly diagnosed HIV infection in Catalonia and to identify factors associated with HIV infection rates. Methods Surveillance data from the national registry were presented in the form of descriptive and ring maps and used to study the spatial distribution of new HIV diagnoses in Catalonia (2012–2016) and associated risk factors at the small area level (ABS, acronym for “basic health area” in Catalan). Incident cases were modeled using the following as predictors: type of municipality, prevalence of young men and migrant groups, GBMSM activity indicators, and other variables at the aggregated level. Results New HIV diagnoses are heterogeneously distributed across Catalonia. The predictors that proved to be significantly associated with a higher rate of new HIV diagnoses were ABS located in the city of Barcelona (IRR, 2.520; P  < 0.001), a higher proportion of men aged 15–44 years (IRR, 1.193; P  = 0.003), a higher proportion of GBMSM (IRR, 1.230; P  = 0.030), a higher proportion of men from Western Europe (IRR, 1.281; P = 0.003), a higher proportion of men from Latin America (IRR, 1.260; P = 0.003), and a higher number of gay locations (IRR, 2.665; P  < 0.001). No association was observed between the HIV diagnosis rate and economic deprivation. Conclusions Ring maps revealed substantial spatial associations for the rate of new HIV diagnoses. New HIV diagnoses are concentrated in ABS located in urban areas. Our results show that, in the case of HIV infection, the socioeconomic deprivation index on which the Catalan government bases its budget allocation policies among the ABS should not be the only criterion used.

The sustainability of a territory is closely related to its resources. Due to climate change, the most precious natural resource, water, has been negatively affected by climatic conditions in terms of quantity and quality. CLIMAT datasets of 1 km2 spatial resolution were used and processed in the ArcGIS environment to generate maps of actual evapotranspiration, water availability, and effective precipitation for the periods of 1961–1990 (1990s), 2011–2040 (2020s), and 2041–2070 (2050s). The product is of paramount importance for the analysis of the actual situation in Europe indicating high water availability in the Alps Range, the Carpathians Mountains, Northern European countries, and the British Islands. On the other hand, low water availability has been evidenced in the Southern and Eastern European areas. For the future period (2050s), the monthly potential evapotranspiration is expected to increase by 30%. The climate models also show an increase in the actual evapotranspiration between past and future periods by 40%. The changes in water availability and effective precipitation between the past (1990s) and future (2050s) indicate decreases of 10%. The most affected areas by climate change are located within the Mediterranean areas, the Iberian Peninsula, and Eastern Europe.

This paper describes four methods used to produce dasymetric population density grids combining population data per commune with CORINE Land Cover, a map available for all countries of the European Union. An accuracy assessment has been carried out for five countries for which a very reliable 1-km population density grid exists; the improvement, compared with the choropleth map per commune, ranges between 20% for the weakest result in Finland and 62% for the best result in the Netherlands. The best results are obtained with a method using logit regression to integrate information from the point survey LUCAS (Land Use/Cover Area frame Survey); however, performance differences between methods are moderate. The dasymetric grid is distributed free of charge by the European Environment Agency, for non-commercial use.

Population ageing is a demographic issue that emphasises the need to be interested in the lives of the most vulnerable population group: the elderly population. The paper investigates the ageing process and their relations among the European Union member countries from 2009 to 2019. These countries are assessed and dispersed to the appropriate clusters according to several indicators related to the areas that affect the lives of the elderly population: namely, the health status, the labour market conditions, and financial security. The focus is on the age group 55 years and over as it is a disadvantaged age group in the job application process regarding ageing society. It is a significant aspect of public finance system. The European Union Statistics on Income and Living Conditions, the Labour Force Survey, and the European System of Integrated Social Protection Statistics data are involved. The quantitative approaches are applied in the cluster analysis and followed by the panel data linear regression analysis. The dendrograms visualise the three clusters representing the mutual relations and the ageing patterns among the explored countries. The heat maps are created to prove the potential relations among the observed countries. The panel regression model demonstrates that the three variables – part-time employment, the income inequality, and the material and social deprivation – are statistically significant in all the regression models for the whole area and the three clusters. The analytical outcome could be applied as a valuable resource to government and national representatives. It can help identify the objectionable determinants for a custom policy and implement appropriate measures to improve the situation of the elderly population.