Data represents the degree of pressure based on the intensity of sailing vessels and pleasure craft traffic in the Mediterranean Sea (year 2022). The map is based on AIS data aggregated at 1km2 by EMODnet and expressed as total time with presence of vessels in each cell throughout the year. The indicator provides an estimate of the amount of pollution vessels produce (via fuel leaks, oil discharge, waste disposal, etc.), under the assumption that traveling ships primarily affect their immediate waters.
Data showing the percentage of change in the number of tourists arrivals in Mediterranean countries. Data are mostly available by coastal NUTS2 regions for years 2019 and 2022. Data for non European Union countries are available at country level, but only coastal regions are shown on the map to highlight them. Last year reported for Syria and certain regions of Turkey is 2021.
Vulnerability is calculated based on the coverage of Posidonia oceanica and the cumulative tourism pressure in the Mediterranean Sea waters. Pressure points were overlapped with Posidonia habitats polygons and reclassified into vulnerability classes according to a vulnerability matrix. The resulting point layer represents the ecological vulnerability in marine areas in five categories from very low to very high.
Data showing the number of tourists arrivals per km2 in Mediterranean countries indicating the demand of regional tourism infrastructure. Estimation made from a disaggregation of data at NUTS2 (EU countries) or national level (non-EU countries) based on the distribution of accommodation sites available in OpenStreetMap. Last year reported for most non-EU countries and certain regions of France and Turkey is 2021 (2015 for Egypt).
Data shows the number of nights spent at tourist accommodation establishments per km2 in Mediterranean countries. Estimation made from a disaggregation of data at NUTS2 based on the distribution of accommodation sites available in OpenStreetMap.
Data representing the number of tourism establishments per km2 in Mediterranean countries indicating the capacity of regional tourism infrastructure. Estimation made from a disaggregation of data at NUTS2 (EU countries) or national level (non-EU countries) based on the distribution of accommodation sites available in OpenStreetMap. Countries without data were estimated according to the number of accommodation sites. Last year reported for most non-EU countries and certain regions of France, Spain and Turkey is 2021 (2019 for Egypt and Montenegro).
Data represents the percentage of change in the intensity of sailing vessels and pleasure craft traffic in the Mediterranean Sea between years 2019 and 2022. The map is based on AIS data aggregated at 1km2 by EMODnet and expressed as total time with presence of vessels in each cell throughout the year.
Representación del efecto Isla de Calor Urbana mediante la oscilación térmica media anual diurna por grandes barrios en la ciudad de Málagadesde 2003 a 2023. Para la elaboración de la presente información se han utilizado datos MODIS para el cálculo de la diferencia de temperatura entre área urbana y áreas colindantes. Concretamente se utilizan los datos LST (el término "LST" en el contexto de MODIS se refiere a "Land Surface Temperature" en inglés, que significa "Temperatura de la Superficie Terrestre" en español) derivados de MODIS de TERRA (MOD11A2) y AQUA (MYD11A2), disponibles con una resolución de 1000 m × 1000 m. Solo se procesan los píxeles con cielo despejado (nubosidad 0%) para no meter ruido en los cálculos de medias de temperatura. La franja horaria diurna analizada comprende desde las 13:30 a las 22:30 horas, recopilando datos desde el 2003 hasta el 2023 (20 años). En este caso, se ha realizado la diferencia en LST de los píxeles urbanos y los píxeles no urbanos dentro de una extensión urbana, en este caso la definida como entorno urbano de Málaga. Los datos de la capa pueden utilizarse para identificar las áreas urbanas que son más propensas a experimentar el efecto isla de calor en la Ciudad de Málaga.
Representación del efecto Isla de Calor Urbana mediante la oscilación térmica media invernal diurna por grandes barrios en la ciudad de Málaga desde 2003 a 2023. Para la elaboración de la presente información se han utilizado datos MODIS para el cálculo de la diferencia de temperatura entre área urbana y áreas colindantes. Concretamente se utilizan los datos LST (el término "LST" en el contexto de MODIS se refiere a "Land Surface Temperature" en inglés, que significa "Temperatura de la Superficie Terrestre" en español) derivados de MODIS de TERRA (MOD11A2) y AQUA (MYD11A2), disponibles con una resolución de 1000 m × 1000 m. Solo se procesan los píxeles con cielo despejado (nubosidad 0%) para no meter ruido en los cálculos de medias de temperatura. La franja horaria diurna analizada comprende desde las 13:30 a las 22:30 horas, recopilando datos de los meses de diciembre, enero y febrero desde el 2003 hasta el 2023 (20 años). En este caso, se ha realizado la diferencia en LST de los píxeles urbanos y los píxeles no urbanos dentro de una extensión urbana, en este caso la definida como entorno urbano de Málaga. Los datos de la capa pueden utilizarse para identificar las áreas urbanas que son más propensas a experimentar el efecto isla de calor en la Ciudad de Málaga.
Transborder Fix line transect are used to assess amount, composition, and spatial distribution of floating macro litter, bigger than 20 cm, along fixed trans-border transects in the Mediterranean basin. The transects, monitored all year round, cross the south east partof Ligurian Sea, Sardinian Balearic basin, Bonifacio Strait, Central Tyrrhenian Sea, Sicilian Sardinian Channels, Adriatic Sea , and Ionian Sea. The surveyed area en-compasses a large portion of the Mediterranean Sea and falls withinthree MSFD marine subregions: the Western Mediterranean Sea, theAdriatic Sea, the Ionian and Central Mediterranean Sea.