My GeoServer WFSThis is a description of your Web Feature Server. The GeoServer is a full transactional Web Feature Server, you may wish to limit GeoServer to a Basic service level to prevent modificaiton of your geographic data.WFS, WMS, GEOSERVERhttp://geoserver.sourceforge.net/html/index.phpNONENONEgeonode:AggregatedClimateRisk85The indicator shows the aggregated risk to climate change as the result of combining the following risks scenarios in the intermediate emissions (2070-2100) scenario with absolute exposure: heat stress on population; coastal flood on infrastructure, industry and service sectors; river flood on population; river flood on infrastructure, industry and service sectors; flash flood on cultural sector; wildfire on environment; and droughts on primary sector. The value is in the range from "Very low" to "Very high" risk. See ESPON-CLIMATE 2022 Update Final Report for further details.RSA10, features, AggregatedClimateRisk85EPSG:3035geonode:air_monitoring_station_altitude_CH_EU234 monitoring stations operating during the 2016-2018 period were identified thanks to EEA European Air Quality Portal in the in the Alpine region for measuring the following pollutants: PM10, PM2.5, nitrogen oxides (NOx) including nitrogen dioxide(NO2), sulphur dioxide (SO2), benzene (C6H6), ozone (O3), lead (Pb), Benzo(a)pyrene (BaP), nickel (Ni), arsenic (As), carbon monoxide (CO), cadmium (Cd). Two-thirds of these stations are located in suburban or urban environments and one-third in rural environments. This map illustrates their geographical distribution, together with that of 39 additional stations belonging to the local Swiss monitoring networks and operating in the same period. Of all these stations, 14% and 78% are located at altitudes higher than 1,000 m.a.s.l. and 1,500 m.a.s.l. respectively. Adapting an existing methodology, it has been estimated that approximately 86% of these stations displayed are situated in valleys (see the original text of the RSA9 for details).monitoring stationsEPSG:3034geonode:Alpine_Convention_Perimeter_2025Perimeter of the Alpine Convention region. Updated in 2025 from the previous version (2018).alpine convention, perimeterEPSG:3035geonode:c3s_gi_rgi11_s2_2015_v2Consistent, Alpine-wide glacier inventory (August 2015) with an unprecedented spatial resolution of 10 m (Sentinel 2).glacierEPSG:32632geonode:ShepherdsNetworkCIPRA0This map shows stakeholders in the field of pastoralism in the Alps. This can be Alpine pastoralists and pastoralist organisations, stakeholders from agriculture and agricultural authorities, stakeholders from other relevant projects, advisory institutions and training centres or political representatives. The representation is part of the CIPRA project «Dialogues on wolves – strengthening shepherds’ networks in the Alps». For more information visit: https://www.cipra.org/en/shepherds-networkShepherdsNetworkCIPRA, featuresEPSG:4326geonode:BaP_annual_concentrationThe monitorization of carcinogenic pollutants is essential in determining the air quality of a specific area. Therefore, the extensive monitoring of benzo(a)pyrene (Bap), although occasionally, is carried out throughout the Alpine region, mainly at urban or suburban background locations. Benzo(a)Pyrene concentration levels comply with the EU threshold (1 ng/m3) at most sites, and an overall decrease of concentrations was observed in 2018. The layer shows the annual mean concentration of benzo(a)pyrene (BaP) in 2018 in the Alpine region. Strict exceedances of the EU target value are plotted in red. Indeed, unless a Member State decides the contrary, values in orange are not exceedances according to the current EU rules.Benzo(a)pyrene, B(a)PEPSG:3857geonode:PM2_5_annual_mean_APThe Alps' air quality monitoring results show that PM2.5 pollution is an issue all over the Alpine Convention perimeter. The layer shows the annual mean concentration of PM2.5 in 2018 in the Alps.PM2.5EPSG:3857geonode:popwdistanceculture_kmThe indicator shows average distance to selected cultural amenities in a NUTS 3 region, considering the population density to account for different settlement patterns. Population density was obtained from Eurostat Census grid, service locations were obtained from OpenStreetMaps.features, population, distance, popwdistanceculture_kmEPSG:3035geonode:air_monitoring_sampling_point_BaP_2018The monitorization of carcinogenic pollutants is essential in determining the air quality of a specific area. Therefore, the monitoring of benzo(a)pyrene (Bap) is carried out throughout the Alpine region, mainly at urban or suburban background locations. The layer shows the benzo(a)pyrene (Bap) measurement stations in the Alpine Convention territory in 2018.featuresEPSG:4326geonode:ACB_energyTo accelerate the Alpine energy transition, the Alpine Climate Board advocates for a cross-sectoral governance approach rooted in the Avoid-Shift-Improve logic and aligned with European frameworks like the Green Deal and “Fit-for-55.” With the help of five “energy nexus” – energy’s interfaces with tourism, agriculture, spatial planning, water, and participation/financing – good practices are explored that have the potential to unlock synergies and strengthen local acceptance. Good practices demonstrate the importance of participatory processes, local empowerment, and shared knowledge. Key recommendations include enhancing the role of municipalities, supporting regional energy coordinators, amplifying Alpine voices at the EU level, and adapting regulatory and financial frameworks. A more inclusive, collaborative, and regionally tailored governance model is essential for achieving climate-neutral and climate-resilient Alps.ACB_energy, cross-sectoral, alpine convention, features, energy, governanceEPSG:4326geonode:DisposableHouseIncome_UTF80The indicator shows the disposable income of households collected in Euroastats Regional economic accounts.RSA10, income, economic, household, DisposableHouseIncome_UTF8, featuresEPSG:3035geonode:GovIndexAverage citizens’ perceptions and experiences with corruption, quality and impartiality of three essential public services – health, education and policingcorruption, public services, policing, Government, GovIndex, RSA10, featuresEPSG:3035geonode:o3_longterm_exceedancesThis layer shows the evolution of the exceedances of the long-term ozone objective for the protection of human health in the Alpine region. Here it is possible to observe the yearly number of exceedances of the long-term goal of 120 µg/m3 per station for 2016, 2017, and 2018. The target value for the protection of human health (120 µg/m3, not to be exceeded more than 25 times on average over 3 years) is exceeded at most sites and throughout most of the territory, although Germany and Monaco are exceptions. Inter-annual variability can be noted in those areas, with a higher number of exceedances of the 120 µg/m3 threshold in 2018 compared to the previous years. The long-term objective for the protection of human health (120 µg/m3) and the WHO guideline (100 µg/m3) are exceeded almost everywhere.o3, ozoneEPSG:3857geonode:surveyindicatorsnuts2Average score of responses to question "Taking all things together, how happy would you say you are?" in the survey on Quality of Life conducted for RSA10.happy, life, surveyindicatorsnuts2, features, HappinessEPSG:3035geonode:air_monitoring_sampling_point_HM_2018Heavy metals (mercury, lead, arsenic, and cadmium) concentration levels are low and do not exceed the European limit values. However, although with reduced density, the monitoring of heavy metals is carried out throughout the Alpine region. They are generally measured at background locations, except Austria, whose measurements are mainly oriented towards industrial sites. In Switzerland instead, additional monitoring of all these pollutants is part of the Swiss local networks. The layer shows the heavy metals measurement stations in the Alpine Convention territory in 2018.heavy_metalsEPSG:4326geonode:labourproductivity_4e210f6448ec76ac439a2a1aac26b660Distribution of regional gross value added based on a region’s labour productivity.labourproductivity_4e210f6448ec76ac439a2a1aac26b660, labour, features, RSA10, LabourProductivity, productivityEPSG:3035geonode:LAU_RG_01M_2024_3035Local Administrative Unit, entirely or partially under the perimeter of the Alpine Convention. Based on Eurostat data 2024. EN: © EuroGeographics for the administrative boundariesmunicipalities, features, LAU_RG_01M_2024_3035EPSG:3035geonode:ACB_nbsThis map summarizes highlights from a report of the Alpine Climate Board on nature-based solutions (NbS) in the Alpine region to address climate change impacts. Good practices related to NbS identify key success factors and challenges from eight pilot projects across multiple sectors. They emphasize the need for collaborative, cross-sectoral governance mechanisms, public-private partnerships, and a supportive legal framework to effectively scale NbS initiatives. Recommendations include integrating NbS into policy and planning frameworks, fostering public awareness, and establishing a dedicated Alpine-wide platform for NbS information and coordination.ACB_nbs, governance, solutionsEPSG:4326geonode:air_monitoring_sampling_point_NO2_2018Nitrogen dioxide (NO2) is amongst the pollutants with the highest density of measurement points. These points are distributed over the whole region except for highly mountainous or less densely populated areas. This pollutant monitoring also targets traffic-oriented sites and, to a lesser extent, industrial sites. The layer shows the nitrogen dioxide (NO2) measurement stations in the Alpine Convention territory in 2018.featuresEPSG:4326geonode:air_monitoring_sampling_point_O3_2018Ozone (O3) pollution primarily affects the Alpine region. Indeed, ozone is amongst the pollutants with the highest density of measurement points. These points are distributed over the whole region except for highly mountainous or less densely populated areas. Ozone is primarily measured in rural or (sub)urban background areas. The layer shows the ozone measurement stations in the Alpine Convention territory in 2018.featuresEPSG:4326geonode:air_monitoring_sampling_point_PM10_2018Particulate matter (PM10) is amongst the pollutants with the highest density of measurement points. These points are distributed over the whole region except for highly mountainous or less densely populated areas. PM10 monitoring also targets traffic-oriented sites and, to a lesser extent, industrial sites. The layer shows the particulate matter (PM10) measurement stations in the Alpine Convention territory in 2018.pm10EPSG:4326geonode:air_monitoring_sampling_point_PM25_2018Fairly extensive monitoring of fine particles with a diameter smaller than 2.5 µm (PM2.5) is carried out throughout the Alpine region, mainly at urban or suburban background locations. The layer shows the particulate matter (PM2.5) measurement stations in the Alpine Convention territory in 2018.featuresEPSG:4326geonode:RSA_V_AK_LAU2_2013_Inds_1_9_Population_growthPopulation growth rate (percent). It represents the average annual growth of the population in a specific time frame (2001-2011 or 2002-2012) using the formula: ((Pop_t – Pop_s)/ (Pop_s * (t-s)) where t = last year and s = first year. Demographic trends are not equally spread across the Alps and it is thus not possible to highlight a single trend regarding Alpine population. Moreover, areas affected by population growth and population loss are often located close to each other, suggesting that specific conditions linked to the different administrative units may also play a relevant role in these dynamics. Data show the highest population growth trends in Tyrol and Salzburg (AT); in Haute-Savoie, Savoie and Var (FR); in Valais, Ticino and in Central Switzerland (CH). In these prospering regions, the urbanisation of the urban valley towns is evident. Due to the influence of the growing tourism sector, population gains can be noticed also in remote municipalities that are not easily accessible, particularly in tourist sites in AT, FR,CH and IT. Population loss or stagnation can be observed in the Central-Eastern AT Alps, in the CH Canton of Uri, in areas of the IT Alps and in the upper areas of SL. Agglomeration processes are shown in the Alps, where the population tends to coagulate in the proximity of the urban areas and along the main transportation access routes. Different agglomeration levels can be observed, both within a single country and across countries. In FR, CH and DE, this process seems generally slower, with a lower population decrease in remote areas in comparison with IT and AT, where the situation varies greatly according to the territory considered and is not homogeneous, with a more severe population loss in more remote areas and a stable or increasing population along the main transportation roads and urban areas. Agglomeration processes seem to have gone at a steadier pace in the last 10 years in IT and AT, with respect to FR, DE and CH.RSA5, populationEPSG:3034geonode:PopGrowthTrendPopulation growth calculated from Eurostat data. POPSTAT is Eurostat’s main annual demographic data collection and aims to gather information on demography and migration at national and regional levels by various breakdowns.PopGrowthTrend, Population growth, population, RSA10, featuresEPSG:3035geonode:PrematureDeathsDeaths due to PM2.5 that occur before a person reaches the typical life expectancy for a country stratified by sex and age. Premature deaths are considered preventable if their causes can be eliminated.RSA10, Premature deaths, death, PM2.5EPSG:3035geonode:RiskOfWildfireThe indicator shows the risk of wildfire on environment in the intermediate emissions (2070-2100) scenario with absolute exposure. It is the result of combining the wildfire hazard in the intermediate emissions (2070-2100) scenario and the absolute exposure and vulnerabilility of environment to wildfire. The value is in the range from 1 to 2, being 2 the highest risk and 1 the lowest. See ESPON-CLIMATE 2022 Update Final Report for further details. (ESPON, 2025)RiskOfWildfire, RSA10, features, fireEPSG:3035geonode:GovSatisfactionAverage score of responses to question "How satisfied are you with governance (administration, politics)?" in the survey on Quality of Life conducted for RSA10.politics, satisfaction, governance, GovSatisfaction, RSA10, features, administrationEPSG:3035geonode:InfraServSatisfactionAverage score of responses to question "How satisfied are you with infrastructure and services?" in the survey on Quality of Life conducted for RSA10.InfraServSatisfaction, satisfaction, infrastructure, RSA10, features, serviceEPSG:3035geonode:SociRelSatisfactionAverage score of responses to question "How satisfied are you with social relations?" in the survey on Quality of Life conducted for RSA10.satisfaction, social relations, RSA10, SociRelSatisfaction, featuresEPSG:3035geonode:EnvironmentSatisfactionAverage score of responses to question "How satisfied are you with the environment?" in the survey on Quality of Life conducted for RSA10.RSA10, satisfaction, EnvironmentSatisfaction, environment, featuresEPSG:3035geonode:WorkSatisfactionAverage score of responses to question "How satisfied are you with work and financial security?" in the survey on Quality of Life conducted for RSA10.satisfaction, work, WorkSatisfaction, RSA10, features, financial securityEPSG:3035geonode:EmployedCommuting0The indicator shows share of employed persons commuting to work to NUTS 2 region other than the one they live in. The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.features, RSA10, EmployedCommuting, commuting, employedEPSG:3035geonode:EmployedInServiceShare of employed persons in sectors J (information and communication) and MN (professional, scientific and technical activites; administratice and support service activities) according to NACE categories.EmployedInService, NACE, service sector, RSA10, features, employedEPSG:3035geonode:PovertyRisk1Share of people in NUTS 2 regions that are at risk of poverty or social exclusion. The data is obtained from the European Union Statistics on Income and Living Conditions (EU-SILC) which collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.RSA10, PovertyRisk, poverty, featuresEPSG:3035geonode:WaterBodiesGoodHighEco_poly0The indicator shows the share of waterbodies in good or high ecological status per NUTS3 region calculated from the WISE Water Framework Directive Database.RSA10, WaterBodiesGoodHighEco_poly, water bodies, featuresEPSG:3035geonode:via_alpina_refugesThis layer shows the points of interest, such as huts, special highlights, etc., along the route of the Via Alpina, which connects all eight Alpine countries. Further information can be found on the website via-alpina.org.features, via_alpina_refugesEPSG:4326geonode:via_alpina_cbe3737a4fce6c8db2dac6ab59752499This map shows the route of the Via Alpina, which connects all eight Alpine countries. Further information can be found on the website via-alpina.org.via_alpina, features, CIPRA, via_alpina_cbe3737a4fce6c8db2dac6ab59752499EPSG:4326geonode:yoalinThis map shows some great places and approved destinations from Yoalin-travellers all over the Alps – from hiking and sporty places to touristy spots and curiousities, from hotspots for cuisine & culture as well as natural treasures. For more info visit: www.yoalin.orgyoalinEPSG:4326absabs_2abs_3abs_4acosAddCoveragesAffineAggregateAndareaarea2AreaGridarrayasinatanatan2attributeCountBandMergebandsBandSelectBarnesSurfacebetweenboundaryboundaryDimensionboundedByBoundsbufferBufferFeatureCollectionbufferWithSegmentsCategorizeceilcenterLinecentroidclassifyClassifyByRangeClipcollectGeometriesCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_NearestCollection_SumCollection_UniqueConcatenatecontainsContourcontrastconvertconvexHullConvolveCoveragecosCountCoverageClassStatsCropCoveragecrossesdarkendateDifferencedateFormatdateParsedensifydesaturatedifferencedimensiondisjointdisjoint3Ddistancedistance3Ddouble2boolDownloadDownloadAnimationDownloadEstimatorDownloadMapendAngleendPointenvenvelopeEqualAreaEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingFeatureFeatureClassStatsfloorfootprintsgeometrygeometryTypegeomFromWKTgeomLengthGeorectifyCoverageGetFullCoveragegetGeometryNgetXgetYgetzgrayscalegreaterEqualThangreaterThanGridGroupCandidateSelectionHeatmaphslidIEEEremainderif_then_elseImportinin10in2in3in4in5in6in7in8in9inArrayInclusionFeatureCollectionint2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionIntersectionFeatureCollectionintersectsintersects3DisCachedisClosedisCoverageisEmptyisInstanceOfisLikeisNullisometricisRingisSimpleisValidisWithinDistanceisWithinDistance3DJenksJifflejsonArrayContainsjsonPointerlabelPointlanguagelapplylengthlessEqualThanlessThanlightenlistlistMultiplylitemliteratelogLRSGeocodeLRSMeasureLRSSegmentmapGetmaxmax_2max_3max_4minmin_2min_3min_4mincircleminimumdiameterminrectanglemixmoduloMultiplyCoveragesNearestNormalizeCoveragenorthFixnotnotEqualTonownumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoctagonalenvelopeoffsetOroverlapsPagedUniqueparameterparseBooleanparseDoubleparseIntparseLongpgNearestpiPointBufferspointNpointOnLinePointStackerPolygonExtractionpolygonizePolyLabellerpowpropertyPropertyExistsQuantileQueryqueryCollectionquerySinglerandomRangeLookupRasterAsPointCollectionRasterZonalStatisticsRasterZonalStatistics2RecodeRectangularCliprelaterelatePatternreprojectReprojectGeometryrescaleToPixelsrintroundround_2roundDoublesaturateScaleCoveragesdo_nnsetCRSshadesimplifysinsizeSnapspinsplitPolygonsqrtStandardDeviationstartAnglestartPointStoreCoveragestrAbbreviatestrCapitalizestrConcatstrDefaultIfBlankstrEndsWithstrEqualsIgnoreCasestrIndexOfstringTemplatestrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrStripAccentsstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2strURLEncodeStyleCoveragesymDifferencetantinttoDegreestoRadianstouchestoWKTTransformTransparencyFillunionUnionFeatureCollectionUniqueUniqueIntervalVectorToRasterVectorZonalStatisticsverticeswithin