4 datasets found
  1. d

    Shoreline Mapping Program of PORT OF GEORGETOWN, SC, SC1501-CS-N

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Oct 31, 2024
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Mapping Program of PORT OF GEORGETOWN, SC, SC1501-CS-N [Dataset]. https://catalog.data.gov/dataset/shoreline-mapping-program-of-port-of-georgetown-sc-sc1501-cs-n1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Georgetown, South Carolina
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF GEORGETOWN, SC . 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

  2. a

    Boston - Social Vulnerability

    • hub.arcgis.com
    Updated Jun 8, 2016
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    Civic Analytics Network (2016). Boston - Social Vulnerability [Dataset]. https://hub.arcgis.com/maps/94c05530fa324c238637f5a9abceacd6
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    Dataset updated
    Jun 8, 2016
    Dataset authored and provided by
    Civic Analytics Network
    Area covered
    Description

    This map shows a simple summary of the social vulnerability of populations in the United States. Using Census 2010 information, the map answers the question “Where are the areas of relatively greater potential impact from disaster events within the U.S.?” from the perspective of social vulnerability to hazards. In other words, all areas of the U.S. are assessed relative to each other. Local and regional assessments of social vulnerability should apply the same model to their multi-county or multi-state region. For emergency response planning and hazard mitigation, populations can be assessed by their vulnerability to various hazards (fire, flood, etc). Physical vulnerability refers to a population’s exposure to specific potential hazards, such as living in a designated flood plain. There are various methods for calculating the potential or real geographic extents for various types of hazards. Social vulnerability refers to sensitivity to this exposure due to population and housing characteristics: age, low income, disability, home value or other factors. The social vulnerability score presented in this web service is based upon a 2000 article from the Annals of the Association of American Geographers which sums the values of 8 variables as a surrogate for "social vulnerability". For example, low-income seniors may not have access to a car to simply drive away from an ongoing hazard such as a flood. A map of the flood’s extent can be overlaid on the social vulnerability layer to allow planners and responders to better understand the demographics of the people affected by the hazard. This map depicts social vulnerability at the block group level. A high score indicates an area is more vulnerable. This web service provides a simplistic view of social vulnerability. There are more recent methods and metrics for determining and displaying social vulnerability, including the Social Vulnerability Index (SoVI) which capture the multi-dimensional nature of social vulnerability across space. See www.sovius.org for more information on SoVI. The refereed journal article used to guide the creation of the model in ModelBuilder was: Cutter, S. L., J. T. Mitchell, and M. S. Scott, 2000. "Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina." Annals of the Association of American Geographers 90(4): 713-737. Additionally, a white paper used to guide creation of the model in ModelBuilder was "Handbook for Conducting a GIS-Based Hazards Assessment at the County Level" by Susan L. Cutter, Jerry T. Mitchell, and Michael S. Scott.Off-the-shelf software and data were used to generate this index. ModelBuilder in ArcGIS 10.1 was used to connect the data sources and run the calculations required by the model.-------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

  3. d

    Parcel Lots

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 4, 2025
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    Department of Buildings (2025). Parcel Lots [Dataset]. https://catalog.data.gov/dataset/parcel-lots
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Department of Buildings
    Description

    These are lands still within the District of Columbia that has never been subdivided into either Record or Tax Lots through the two offices that manage land records (OS & RPTA), this land is referred to as Parcels, expressed as fractions (Ex Parcel 117/36). In this example, the number “36” would be the 36th out conveyance from original Parcel 117. The tracking of parcels was started in 1905 when, by Act of Congress, all the District’s unsubdivided properties which were mostly rural farms at the time were given parcel numbers. Their boundaries were also depicted (in many cases approximated), in large books in DCRA's Office of the Surveyor. Until the late 1960s, building permits were routinely issued by the city for new construction on Parcels, but today all Parcels, like Tax Lots, must be converted into subdivision Lots of Record before permits will be issued for exterior work. Parcels are only found in the old “County of Washington,” north of Florida Ave and east of the Anacostia River. There are no Parcels found within the original city limits or Georgetown. Parcels are not in Squares. There are examples where parcel land may be physically located in the middle of a city Square, but Parcels are not considered part of a Square until they are duly subdivided by the D.C. Surveyor’s Office.

  4. m

    MassGIS Data: Property Tax Parcels

    • mass.gov
    Updated Aug 29, 2018
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    MassGIS (Bureau of Geographic Information) (2018). MassGIS Data: Property Tax Parcels [Dataset]. https://www.mass.gov/info-details/massgis-data-property-tax-parcels
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    Dataset updated
    Aug 29, 2018
    Dataset authored and provided by
    MassGIS (Bureau of Geographic Information)
    Area covered
    Massachusetts
    Description

    March 2025

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NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Mapping Program of PORT OF GEORGETOWN, SC, SC1501-CS-N [Dataset]. https://catalog.data.gov/dataset/shoreline-mapping-program-of-port-of-georgetown-sc-sc1501-cs-n1

Shoreline Mapping Program of PORT OF GEORGETOWN, SC, SC1501-CS-N

Explore at:
Dataset updated
Oct 31, 2024
Dataset provided by
NGS Communications and Outreach Branch (Point of Contact, Custodian)
Area covered
Georgetown, South Carolina
Description

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF GEORGETOWN, SC . 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

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