API src

Found 118 results.

Similar terms

s/lichtenstein/Liechtenstein/gi

Average travel time to the nearest hospital in minutes, NUTS3 regions, 2020

This metadata refers to the vector dataset presenting, for NUTS3 regions, the average travel time to the nearest hospital in 2020. The data has been developed by Eurostat to measure how easily basic services can be reached by the resident population, based on spatial analyses of the location of healthcare facilities, combined with the road network. (note this could have been across a national border). The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.

Climatic suitability for the transmission of West Nile Virus (WNV) in Europe (1950-2020), Apr 2023

This metadata refer to the dataset presenting the annual change in the estimated West Nile Virus transmission risk between 1950 and 2020 by country. The risk varies between 0 (no risk) and 1 (very high risk). This indicator uses machine learning models incorporating WNV reported cases and climate variables (temperature, precipitation) to estimate WNV transmission probability. West Nile virus is a climate-sensitive multi-host and multi-vector pathogen. Human infection is associated with severe disease risk and death. In the past few decades, European countries have had a large increase in the intensity, frequency, and geographical expansion of West Nile virus outbreaks. The 2018 outbreak has been the largest yet, with 11 European countries reporting 1584 locally acquired infections. Increasing ambient temperatures are increasing the vectorial capacity of the Culex mosquito vector, and thus increasing the outbreak probability.

Weighted Urban Proliferation (WUP) 2009 (LEAC Grid), Nov. 2016

The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).

CORINE Land Cover Change 1990-2000 (raster 100 m), Europe, 6-yearly - version 2020_20u1, May 2020

Corine Land Cover Change 1990-2000 (CHA9000) is one of the Corine Land Cover (CLC) datasets produced within the frame the Copernicus Land Monitoring Service referring to changes in land cover / land use status between the years 1990 and 2000. CHA is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. CLC service has a long-time heritage (formerly known as "CORINE Land Cover Programme"), coordinated by the European Environment Agency (EEA). It provides consistent and thematically detailed information on land cover and land cover changes across Europe. CLC datasets are based on the classification of satellite images produced by the national teams of the participating countries - the EEA members and cooperating countries (EEA39). National CLC inventories are then further integrated into a seamless land cover map of Europe. The resulting European database relies on standard methodology and nomenclature with following base parameters: 44 classes in the hierarchical 3-level CLC nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres. Change layers have higher resolution, i.e. minimum mapping unit (MMU) is 5 hectares for Land Cover Changes (CHA), and the minimum width of linear elements is 100 metres. The CLC service delivers important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as e.g. protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, monitoring urban land take, assessing developments in agriculture or dealing with water resources directives. CLC belongs to the Pan-European component of the Copernicus Land Monitoring Service (https://land.copernicus.eu/), part of the European Copernicus Programme coordinated by the European Environment Agency, providing environmental information from a combination of air- and space-based observation systems and in-situ monitoring. Additional information about CLC product description including mapping guides can be found at https://land.copernicus.eu/user-corner/technical-library/. CLC class descriptions can be found at https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclature-guidelines/html/.

Climatic suitability for the transmission of zika in Europe (1951-2021), Apr 2023

This metadata refer to the dataset presenting the annual change in the basic reproduction number (R0) for zika transmission in the period 1951-2021. The basic reproduction number of zika from Aedes mosquitos is calculated using a model to capture the influence of temperature and rainfall on mosquito vectorial capacity and mosquito abundance, and overlaying it with human population density data to estimate the R0 (i.e., the expected number of secondary infections resulting from one infected person).

Heat-related mortality per European country (2000-2020), Apr 2023

This metadata refer to the dataset presenting the modelled annual heat-related mortality incidence (annual deaths per million inhabitants) in Europe between 2000 and 2020 Heat-related deaths are estimated to have increased in 931 (94%) of the 990 regions monitored from 2000 to 2020, with an overall mean increase of 15·1 (95% CI –1·51 to 31·6) annual deaths per million inhabitants per decade for the general population, and 60·4 (–17·8 to 138·6) extra deaths per million inhabitants per decade for people 65 years and older.

Landscape fragmentation Effective Mesh Density time-series, 2009: major and medium anthropogenic fragmenting elements (FGA2-S) - version 1.0, Nov. 2019

This dataset is the new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the year 2009. This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39 except these countries: Albania, Bosnia and Herzegovina, Cyprus, Iceland, Kosovo (UNSCR 1244/99), Montenegro, North Macedonia, Romania, Serbia and Türkiye. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.

Climatic suitability for the transmission of dengue by Aedes albopictus in Europe (1951-2021), Apr 2023

This metadata refer to the dataset presenting the annual change in the basic reproduction number (R0) for dengue transmission in the period 1951-2021. The basic reproduction number of dengue from Aedes mosquitos is calculated using a model to capture the influence of temperature and rainfall on mosquito vectorial capacity and mosquito abundance, and overlaying it with human population density data to estimate the R0 (i.e., the expected number of secondary infections resulting from one infected person).

Average travel time to the nearest hospital in minutes – excluding hospitals in potential flood-prone areas, 2020

This metadata refers to the vector dataset presenting, for NUTS3 regions, the average travel time to the nearest hospital in 2020, excluding hospitals located in the EEA potential flood-prone areas (https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28c36420-c31b-440e-80c5-8064696f3517). The data has been developed by Eurostat to measure how easily basic services can be reached by the resident population, based on spatial analyses of the location of healthcare facilities, combined with the road network and the location of hospitals in the EEA potential flood-prone areas. Note that the accessibility could have been calculated across a national border. The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.

EMEP grids reprojected by EEA

The original EMEP grids have been reprojected into the European standard projection in order to facilitate re-use of EMEP information on air emissions, deposition and critical loads in EEA map products. Organisations responsible for delivering national data to EMEP should always use the grid in polar stereographic projection as provided by EMEP (http://www.emep.int/grid/index.html). EEA has reprojected the grid used by EMEP for analyses on air emissions (150*150 km2 and 50*50 km2 grids covering Europe)

1 2 3 4 5 … 10 11 12