The Environment Map (US Edition) web map consists of vector tile layers that form a detailed basemap for the world, featuring a neutral style with content adjusted to support environment, landscape, natural resources, hydrologic and physical geography layers. The layers in this map provide unique capabilities for customization, high-resolution display and offline use in mobile devices. They are built using the same data sources used for other Esri basemaps.This basemap is available in the United States Vector Basemaps gallery and consists of 4 vector tile layers and one raster tile layer: The Environment Detail and Label (US Edition) vector tile reference layer for the world with administrative boundaries and labels; populated places with names; ocean names; topographic features; and rail, road, park, school, and hospital labels. The Environment Surface Water and Label vector tile surface water layer for the world with rivers, lakes, streams, and canals with respective labels. The Environment Watersheds vector tile layer that provides watersheds boundaries. The Environment Base multisource base layer for the world with vegetation, parks, farming areas, open space, indigenous lands, military bases, bathymetry, large scale contours, elevation values, airports, zoos, golf courses, cemeteries, hospitals, schools, urban areas, and building footprints. World Hillshade raster tile layerThe vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

The Environment Map (World Edition) web map consists of vector tile layers that form a detailed basemap for the world, featuring a neutral style with content adjusted to support environment, landscape, natural resources, hydrologic and physical geography layers. This basemap consists of 4 vector tile layers and one raster tile layer: The Environment Detail and Label vector tile reference layer for the world with administrative boundaries and labels; populated places with names; ocean names; topographic features; and rail, road, park, school, and hospital labels. The Environment Surface Water and Label vector tile surface water layer for the world with rivers, lakes, streams, and canals with respective labels. The Environment Watersheds vector tile layer that provides watersheds boundaries. The Environment Base multisource base layer for the world with vegetation, parks, farming areas, open space, indigenous lands, military bases, bathymetry, large scale contours, elevation values, airports, zoos, golf courses, cemeteries, hospitals, schools, urban areas, and building footprints. World Hillshade raster tile layerThe vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap in Environment Map for All.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

Long Island Sound is one of the largest estuaries along the Atlantic coast of the United States. It is a glacially produced, semi-enclosed, northeast-southwest-trending embayment, which is 150 km long and 30 km across at its widest point. Its mean water depth is approximately 24 m. The eastern end of the Sound opens to the Atlantic Ocean through several large passages between islands, whereas the western end is connected to New York Harbor through a narrow tidal strait. Long Island Sound abuts the New York-Connecticut metropolitan area and contains more than 8 million people within its watershed. A study of the modern sedimentary environments on the sea floor within the Long Island Sound estuarine system was undertaken as part of a larger research program by the U.S. Geological Survey (Coastal and Marine Geology Program) conducted in cooperation with the State of Connecticut Department of Environmental Protection and the U.S. Environmental Protection Agency. Knowledge of the botto ...

This app contains links to pdf maps created for RED. These are linked through the Resilience Downloadable Maps group. This group is maintained by Imrul Hack.

Abstract

MEJ aims to create easy-to-use, publicly-available maps that paint a holistic picture of intersecting environmental, social, and health impacts experienced by communities across the US.

With guidance from the residents of impacted communities, MEJ combines environmental, public health, and demographic data into an indicator of vulnerability for communities in every state. MEJ’s goal is to fill an existing data gap for individual states without environmental justice mapping tools, and to provide a valuable tool for advocates, scholars, students, lawyers, and policy makers.

Methodology

The negative effects of pollution depend on a combination of vulnerability and exposure. People living in poverty, for example, are more likely to develop asthma or die due to air pollution. The method MEJ uses, following the method developed for CalEnviroScreen, reflects this in the two overall components of a census tract’s final “Cumulative EJ Impact”: population characteristics and pollution burden. The CalEnviroScreen methodology was developed through an intensive, multi-year effort to develop a science-backed, peer-reviewed tool to assess environmental justice in a holistic way, and has since been replicated by several other states.

CalEnviroScreen Methodology:

• Population characteristics are a combination of socioeconomic data (often referred to as the social determinants of health) and health data that together reflect a populations' vulnerability to pollutants. Pollution burden is a combination of direct exposure to a pollutant and environmental effects, which are adverse environmental conditions caused by pollutants, such as toxic waste sites or wastewater releases. Together, population characteristics and pollution burden help describe the disproportionate impact that environmental pollution has on different communities.

• Every indicator is ranked as a percentile from 0 to 100 and averaged with the others of the same component to form an overall score for that component. Each component score is then percentile ranked to create a component percentile. The Sensitive Populations component score, for example, is the average of a census tract’s Asthma, Low Birthweight Infants, and Heart Disease indicator percentiles, and the Sensitive Populations component percentile is the percentile rank of the Sensitive Populations score.

• The Population Characteristics score is the average of the Sensitive Populations component score and the Socioeconomic Factors component score. The Population Characteristics percentile is the percentile rank of the Population Characteristics score.

• The Pollution Burden score is the average of the Pollution Exposure component score and one half of the Environmental Effects component score (Environmental Effects may have a smaller effect on health outcomes than the indicators included the Exposures component so are weighted half as much as Exposures). The Pollution Burden percentile is the percentile rank of the Pollution Burden score.

• The Populaton Characteristics and Pollution Burden scores are then multiplied to find the final Cumulative EJ Impact score for a census tract, and then this final score is percentile-ranked to find a census tract's final Cumulative EJ Impact percentile.

• Census tracts with no population aren't given a Population Characteristics score.

• Census tracts with an indicator score of zero are assigned a percentile rank of zero. Percentile rank is then only calculated for those census tracts with a score above zero.

• Census tracts that are missing data for more than two indicators don't receive a final Cumulative EJ Impact ranking.

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This map shows known or potential environmental resources within the I-80 PEL Study Area. Resources shown in this map include streams, wetlands, conservation lands, threatened and endangered species, wildlife management areas, floodplains, cultural resources, cemeteries, regulated materials, woodlands, prairies, and unique landforms.

This Guide is designed to assist you with adding and viewing data on a map within the Department of Climate Change, Energy, the Environment and Water's Find Environmental Data (FED) geospatial data catalogue.This Guide assumes that you are familiar with locating data within FED. For further assistance see the Finding Data Guide.

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Implications of Climate Change for Biodiversity: a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and six measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries for the NRM fund (http://www.climatechange.gov.au/reducing-carbon/land-sector-measures/nrm-fund/stream-2) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing as well as in PDF format to suit initial printing. The posters were designed to meet A0 print size and digital viewing resolution. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this lower resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range in ecological similarity (from 0 to 1), even if that range is not represented in the dataset itself or across the map extent.

Each map series is provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

Example citation: Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2014) Novel ecological environments for vascular plants and mammals (1990-2050), A0 map-poster 3.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. All maps are now available, some that were previously available may have been updated. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 1.1 Potential degree of ecological change for vascular plants and mammals (1990-2050) 1.2 Potential degree of ecological change for reptiles and amphibians (1990-2050) 2.1 Disappearing ecological environments for vascular plants and mammals (1990-2050) 2.2 Disappearing ecological environments for reptiles and amphibians (1990-2050) 3.1 Novel ecological environments for vascular plants and mammals (1990-2050) 3.2 Novel ecological environments for reptiles and amphibians (1990-2050) 4.1 Change in effective area of similar ecological environments (intact) for vascular plants and mammals (1990-2050) 4.2 Change in effective area of similar ecological environments (intact) for reptiles and amphibians (1990-2050) 5.1 Change in effective area of similar ecological environments (cleared) for vascular plants and mammals (1990-2050) 5.2 Change in effective area of similar ecological environments (cleared) for reptiles and amphibians (1990-2050) 6.1 Composite ecological change for vascular plants and mammals (1990-2050) 6.2 Composite ecological change for reptiles and amphibians (1990-2050)

Background 1995: The environment constraints map was produced by CSIRO and added as extra layer under the PNGRIS Project after much discussion and debate to address the issue of forest and environment sustainability. Other layers such water control districts, national parks, wildlife management areas and conservation needs assessment were used as flagged as part of the environmental planning and approval process.
1996-1998: Forest Department now known as PNG Forestry Authority (PNGFA) revised these layer into two main categories namely serious and extreme limitations. These two separate layers can be seen in the Forest Inventory Mapping (FIM) System.
1999-2008: Biodiversity Priority Areas, EcoRegions and other relevant layers and databases (PNGSIMS and PNGInfo) have been produced to assist with environment sustainability and economic growth. This effort is still ongoing. 2008-2009: Environment constraints map been re-produced to assist with environment impact assessment process within DEC. Other public domain layers will be forthcoming in the next update.

Geospatial Environmental Mapping System (GEMS) provides geospatial layers and access to dynamic mapping and environmental monitoring data for LM sites. Analytical chemistry data, groundwater depths and elevations, well logs, well construction data, georeferenced boundaries, sampling locations and photo's are available via GEMS.

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps are a product of the Hazardous Materials Response Division of the Office of Response and Restoration (OR&R).ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), human-use resources, and sensitive biological resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in Alaska, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other atlases, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii and Puerto Rico.

We provide a shortcut to the land cover map WMS service provided by the Ministry of Environment's Environmental Spatial Information Service. A land cover map is a type of thematic map, a spatial information DB that classifies the form of surface topographic features according to certain scientific criteria, Color Indexes areas with similar characteristics, and then expresses them in the form of a map. Since land cover maps best reflect the phenomena of the surface, they are widely used in estimating non-point source pollution loads based on surface permeability, urban planning based on biotope map creation, simulation of flood damage to downstream areas when dam water gates are released, climate and atmosphere prediction modeling, environmental impact assessments, etc. They have a status as a scientific basis for establishing environmental policies by the central and local governments, and are used as various research materials in related academic circles. *The concept was established in 1985 by the European Environment Agency (EEA) in the CORINE (Coordination of Information on the Environment) project, a project to build a European land cover map to comprehensively collect and manage vast amounts of information on the land conditions of member states in the EU. Based on this, classification criteria suitable for Korea were determined, and in 1998, the Ministry of Environment built the first large-scale land cover map for the South Korean region.

Global map of wheat mega-environments. The map show twelve different mega-environments around the world. Mega environments mapped according to: Braun et al., Multi-location testing as a tool to identify plant response to global climate change. In M. P. Reynolds, (ed.) Climate change and crop production. CABI Climate Change Series, U.K. pp. 115-138. 2010.

Spatial data from Schulp et al., 2014. Uncertainties in ecosystem service maps: A comparison on the European scale. PloS ONE 9, e109643. Safeguarding the benefits that ecosystems provide to society is increasingly included as a target in international policies. To support such policies, ecosystem service maps are made. However, there is little attention for the accuracy of these maps. We made a systematic review and quantitative comparison of ecosystem service maps on the European scale to generate insights in the uncertainty of ecosystem service maps and discuss the possibilities for quantitative validation. This data package contains maps of the ecosystem services climate regulation, erosion protection, flood regulation, pollination, and recreation. For each service, a map of the average supply according to all analyzed maps is included, as well as a map of the uncertainty of the service. The data package contains a detailed read-me.

Map containing Alaska Department of Environmental Conservation (ADEC) Contaminated Sites, Groundwater Plume, PFAS, Water Quality Standards (ADEC), Drinking Water Protection Areas, and Solid Waste Sites/Boundaries data, Alaska Resource Data File (USGS), Surface Well Location (AOGCC), Formerly Used Defense Sites - FUDS and Interim Risk Management - IRM (USACE). Alaska Department of Natural Resources (ADNR) Land Ownership, Potential Hazardous Sites and Landfill data, as well as other land use.

Map Package containing environmental data related to Surface Water Bodies and marine habitats.

The online tool highlights how close in walking distance DC census tracts are to various features of the built environment spanning nine key drivers--education, employment, financial institutions, housing, transportation, food environment, medical care, outdoor environment, and community safety--and 41 data measures. The visualizations include values for each DC census tract as well as percentile values for each of the nine drivers, to allow for comparisons across DC. Education Proximity to schoolsProximity to modernized schoolsProximity to playgroundsProximity to crossing guardsSafe routes to schoolProximity to librariesAccess to wireless hotspotsAccess to broadband internetProximity to recreation centers Employment Travel time to work Financial Institutions Proximity to banking institutionsProximity to check cashing institutions Housing Housing stock qualityShare of homes built since 1970Distribution of affordable housingProximity to vacant or blighted houses Transportation Proximity to Metro busProximity to Metro stationProximity to Capital Bikeshare locationsAccess to bike lanesSidewalk qualityParking availability Food Environment Proximity to grocery storesLow Food Access areasProximity to farmers marketsAvailability of healthy food within storesProximity to restaurantsProximity to liquor stores Medical Care Proximity to health care facilitiesProximity to mental health facilities and providers Outdoor Environment Tree canopyProximity to parksProximity to trailsPresence of mix of land usesPositive land useFlood zones Community Safety Proximity to vacant lotsStreetlight coverageProximity to police department locationsProximity to fire stationsProximity to High Injury Network Corridors

Like most physical maps, recent research has suggested that cognitive maps of familiar environments may have a north-up orientation. We demonstrate that north orientation is not a necessary feature of cognitive maps and instead may arise due to coincidental alignment between cardinal directions and the built and natural environment. Experiment 1 demonstrated that pedestrians have difficulty pointing north while navigating a familiar real-world environment with roads, buildings, and green spaces oriented oblique to cardinal axes. Instead, north estimates tended to be parallel or perpendicular to roads. In Experiment 2, participants did not demonstrate privileged memory access when oriented toward north while making relative direction judgments. Instead, retrieval was fastest and most accurate when orientations were aligned with roads. In sum, cognitive maps are not always oriented north. Rather, in some real-world environments they can be oriented with respect to environment-specific features, serving as convenient reference systems for organizing and using spatial memory.

Environmental Sensitivity Index 2002 Set:

This data set contains vector lines representing the shoreline and coastal habitats of Connecticut classified according to the Environmental Sensitivity Index (ESI) classification system. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.

This data set contains vector polygons representing the shoreline and coastal habitats of Connecticut classified according to the Environmental Sensitivity Index (ESI) classification system. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.

Environmental Health Map w/ Google Maps Street View