This article presents the main results of a study on the trajectory of the LEADER rural development method in Andalusia during its thirty years of existence. Furthermore, it reports on the challenges it has overcome in recent years through the diversification and improvement of the quality of life projects promoted by the Andalusian Local Action Groups. For this purpose, the evolution of rural tourism projects and the different options related to the use of territorial resources are analyzed, together with their connection with European guidelines focused on smart growth. Taking previous research on preceding periods as a reference, emphasis is placed on the projects promoted during the last two phases of LEADER implementation, analysing the institutional sources and contrasting them with the detailed information collected in the online portals of the 51 Andalusian LEADER Rural Areas. The results reveal a consolidation of the trend indicated by other studies regarding the maturity and growing presence of tourism initiatives and a commitment to innovation, sustainability and specialisation in investment. In addition, the difficulties associated with their integration into Rural Development Programmes are recognized, requiring improvement proposals for the next period 2023-2027, which is currently in the design process.

There are few studies that have developed estimations of the vulnerability of the population to isolation as a result of flood events. The main objective of this study was to provide a methodological proposal that addresses this matter through a series of cartographic instruments. To this purpose, the method was tested in a study area classified as area with significant potential flood risk (ARPSI) in southern Spain. Three methodological proposals were designed to define: (1) the population likely to be isolated within the flood area; (2) the population liable to be isolated by cuts to access roads outside the flood area; (3) the main workplaces involving concentrations of population likely to be isolated. The results demonstrate that the study area has a high degree of vulnerability to the flood risk. The methodological proposal provides detailed results at local level, which is a highly functional tool for flood risk managers. This research shows that, just as in the case of hazard, a deep and detailed knowledge of vulnerability and its consequent problems leads to a better management of flood risk.

Este artículo presenta un análisis espacio-temporal sobre asesinatos de mujeres en León, Guanajuato. A partir de los crímenes georreferenciados (2016-2020) por María Salguero, se proponen algunas hipótesis estadísticas para estudiar sus posibles patrones espaciales. Con ellas se argumenta que femicidios y feminicidios son perpetrados bajo ciertas condiciones ambientales, como el tipo de lugar y el momento del día. Este fenómeno ocurre casi exclusivamente dentro de la zona urbanizada del municipio, y ha variado en su distribución espacial año con año. Los crímenes han tendido a suceder en zonas con un grado de marginación urbana medio, y en zonas de transición entre grados alto y bajo. Una posible medida para su ocurrencia en la vía pública es atender puntos específicos de la ciudad, pero los cometidos en domicilios presentan una distribución aleatoria, lo que sugiere que cualquiera podría ser escenario de un feminicidio. Concluimos con un conjunto de reflexiones y nuevas hipótesis posibles de estudiar.

Se analiza y cartografía, desde la perspectiva del análisis de la gestión del riesgo, la problemática de la aparición, cada vez más habitual, de enjambres de medusas en la Costa del Sol (Málaga, España). El análisis aborda una caracterización separada de los distintos componentes del riesgo. Por una parte, se estudia la peligrosidad utilizando como fuente la información obtenida a través de la App Infomedusa, que ofrece registros diarios de avistamientos registrados por los usuarios de la aplicación, y permite clasificar las playas en función de la frecuencia de aparición de medusas. Asimismo, se categoriza la exposición, esto es, la mayor o menor concentración de usuarios en las distintas playas. Finalmente, mediante indicadores obtenidos a partir de encuestas a los usuarios de las playas, se evalúa la vulnerabilidad frente a la afectación por medusas. Los resultados muestran diferentes niveles de gravedad: la mayor peligrosidad se observa en Málaga y Marbella, tramos de costa que también destacan en la exposición, al mismo nivel que Torrox. La vulnerabilidad es uniformemente alta pero con matices si se atiende los factores que la componen. Los resultados invitan a extender el análisis al resto del litoral para mejorar la gestión de este tipo de riesgo.

The present research analyses the epidemiological bases, the methodology approach and the utility of the Geo-Covid Cartographic Platform to face COVID-19 transmission at an intra-urban scale. Geo-Covid is based on the study of the main drawbacks and limitations of the current risk maps, and the proposed hazard mapping methodology is presented as an alternative approach with a high spatial-temporal accuracy. It is based on 1) the map of neighborhood active focuses of contagion, which are classified according to several hazard indexes, 2) the map of highly-transited areas by potential asymptomatic positives cases and 3) the map of Points of Maximum Risk of contagion. In order to test the effectiveness of the proposed methodology for mapping COVID-19 hazard and risk, it has been applied to Málaga City (Spain) during several stages of the epidemic in the city (2020 and 2021). The neighborhood focus of contagion is proposed as the basic spatial unit for the epidemiological diagnosis and the implementation of mitigation and control measures. After the analysis, it has been concluded that the proposed methodology, and thus, the maps included in the Geo-Covid Cartographic Platform allow a realistic and rigorous analysis of the spatial distribution of the epidemic in real-time.

This study investigates the susceptibility of beaches to jellyfish arrivals, focusing on the summer seasons from 2015 to 2020. The objective was to develop a predictive model that identifies the characteristics of beaches prone to higher jellyfish presence. This research utilized data from the Infomedusa application, with a focus on key structural and circumstantial variables, such as beach orientation, coastal currents, and morphology. Binomial logistic regression was applied to two models to assess the influence of these variables on jellyfish occurrence. The results showed that beaches oriented toward the east and south, with protection from natural or artificial barriers, and those with limited open sea exposure are more likely to experience jellyfish arrivals. Conversely, beaches facing southwest, with opposing currents and freshwater inflows, tend to have lower risks. Although the models’ predictive capacity was moderate, with a 76% validation rate against empirical data, they provided valuable insights for coastal management and risk prevention. The findings highlight the importance of beach-specific characteristics in forecasting jellyfish presence, contributing to more effective coastal protection strategies.