WFSThis is the reference implementation of WFS 1.0.0 and WFS 1.1.0, supports all WFS operations including Transaction.WFS, WMS, GEOSERVERhttp://sedac.ciesin.columbia.edu:80/geoserver/wfsNONENONEipcc:ipcc-synthetic-vulnerability-climate-2005-2050-2100Synthetic Assessment of Global Distribution of Vulnerability to Climate Change: Maps and Data, 2005, 2050, and 2100 consist of maps and vulnerability index to climate change of 100 countries based on the Vulnerability-Resilience Indicator Model (VRIM), which not only presents sensitivity to climate change stresses but allows the division of indicators into components that reflects sensitivity and adaptive capacity. It was produced in collaboration with the Wesleyan University, Joint Global Change Research Insitute, University of Illinois and the Columbia University Center for International Earth Science Information Network (CIESIN).ipcc-synthetic-vulnerability-climate-2005-2050-2100, featuresEPSG:4326crop-climate:crop-climate-effects-climate-global-food-productionThese layers look at the effects of climate change on global food production under SRES emissions and socio-economic scenarios. This layer illustrates an aggregated total of maize, rice, and wheat produced in each country from 2000 to 2006 in tons in each of the countries (FAO).EPSG:4326epi:epi-environmental-performance-index-2010_agricultureThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Agriculture category, we applied principal component analysis (PCA) to determine the weighting for the component indicators. Pesticide Regulation (PEST) received 50% of the policy category weight, Agricultural Subsidies (AGSUB) received 30%, and Agriculture Water Intensity (AGWAT) the remaining 20%. PEST and AGSUB indicators were required in order to calculate the policy category score.EPSG:4326epi:epi-environmental-performance-index-2010_air-pollution-effects-on-ecosystemsThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Air Pollution (effects on ecosystems) category, we had data on ozone exceedences for all countries, and we required that there be data for Sulfur Dioxide (SO2) because of its multiple environmental impacts. If data for any of the other air pollutants was missing, we averaged around them.EPSG:4326epi:epi-environmental-performance-index-2010_air-pollution-effects-on-human-healthThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. The effects of Air Pollution on human health comprise a portion of the Environmental Health objective and is allocated an eighth of the total score. Within Air Pollution (effects on humans) the constituent indicators are equally weighted.EPSG:4326epi:epi-environmental-performance-index-2010_biodiversity-and-habitatThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Biodiversity and Habitat category, if the Marine Protected Areas (MPAEEZ) and Critical Habitat Protection (AZE) indicators were missing, then the Biome Protection (PACOV) indicator received 100% of the weight. Landlocked countries have no marine protected areas, and countries without alliance for zero extinction sites (see Metadata) could not receive a score for Critical Habitat Protection. If either AZE or MPAEEZ were missing, then PACOV was given 75% of the weight and the other indicator received the remaining 25%. If all three Biodiversity and Habitat indicators were present, then PACOV received 50% of the category weight, and AZE and MPAEEZ received 25% each.EPSG:4326epi:epi-environmental-performance-index-2010_climate-changeThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. All three Climate Change indicators were necessary in order to calculate at the policy category score. For Carbon Intensity of Electricity Generation we imputed some country scores. The weightings given were 50% to Greenhouse Gas Emissions/Capita, 25% Carbon Intensity of Electricity Generation, and 25% Industrial Greenhouse Gas Emissions.EPSG:4326epi:epi-environmental-performance-index-2010_environmental-burden-of-diseaseThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. Within the Environmental Health objective, the Environmental Burden of Disease (EBD) indicator is weighted 50% and thus contributes 25% to the overall EPI score. We gave EBD a high weight in Environmental Health because it integrates the impacts of a large number of environmental stressors on human health.EPSG:4326epi:epi-environmental-performance-index-2010_fisheriesThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Fisheries category, all non-landlocked countries were required to have both the Marine Trophic Index and Trawling Intensity indicators, to which we applied an equal weight.EPSG:4326epi:epi-environmental-performance-index-2010_forestryThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Forestry category, if one of the two constituent indicators was missing, we substituted the other value due to the very high correlation between Forest Cover Change and Growing Stock Change. If both indicators were available, then a simple average was calculated.EPSG:4326epi:epi-environmental-performance-index-2010_water-effects-on-ecosystemsThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Water (effects on ecosystems) category, we had complete country coverage for the Water Quality Index (WQI) owing to data imputation. No Water Quality Index was reported for several countries that had surface water areas of less than 10 square kilometers, so for these countries we averaged around WQI. The Water Stress Index (WATSTR) was available for all but the smallest countries, in terms of geographic area, owing to the grid cell size of the original data source. Either WATSTR or the Water Scarcity Index (WSI) wasrequired in order to calculate the policy category score; if both were present we averaged them, and if one indicator was missing we averaged around it.EPSG:4326epi:epi-environmental-performance-index-2010_water-effects-on-human-healthThe 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. The effects of Water Pollution on human health comprise a portion of the Environmental Health objective and is allocated an eighth of the total score. Within Water Pollution (effects on humans) the constituent indicators are equally weighted.EPSG:4326esi:esi-environmental-sustainability-index-2005_air-qualityEPSG:4326esi:esi-environmental-sustainability-index-2005_biodiversityEPSG:4326esi:esi-environmental-sustainability-index-2005_eco-efficiencyEPSG:4326esi:esi-environmental-sustainability-index-2005_environ-governanceEPSG:4326esi:esi-environmental-sustainability-index-2005_environ-healthEPSG:4326esi:esi-environmental-sustainability-index-2005_greenhouse-gas-emissionsEPSG:4326esi:esi-environmental-sustainability-index-2005_human-sustenanceEPSG:4326esi:esi-environmental-sustainability-index-2005_landEPSG:4326esi:esi-environmental-sustainability-index-2005_nat-disaster-vulnerabilityEPSG:4326esi:esi-environmental-sustainability-index-2005_nat-resource-mgmtEPSG:4326esi:esi-environmental-sustainability-index-2005_particip-international-collaborateEPSG:4326esi:esi-environmental-sustainability-index-2005_private-sector-responseEPSG:4326esi:esi-environmental-sustainability-index-2005_reduce-air-pollutionEPSG:4326esi:esi-environmental-sustainability-index-2005_reduce-ecosystem-stressEPSG:4326esi:esi-environmental-sustainability-index-2005_reduce-pop-pressEPSG:4326esi:esi-environmental-sustainability-index-2005_reduce-trans-environ-pressEPSG:4326esi:esi-environmental-sustainability-index-2005_reduce-waste-consump-pressEPSG:4326esi:esi-environmental-sustainability-index-2005_reduce-water-stressEPSG:4326esi:esi-environmental-sustainability-index-2005_science-techEPSG:4326esi:esi-environmental-sustainability-index-2005_water-qualityEPSG:4326esi:esi-environmental-sustainability-index-2005_water-quantityEPSG:4326cartographic:esri-administrative-boundaries_level-1EPSG:4326epi:epi-environmental-performance-index-2010The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement.EPSG:4326esi:esi-environmental-sustainability-index-2005The 2005 Environmental Sustainability Index (ESI) is a measure of overall progress towards environmental sustainability, developed for 146 countries. The index provides a composite profile of national environmental stewardship based on a compilation of 21 indicators derived from 76 underlying datasets. The 2005 version of the ESI represents a significant update and improvement on earlier versions; the country ESI scores or rankings should not be compared to earlier versions because of changes to the methodology and underlying data. The index was unveiled at the World Economic Forum's annual meeting, January 2005, Davos, Switzerland. The 2005 ESI is a joint product of the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN), in collaboration with the World Economic Forum (WEF) and the Joint Research Centre (JRC), European Commission.EPSG:4326gpw-v3:gpw-v3-centroidsEPSG:4326gpw-v3:gpw-v3-coastlinesEPSG:4326grump-v1:grump-v1-settlement-pointsThe Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated datasets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values (counts, in persons) to grid cells. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).EPSG:4326cartographic:00-global-labelsEPSG:4326grand-v1:grand-v1-dams-rev01Through the Global Water System Project (GWSP), an international team of scientists have spent 4 years collecting dam and reservoir data sets to address the need for global data describing their characteristics and geographical distribution. The goal of providing a single, geographically explicit and reliable database has resulted in the release of the Global Reservoir and Dam Database (GRanD). Lehner, B., Reidy Liermann, C., Revenga, C., Vorosmarty, C., Fekete, B., Crouzet, P., Doll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J.C., Rodel, R., Sindorf, N., Wisser, D. (2011). Global Reservoir and Dam Database, Version 1 (GRanDv1): Dams, Revision 01. Data distributed by the NASA Socioeconomic Data and Applications Center (SEDAC): http://sedac.ciesin.columbia.edu/data/collection/grand-v1.EPSG:4326grand-v1:grand-v1-reservoirs-rev01Through the Global Water System Project (GWSP), an international team of scientists have spent 4 years collecting dam and reservoir data sets to address the need for global data describing their characteristics and geographical distribution. The goal of providing a single,geographically explicit and reliable database has resulted in the release of the Global Reservoir and Dam Database (GRanD). Lehner, B., Reidy Liermann, C., Revenga, C., Vorosmarty, C., Fekete, B., Crouzet, P., Doll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J.C., Rodel, R., Sindorf, N., Wisser, D. (2011). Global Reservoir and Dam Database, Version 1 (GRanDv1): Reservoirs, Revision 01. Data distributed by the NASA Socioeconomic Data and Applications Center (SEDAC): http://sedac.ciesin.columbia.edu/data/collection/grand-v1.EPSG:4326cartographic:00-grump-v1-national-admin-boundariesNational Boundaries Large Scale represents high resolution administrative boundaries for 231 world countries. This data was derived by the GRUMP Beta project and has been designed be visible at scales larger than 2 Arc Minutes.EPSG:4326cartographic:00-gpw-v3-national-admin-boundariesNational Boundaries Medium Scale represents medium resolution administrative boundaries for 231 world countries. This data was derived by the GPWv3 project and has been designed be visible at scales between 20 Arc Minutes and 2 Arc Minutes.EPSG:4326cartographic:00-gpw-v3-national-admin-boundaries_generalizedNational Boundaries Small Scale represent low resolution generalized administrative boundaries for 231 world countries. This data was derived through the generalization of GPWv3 National Boundaries and designed to be viewed at scales smaller than 20 Arc MinutesEPSG:4326ipcc:ipcc-ar4-observed-climate-impactsFor each observation, the data series is described in terms of system, region, longitude and latitude, dates and duration, statistical significance, type of impact, and whether or not land use was identified as a driving factor. System changes are taken from 80 studies of which 75 are new since the IPCC Third Assessment Report containing 29,500 data series. Observations in the database are characterized as a change consistent with warming or a change not consistent with warming, based on information from the underlying studies.features, ipcc-ar4-observed-climate-impactsEPSG:4326other:ramsar-centroidsramsar-centroids, featuresEPSG:4326other:ramsar-polygonsramsar-polygons, featuresEPSG:4326other:wwf-terrestrial-biomesThis layer depicts the 16 terrestrial biomes used in the 2007 NRMI Natural Resource Management Index (NRMI). The biomes are derived from the World Wildlife Fund (WWF) ecoregions layer.EPSG:4326nagdc:nagdc-population-landscape-climate-estimates-v3_coastal-proximity-2010The Population, Landscape, And Climate Estimates, Version 3 (PLACE III) dataset contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, a compendium of nearly 300 variables for 228 countries. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).features, nagdc-population-landscape-climate-estimates-v3_coastal-proximity-2010EPSG:4326absabs_2abs_3abs_4acosareaasinatanatan2betweenboundaryboundaryDimensionbufferbufferWithSegmentsCategorizeceilcentroidclassifyCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_SumCollection_UniqueConcatenatecontainsconvertconvexHullcoscrossesdateFormatdateParsedifferencedimensiondisjointdistancedouble2boolendAngleendPointenvenvelopeEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingfloorgeometryTypegeomFromWKTgeomLengthgetGeometryNgetXgetYgetZgreaterEqualThangreaterThanidIEEEremainderif_then_elsein10in2in3in4in5in6in7in8in9int2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionintersectsisClosedisEmptyisLikeisNullisometricisRingisSimpleisValidisWithinDistanceJenkslengthlessEqualThanlessThanlogmaxmax_2max_3max_4minmin_2min_3min_4mincircleminrectanglenotnotEqualTonumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoffsetoverlapsparseBooleanparseDoubleparseIntparseLongpipointNpowPropertyExistsQuantilerandomRecoderelaterelatePatternrintroundround_2roundDoublesetCRSsinsqrtStandardDeviationstartAnglestartPointstrCapitalizestrConcatstrEndsWithstrEqualsIgnoreCasestrIndexOfstrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2symDifferencetantoDegreestoRadianstouchestoWKTunionUniqueIntervalverticeswithin