This parcels dataset is a spatial representation of tax lots for Gloucester County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

This parcels dataset is a spatial representation of tax lots for Gloucester County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

These data provide an accurate high-resolution shoreline compiled from imagery of GLOUCESTER POINT, YORK RIVER, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

DVRPC’s 2023 land use file is based on digital orthophotography created from aerial surveillance completed in the spring of 2023. This dataset supports many of DVRPC's planning analysis goals.Every five years, since 1990, the Delaware Valley Regional Planning Commission (DVRPC) has produced a GIS Land Use layer for its 9-county region.lu23cat: Land use main category two-digit code.lu23catn: Land use main category name.lu23catlu23catn1Residential3Industrial4Transportation5Utility6Commercial7Institutional8Military9Recreation10Agriculture11Mining12Wooded13Water14Undevelopedlu23sub: Land use subcategory five-digit code.(refer to this data dictionary for code description)lu23subn: Land use subcategory name.lu23dev: Development status.mixeduse: Mixed-Use status (Y/N). Features belonging to one of the Mixed-Use subcategories (Industrial: Mixed-Use, Multifamily Residential: Mixed-Use, or Commercial: Mixed-Use).acres: Area of feature, in US acres.geoid: 10-digit geographic identifier. In all DVRPC counties other than Philadelphia, a GEOID is assigned by municipality. In Philadelphia, it is assigned by County Planning Area (CPA).state_name, co_name, mun_name: State name, county name, municipal/CPA name. In Philadelphia, County Planning Area (CPA) names are used in place of municipal names.

These data were automated to provide an accurate high-resolution historical shoreline of Gloucester Point, Yorktown and Vicinity, Virginia suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of PORTS OF PHILADELPHIA AND CAMDEN-GLOUCESTER, PA-NJ . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

The NJDOT County Map Series provides a comprehensive and detailed view of the area, designed to assist residents and visitors alike. It features an extensive network of roads, including major highways such as Interstate 95 and the Garden State Parkway, as well as local roads for easier navigation. Transportation hubs like airports and railways are clearly marked, facilitating travel within and beyond the county. The map delineates county and municipal boundaries, helping users understand jurisdictional areas. Open spaces, such as state and county parks and nature reserves, are highlighted to showcase recreational opportunities. Waterways, including the Delaware River and various lakes and reservoirs, are prominently displayed. Local place names, including towns, cities, and neighborhoods, are indicated for easy location identification. Additionally, the map includes key institutions like colleges, universities, and hospitals, along with cultural features such as historical sites, museums, and landmarks. A legend and scale are provided for clarity, and inset maps offer detailed views of specific areas. This map is an invaluable tool for navigation, planning, and discovering the rich resources and attractions within the county.

This is a polygon GIS data layer showing the location and extent of various sidescan, multibeam and swath bathymetry surveys conducted by the USGS, Coastal and Marine Geology Program. Outlines of individual mosaic areas were combined to create one comprehensive layer that could be used to illustrate areas surveyed by USGS/CMGP seafloor mapping programs.

Three classes of impervious surfaces--buildings, roads, and other impervious--were mapped for New Jersey through a semi-automated process developed using eCognition software. The automated feature extraction workflow used a Geographic Object-Oriented Image Analysis (GEOBIA) framework to extract the three impervious classes from the source datasets which include digital imagery, LiDAR point clouds and several vector data sets including Land use/land cover, road centerlines and hydrographic features, using a rule-based expert system.

These data provide an accurate high-resolution shoreline compiled from imagery of Ports of Philadelphia, Camden-Gloucester, and Paulsboro, PA-NJ . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

This group includes the following items: 1. Hampton Roads Elevation Certificate Building Footprints: includes only building footprints where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88). 2. Hampton Roads Elevation Certificate Parcels: includes only parcels where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88). Where necessary, conversions from NGVD 1929 to NAVD 1988 were completed using the VERTCON (NOAA NGS, 2019). Elevation certificates were collected from the following 12 localities: Chesapeake, Franklin, Gloucester County, Hampton, James City County, Newport News, Norfolk, Portsmouth, Southampton County, Suffolk, Virginia Beach, and York County. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. The elevation certificate database was developed by HRPDC staff with support from the Center for Geospatial, Science, Education, and Analytics at Old Dominion University (ODU). We would like to acknowledge Manuel Solano (ODU) for his contributions to the Gloucester County and City of Norfolk elevation certificate data development.Building footprints are courtesy the VGIN statewide building footprints layer and locality GIS departments. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Current flood zones are courtesy of the FEMA National Flood Hazard Layer, with base flood elevations reported in NAVD 1988 where available. A complete list of attribute descriptions is available here. Created 2/8/2019Updated 10/10/2020

This group includes the following items: 1. Hampton Roads Elevation Certificate Building Footprints: includes only building footprints where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88). 2. Hampton Roads Elevation Certificate Parcels: includes only parcels where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88). Elevation certificates were collected from the following 12 localities: Chesapeake, Franklin, Gloucester County, Hampton, James City County, Newport News, Norfolk, Portsmouth, Southampton County, Suffolk, Virginia Beach, and York County. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. The elevation certificate database was developed by HRPDC staff with support from the Center for Geospatial, Science, Education, and Analytics at Old Dominion University (ODU). We would like to acknowledge Manuel Solano (ODU) for his contributions to the Gloucester County and City of Norfolk elevation certificate data development.Building footprints are courtesy the VGIN statewide building footprints layer and locality GIS departments. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Current flood zones are courtesy of the FEMA National Flood Hazard Layer, with base flood elevations reported in NAVD 1988 where available. A complete list of attribute descriptions is available here. Created 2/8/2019Updated 10/10/2020

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick.

The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

The Communities at Sea maps use Vessel Trip Report location point data as input to create density polygons representing visitation frequency ("fisherdays"). The data show total labor including crew time and the time spent in transit to and from fishing locations. They do not show other variables such as vessel value or number of pounds landed. The results can be interpreted as maps of "community presence." This layer shows data for the dredge fishing gear group for Gloucester, MA from 2011-2015.

The Communities at Sea maps use Vessel Trip Report location point data as input to create density polygons representing visitation frequency ("fisherdays"). The data show total labor including crew time and the time spent in transit to and from fishing locations. They do not show other variables such as vessel value or number of pounds landed. The results can be interpreted as maps of "community presence." This layer shows data for the large bottom trawl fishing gear group for Gloucester, MA from 2011-2015.

This geodatabase contains the highest publicly accessible natural elevations ("high points") in each county in New Jersey. Five of New Jersey's 21 counties have landfills as their highest elevation. Due to the fact that these elevations can change substantially over short periods of time, they are not regarded as absolute high points in the dataset.

Additionally, some of the highest points are on private land. These points were excluded from the dataset because the public do not have access to these high points. The list of counties where the highest point is a landfill or on private property include:

Atlantic County, Hammond Town-Private Property 147 feet Burlington County, Woodland Township-Private Property 224 feet Camden County, Gloucester Township-Landfill Cape May County, Woodbine Township-Landfill Cumberland County, Deerfield Township-Landfill Gloucester County, Woolwich Township-Landfill Hudson County, Guttenberg- Private Property 264 feet Hunterdon County, Lebanon Township- Private Property 1,072 feet Monmouth County, Marlboro Township & Holmdel Township- Private Property Salem County, Upper Pittsgrove Township-Landfill 176 feet Somerset County, Bernardsville Borough-Private Property 856 feet Union County, Berkeley Heights Township-Private Property 565 feet

This online document was created to provide a link to all elevation products available via the New Jersey Geographic Information Network (NJGIN) website. For a complete list please visit https://njgin.nj.gov/njgin/edata/elevation.There is a state-wide DEM, which includes all of New Jersey counties: Atlantic County, Bergen County, Burlington County, Camden County, Cape May County, Cumberland County, Essex County, Gloucester County, Hudson County, Hunterdon County, Mercer County, Middlesex County, Monmouth County, Morris County, Ocean County, Passaic County, Salem County, Somerset County, Sussex County, Union County, and Warren County; as well as regions: Southern New Jersey, Northeast New Jersey, Northwest New Jersey, and Western New Jersey. Specific LiDAR projects are: Atlantic Ocean Southern Monmouth 2010, Camden 2008, Camden Burlington DEM 2004, Camden Burlington FEMA 2011, Cape May Cumberland CAFRA Salem 2008, DVRPC 2015, Gloucester 2007, Hackensack Meadowlands 2014, Highlands 2006 2007, Hunterdon 2007, Mercer 2009, Middlesex 2006, Morris DEM 2006, NE NJ Post-Sandy Supplemental 2014, NGA Northeast 2006 2007, NOAA Topobathy 2013 2014, Newark Trenton DEM 2007 2008, Non-CAFRA Salem 2009, Northwest NJ 2018, Somerset 2008, South NJ 2019, and Western Sussex Warren 2012.Some details in the data include: Bare Earth, Contours, LAS, LAZ, point cloud, point density, leaf on, leaf off, NJSP, UTM, WGS1984, NAD83, NAVD 88 feet, and floating point grid.

An elevation or topographic contour is a line that connects a series of points of equal elevation and is used to illustrate topography, or relief, on a map. It shows the height of ground above Mean Sea Level (M.S.L.). Numerous contour lines that are close together indicate hilly or mountainous terrain; when far apart, they represent a gentler slope. This layer consists of contours at a five foot interval for Montgomery County. Data was derived from DVRPC and was generated from an aerial topographic survey in 2005.The Delaware Valley Regional Planning Commission's (DVRPC) 9-county region is made up of the following: Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania; and Burlington, Camden, Gloucester, and Mercer counties in New Jersey.The regional dataset can be be accessed via rest service or downloaded from PASDA