The political boundary datalayer is a polygon representation of town boundaries created from arcs developed from survey coordinates extracted from the 68-volume Harbor and Lands Commission Town Boundary Atlas for the 351 communities (cities and towns) in Massachusetts. The Atlas was published in the early 1900's and is maintained by the Survey Section of Massachusetts Highway Department. For communities with a coastal boundary, MassGIS has collaborated with Massachusetts Water Resources Authority and the Department of Environmental Protection to complete a 1:12000 scale coastline. The boundary for the coastline was defined as being the upland side of tidal flats and rocky inter-tidal zones. Note that the 351 communities are the official municipal names, not including "villages" or other sections of towns.This datalayer was created for the purposes of providing an up-to-date polygon version of the town boundaries for the 351 cities and towns of the Commonwealth of Massachusetts. The legislative intent for some boundaries could not be mapped. Boundaries where that is true are identified in the attribute information. This layer contains multi-part polygons, one for each municipality. The coastline on this layer has been generalized for small-scale cartography and faster display in web map services.See the layer metadata for details.

Note: updates to this beta layer are currently paused while we sync new versions of the OSM layers for Europe.This feature layer provides access to OpenStreetMap (OSM) buildings data for Europe, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes building features defined as a query against the hosted feature layer (i.e. building is not blank).In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this feature layer, unique symbols are used for several of the most popular building types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:10k scale) to see the building features display. You can click on a feature to get the name of the building (if available). The name of the building will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this buildings layer displaying just one or two building types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. building is apartments), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. parks) that are ready to use, but not for every type of building.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

REC2 (River Environment Classification, v2.5) - June 2019 [Hosted Feature Layer]This service depicts rivers as lines and catchments as polygons The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand's network of rivers. The attributes were compiled for the purposes of river classification, while the river network description has been used to underpin models. Typically, models (e.g. CLUES and TopNet) would use the dendritic (branched) linkages of REC river segments to perform their calculations. Since its release and use over the last decade, some errors in the location and connectivity of these linkages have been identified. The current revision corrects those errors, and updates a number of spatial attributes with the latest data. REC2 provides a re-cut framework of rivers for modelling and classification. It is built on a newer version of the 30m digital elevation model, in which the original 20m contours were supplemented with, for example, more spot elevation data and a better coastline contour. Boundary errors were minimised by processing contiguous areas (such as the whole of the North Island) together, which wasn't possible when it was originally created.Major updates include the revision of catchment land use information, by overlaying with the land cover database (LCDB3, current as at 2008), and the update of river and rainfall statistics with data from 1960-2006. The river network and associated attributes have been assembled within an ArcGIS geodatabase. Topological connectivity has been established to allow upstream and downstream tracing within the network. REC2 can be downloaded or streamed and used directly in ArcMap. (A file geodatabase version for ArcGIS of REC2 can be downloaded as a zip file and used directly for analyses in ArcMap from here)This layer is using Esri's ArcGIS Online Optimizations for fast rendering.This is REC2 (Version 5) , June 2019 - a publicly available dataset from NIWA Taihoro Nukurangi.NIWA acknowledges funding from the MBIE SSIF towards the preparation of REC v2.5Coordinate Reference System: NZTM (New Zealand Transverse Mercator, EPSG: 2193)Geometric Representation of Rivers: LinesExtent (Bounding Box): Top(Latitude) -33.9534Bottom(Latitude) -47.4867 Left (Longitude) 166.2634 Right (Longitude) 178.9733 Riverlines table Attributes associated directly with network: Field Type Description Catarea Real Watershed area in m2 CUM_Area Real Area upstream of a reach (and including this reach area) in m2. Nzsegment Integer Reach identifier to be used with REC2 (supercedes nzreach in REC1). Lengthdown Real The distance to coast from any reach to its outlet reach, where the river drains (m). Headwater Integer Number (0) denoting whether a stream is a “source” (headwater) stream. Non-zero for non-headwater streams. Hydseq Integer A unique number denoting the hydrological processing order of a river segment relative to others in the network. StreamOrder Integer A number describing the Strahler order a reach in a network of reaches. euclid_dist Real The straight line distance of a reach from the reach “inlet” to its “outlet”. upElev Real Height (asl) of the upstream end of a reach section in a watershed (m). downElev Real Height (asl) of the downstream end of a reach section in a watershed (m). upcoordX Real Easting of the upstream end of a river segment in m (NZTM2000). upcoordY Real Northing of the upstream end of a river segment in m (NZTM2000). downcoordX Real Easting of the downstream end of a river segment in m (NZTM2000). downcoordY Real Northing of the downstream end of a river segment in m (NZTM2000). sinuosity Real Actual distance divided by the straight line distance giving the degree of curvature of the stream nzreach_re Integer The REC1 identifiying number for the corresponding\closest reach from REC1 (can be used to retrieve the REC management classes) headw_dist Integer Distance of the furthermost “source” or headwater reach from any reach (m). Shape_leng Real The length of the reach (vector) as calculated by ArcGIS. Segslpmean Real Mean segment slope along length of reach. LID Integer Lake Identifier number(LID) of overlapping lake. Reachtype Integer A value of 2 is assigned if the segment is an outlet to the lake, otherwise 0 or null. nextdownid integer segment number of the most downstream reach

This is a MGRS 100km Square Identifier polygon shapefile. The polygons are defined by UTM zone and MGRS band letters into mostly 6ºx8º polygons, with subdivisions into MGRS 100km Square Identifiers. There are no classification restrictions on this information. This information was created by the National Geospatial-Intelligence Agency (NGA) Coordinate Systems Analysis Team (SNAC).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/Location/MD_USNGZone17S/FeatureServer/1

This feature layer, GHFR_PA_ProposedRoadMaintenance_011620, provides road maintenance activities associated with the Gauley Healthy Forest Restoration project, proposed by the U.S. Forest Service in the Monongahela National Forest, West Virginia.Purpose: This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date: The source data was created in 2021 and downloaded in zipped ESRI shapefile format (GHFR_ProposedActions.zip) from the USFS project page (Supporting folder). The data was downloaded on October 25 2021, and subsequently updated. The data is current as of March 29, 2022.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. The provided map document in the Scoping folder (20210924_GHFRProjectUpdate_ProposedAction.pdf) was used as an example for symbolizing the shapefile. GHFR_PA_ProposedRoadMaintenance_011620 includes the following data layer:GHFR_RoadMaintenanceSymbology:The shapefile below refers to the data layer above, named as shown in the Gauley Healthy Forests Restoration project map provided by ABRA. Proposed Road Maintenance: yellow polylineMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

This feature layer, GHFR_PA_TemporaryRoads_12062021, provides the specified temporary roads for licensed vehicles to haul timber for landings associated wGHFR_PA_TemporaryRoads_011620ith the Gauley Healthy Forest Restoration project, proposed by the U.S. Forest Service in the Monongahela National Forest, West Virginia.Purpose: This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date: The source data was created in 2021 and downloaded in zipped ESRI shapefile format (GHFR_ProposedActions.zip) from the USFS project page (Supporting folder). The data was downloaded on October 25 2021, and subsequently updated. The data is current as of March 9, 2022.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. GHFR_PA_TemporaryRoads_12062021 includes the following data layer:GHFR_TemporaryRoadSymbology:The shapefile below refers to the data layer above, named as shown in the Gauley Healthy Forests Restoration project map provided by ABRA.Proposed Temporary Roads: red polylineMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

This feature layer, GHFR_PA_WUI_1219, describes the area where human development borders or intermingles with forests or other wildlands, and an area where communities are at increased risk to wildfire. This shapefile shows areas that contain natural resource assets and public or private infrastructure associated with the Gauley Healthy Forests project, proposed by the USFS in the Monongahela National Forest, West Virginia.Purpose:This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date:The source data was created in 2021 and downloaded in zipped ESRI shapefile format (GHFR_ProposedActionShapefiles_Sept2021.zip) from the USFS project page (Scoping folder). The data was downloaded on October 19, 2021. It is current as of March 9, 2022.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. The provided map document in the Scoping folder (20210924_GHFRProjectUpdate_ProposedAction.pdf) was used as an example for symbolizing the shapefile. GHFR_PA_WUI_1219 includes the following data layer:GHFR_WUISymbology:The map layer below refers to the data layer above, named as shown in the Gauley Healthy Forest Restoration Project map provided by ABRA.Wildland-Urban Interface: green polygon (transparent)More information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

This feature layer, GHFR_PA_PotentialLandings_12012021, provides the timber landings associated with the Gauley Healthy Forests Restoration project, proposed by the U.S. Forest Service in the Monongahela National Forest, West Virginia.Purpose: This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date:The source data was created in 2021 and downloaded in zipped ESRI shapefile format (GHFR_ProposedActions.zip) from the USFS project page (Supporting folder). The data was downloaded on Oct 12 2021, and subsequently updated. The data is current as of January 31 2022.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. The provided map documents in the Supporting folder (Also 20210924_GHFRProjectUpdate_ProposedAction.pdf in scoping folder) were used as examples for symbolizing the shapefile. GHFR_PA_PotentialLandings_12012021 includes the following data layer:GHFR_PotentialLandings_12012021Symbology:The shapefile below refers to the data layer above, named as shown in the Gauley Healthy Forests Restoration project map provided by ABRA.GHFR_PotentialLandingsConventional: blue pointHelicopter: red starMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile with county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. NSGIC added the 2010 and 2015 population estimates from the Census Bureau’s American Community Survey to relate the impacts of every declared natural disaster to current time frame.A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile and included the available county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.

This layer shows computer ownership and type of internet subscription. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of households with no internet connection. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This layer describes the official USFS project boundary for the Greenbrier Southeast forest management project in Pocahontas County, West Virginia.Purpose:This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date:This layer was created from GIS data downloaded in zipped ESRI shapefile format from the project website (https://www.fs.usda.gov/project/?project=55797 - Analysis folder) on 10/15/2021.Processing:ABRA uploaded the shapefile to ArcGIS Online, where it was published as a feature layer.Symbology:GSE Project Boundary: Black

This feature layer, GHFR_SlashReduction_01052022, describes slash reduction zones associated with the Gauley Healthy Forest Restoration project, proposed by the U.S. Forest Service in Monongahela National Forest, West Virginia.Purpose:This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date:The source data was created in 2021 and downloaded in zipped ESRI shapefile format (GHFR_ProposedActions.zip) from the USFS project page (Supporting folder). The data was downloaded on January 31, 2023. It is current as of March 9, 2022.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. GHFR_SlashReduction_01052022 includes the following data layer:GHFR_SlashReductionSymbology:The shapefile below refers to the data layer above, named as shown in the Gauley Healthy Forests Restoration project map provided by ABRA.GHFR_SlashReduction_01052022: orange polygonMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.ndary.

This feature layer describes the locations of riparian plantings associated with the Grassy Ridge project proposed by the USFS in the Monongahela National Forest of West Virginia.Purpose:This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts of riparian plantingsSource & Date:This data was downloaded from the USFS Grassy Ridge project page (Analysis folder) on 7/28//2020.https://www.fs.usda.gov/project/?project=56948Processing:ABRA published the shapefile from the Forest Service to ArcGis Online as a feature layer.Symbology:Grassy Ridge Riparian Planting: Blue polygon

This feature layer, GHFR_EX_Trails_0819, provides the existing routed trail network found within the proposed Gauley Healthy Forest Restoration project, proposed by USFS in the Monongahela National Forest, West Virginia.Purpose:This data was included to provide additional environmental context for the user’s understanding of the project’s likely environmental impacts.Source & Date:The source data layer was originally created in 2012 and a clipped version was included in a September 2021 data release (GHFR_ExistingConditionShapefiles_Sept2021.zip) describing existing conditions in the project area (Analysis folder). The data was downloaded on October 26 2021.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. GHFR_EX_Trails_0819 includes the data layer:ForestTrails_0812Symbology:The map layer below refers to the data layer above, named as shown in the Gauley Healthy Forest Restoration Project map provided by ABRA.Existing Trails: black dotted polylineMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

This feature layer, GHFR_EX_TrailHeads_0819, identifies the location of trailheads in the area of the Gauley Healthy Forest Restoration project, proposed by USFS in the Monongahela National Forest, West Virginia.Purpose:This data was included to provide additional environmental context for the user’s understanding of the project’s likely environmental impacts.Source & Date:The source data layer was originally created in 2012 and a clipped version was included in a September 2021 data release (GHFR_ExistingConditionShapefiles_Sept2021.zip) describing existing conditions in the project area (Analysis folder). The data was downloaded on October 26 2021.Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. GHFR_EX_TrailHeads_0819 includes the following data layer:GHFR_TrailHeadsSymbology:The map layer below refers to the data layer above, named as shown in the Gauley Healthy Forest Restoration Project map provided by ABRA.Existing Trailheads: hiking symbolMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

This feature layer describes the locations of spruce plantings associated with the Grassy Ridge project proposed by the USFS in the Monongahela National Forest of West Virginia.Purpose:The Forest Service created this data to show ~58 acres of proposed spruce planting in five different locations in the Grassy Ridge Project Area and evaluate their environmental impact. Source & Date:This data was downloaded from the USFS Grassy Ridge project page (Analysis folder) on 7/28//2020.https://www.fs.usda.gov/project/?project=56948Processing:ABRA published the shapefile from the Forest Service to ArcGis Online as a feature layer.Symbology:Grassy Ridge Spruce Planting: Green polygon

County Disaster Declaration Summary Records developed from FEMA Historic Disasters Declaration by County 1964 - 2013 for NSGIC resiliency project.NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile with county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. NSGIC added the 2010 and 2015 population estimates from the Census Bureau’s American Community Survey to relate the impacts of every declared natural disaster to current time frame.A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile and included the available county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.

This feature layer, DMME_Faults_UTM17_83, describes cataloged geologic faults in Virginia as provided by the Virginia Department of Mines, Minerals, and Energy (DMME), now Virginia Department of Energy.Purpose:This data was included to provide additional environmental context for the user’s understanding of the various projects’ likely environmental impacts.Source & Date:The source data was created in 2010 and made publicly available by the Virginia Department of Mines, Minerals, and Energy (DMME). The data was downloaded in a zipped ESRI shapefile format from their Geology Mineral Resources interactive map on July 26, 2016. Current as of August 18, 2020Processing:ABRA uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. DMME_Faults_UTM17_83 contains the following data layer: Significant_FaultsSymbolization: DMME_Faults_UTM17_83: Generic Fault - grey polyline Thrust Fault - purple polyline Normal Fault - green polyline Shear Zone - orange polyline Strike Slip Fault - blue polyline Ductile High Strain Zone - grey dotted polyline

This feature layer, GHFR_EX_LegacyFeatures_1119, describes legacy skid trail, railroad, mine, or unknown linear features associated with the Gauley Healthy Forest Restoration project, proposed by USFS in the Monongahela National Forest, West Virginia.From USFS: Legacy features collected visually, not contained in any other roads layer or not considered currently a system road. These were collected with a combination of LiDAR Hillshade data as well as Satellite imagery. Most collected are believed to be old skid trails, railroad, mine, or are unknown.This data has been clipped to the GHFR Project Area.Purpose:This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date:The data was downloaded in zipped ESRI shapefile format (GHFR_ExistingConditionShapefiles_Sept2021.zip) from the USFS project page (Analysis folder). The data is current as of October 26 2021.Processing:The shapefile was clipped to only include legacy features located within the project boundary. ABRA then uploaded the zipped shapefile to ArcGISOnline and published a feature layer of the data. GHFR_EX_LegacyFeatures_1119 includes the data layer:GHFR_LegacyFeatures_1119Symbology:The map layer below refers to the data layer above, named as shown in the Gauley Healthy Forest Restoration Project map provided by ABRA.Legacy Features - Skid Trails, etc.: purple dotted polylineMore information can be found on ABRA’s project description page, hosted by the National Forest Integrity Project. Additional detailed information is available on the USFS project page.

These are the "final" current district boundaries, created by the Virginia Supreme Court in 2021.Purpose:This feature service shows the current boundaries of legislative districts for the state of Virginia. These include district boundaries for the Virginia Senate and House of Delegates, as well as Congressional districts for the U.S. House of Representatives.Source:The data were downloaded in shapefile format from the Virginia Redistricting Commission homepage on 12/8/2023.Processing:ABRA imported the shapefiles into a file geodatabase. The geodatabase was zipped, uploaded to ArcGIS Online, and published as a feature service.Symbology:Symbology of this feature service's layers will vary by map.The feature service contains 3 feature layers:SCV_FINAL_CD - Congressional DistrictsSCV_FINAL_HOD - House of Delegates DistrictsSCV_FINAL_SD - Senate Districts