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  • ItemOpen Access
    Embracing Bookness: Introducing Library Staff and Library Students to Text and Data Mining with HathiTrust Research Center
    (Association of College Research Libraries, 2025-09) Hogan, Rachel N.; Williams, Patrick
    In this chapter, we explore the affordances and benefits of teaching foundational text and data mining (TDM) skills to library staff and library school students using HathiTrust Digital Library (HTDL) and the associated HathiTrust Research Center (HTRC).1 HTDL provides access to more than 18 million volumes sourced from academic and public libraries in order to advance the goals of scholars and researchers, independent from corporate interest.2 HTDL represents an enormous source of texts familiar and unfamiliar to potential workshop audiences.
  • ItemOpen Access
    GIS Data – 2025 Shoreline Management Model - York County
    (Virginia Institute of Marine Science, 2025-09-29) Nunez, M. Karinna; Rudnicky, Tamia; Darling-Hendricks, Jessica; Duning, Catherine; Hill, Evan; Graulich, Jack; Lv, Miranda; Gregory, Sean; Angstadt, Kory
    In 2011, the Virginia General Assembly adopted a policy into law that specifies living shorelines as the preferred management practice for erosion control in Virginia waters. The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has been developing tools for many years to guide local governments in shoreline management. In particular, they have focused on the use of ecologically preferred alternatives for erosion control and have conducted research into refining the appropriate uses for a large suite of possible treatments based on existing shoreline conditions. A series of Decision Trees were developed to determine shoreline best management practices (BMPs) when conducting onsite inspections. These were developed to support integrated guidance at the management and regulatory level. This body of work has been expanded and re-developed as a GIS spatial model known as the Shoreline Management Model (SMM) to determine appropriate shoreline BMPs from the desktop using available spatial data and the decision tree logic. The assessment is conducted at a parcel level scale, but the output represents a reach-based or cumulative approach to shoreline management. In 2023, CCRM began an update of the SMM. Version 6.0 continues to use fetch, nearshore bathymetry, bank height, marsh presence, beach presence, presence of submerged aquatic vegetation (SAV), roads and permanent structures within the riparian zone, and existing shoreline erosion control structures. To enhance the model’s capabilities for evaluating best management practices and determining where erosion control practices may impact ecologically sensitive areas, version 6.0 adds wave energy, federal Form 06/27/2023 navigation channels, presence of RTE species via predicted suitable habitat, bank slope, and narrow creeks. Most appropriate for desktop reviews, regulatory compliance, and comprehensive planning, the recommendations derived from the SMM may be altered due to lot size, shoreline length along a single parcel, proximity of primary buildings to the shoreline, type of existing erosion control structures, land use practices, and local biota. The SMM v.6.0 also includes a module that identifies suitable areas for oyster structure placement, which can provide erosion control and habitat enhancement benefits.
  • ItemOpen Access
    GIS Data – 2025 Shoreline Management Model - Middlesex County
    (Virginia Institute of Marine Science, 2025-09-29) Nunez, M. Karinna; Rudnicky, Tamia; Darling-Hendricks, Jessica; Duning, Catherine; Hill, Evan; Graulich, Jack; Lv, Miranda; Gregory, Sean; Angstadt, Kory
    In 2011, the Virginia General Assembly adopted a policy into law that specifies living shorelines as the preferred management practice for erosion control in Virginia waters. The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has been developing tools for many years to guide local governments in shoreline management. In particular, they have focused on the use of ecologically preferred alternatives for erosion control and have conducted research into refining the appropriate uses for a large suite of possible treatments based on existing shoreline conditions. A series of Decision Trees were developed to determine shoreline best management practices (BMPs) when conducting onsite inspections. These were developed to support integrated guidance at the management and regulatory level. This body of work has been expanded and re-developed as a GIS spatial model known as the Shoreline Management Model (SMM) to determine appropriate shoreline BMPs from the desktop using available spatial data and the decision tree logic. The assessment is conducted at a parcel level scale, but the output represents a reach-based or cumulative approach to shoreline management. In 2023, CCRM began an update of the SMM. Version 6.0 continues to use fetch, nearshore bathymetry, bank height, marsh presence, beach presence, presence of submerged aquatic vegetation (SAV), roads and permanent structures within the riparian zone, and existing shoreline erosion control structures. To enhance the model’s capabilities for evaluating best management practices and determining where erosion control practices may impact ecologically sensitive areas, version 6.0 adds wave energy, federal Form 06/27/2023 navigation channels, presence of RTE species via predicted suitable habitat, bank slope, and narrow creeks. Most appropriate for desktop reviews, regulatory compliance, and comprehensive planning, the recommendations derived from the SMM may be altered due to lot size, shoreline length along a single parcel, proximity of primary buildings to the shoreline, type of existing erosion control structures, land use practices, and local biota. The SMM v.6.0 also includes a module that identifies suitable areas for oyster structure placement, which can provide erosion control and habitat enhancement benefits.
  • ItemOpen Access
    GIS Data – 2025 Shoreline Management Model - Lancaster County
    (Virginia Institute of Marine Science, 2025-09-29) Nunez, M. Karinna; Rudnicky, Tamia; Darling-Hendricks, Jessica; Duning, Catherine; Hill, Evan; Graulich, Jack; Lv, Miranda; Gregory, Sean; Angstadt, Kory
    In 2011, the Virginia General Assembly adopted a policy into law that specifies living shorelines as the preferred management practice for erosion control in Virginia waters. The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has been developing tools for many years to guide local governments in shoreline management. In particular, they have focused on the use of ecologically preferred alternatives for erosion control and have conducted research into refining the appropriate uses for a large suite of possible treatments based on existing shoreline conditions. A series of Decision Trees were developed to determine shoreline best management practices (BMPs) when conducting onsite inspections. These were developed to support integrated guidance at the management and regulatory level. This body of work has been expanded and re-developed as a GIS spatial model known as the Shoreline Management Model (SMM) to determine appropriate shoreline BMPs from the desktop using available spatial data and the decision tree logic. The assessment is conducted at a parcel level scale, but the output represents a reach-based or cumulative approach to shoreline management. In 2023, CCRM began an update of the SMM. Version 6.0 continues to use fetch, nearshore bathymetry, bank height, marsh presence, beach presence, presence of submerged aquatic vegetation (SAV), roads and permanent structures within the riparian zone, and existing shoreline erosion control structures. To enhance the model’s capabilities for evaluating best management practices and determining where erosion control practices may impact ecologically sensitive areas, version 6.0 adds wave energy, federal Form 06/27/2023 navigation channels, presence of RTE species via predicted suitable habitat, bank slope, and narrow creeks. Most appropriate for desktop reviews, regulatory compliance, and comprehensive planning, the recommendations derived from the SMM may be altered due to lot size, shoreline length along a single parcel, proximity of primary buildings to the shoreline, type of existing erosion control structures, land use practices, and local biota. The SMM v.6.0 also includes a module that identifies suitable areas for oyster structure placement, which can provide erosion control and habitat enhancement benefits.
  • ItemOpen Access
    GIS Data – 2025 Shoreline Management Model - Mathews County
    (Virginia Institute of Marine Science, 2025-09-29) Nunez, M. Karinna; Rudnicky, Tamia; Darling-Hendricks, Jessica; Duning, Catherine; Hill, Evan; Graulich, Jack; Lv, Miranda; Gregory, Sean; Angstadt, Kory
    In 2011, the Virginia General Assembly adopted a policy into law that specifies living shorelines as the preferred management practice for erosion control in Virginia waters. The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has been developing tools for many years to guide local governments in shoreline management. In particular, they have focused on the use of ecologically preferred alternatives for erosion control and have conducted research into refining the appropriate uses for a large suite of possible treatments based on existing shoreline conditions. A series of Decision Trees were developed to determine shoreline best management practices (BMPs) when conducting onsite inspections. These were developed to support integrated guidance at the management and regulatory level. This body of work has been expanded and re-developed as a GIS spatial model known as the Shoreline Management Model (SMM) to determine appropriate shoreline BMPs from the desktop using available spatial data and the decision tree logic. The assessment is conducted at a parcel level scale, but the output represents a reach-based or cumulative approach to shoreline management. In 2023, CCRM began an update of the SMM. Version 6.0 continues to use fetch, nearshore bathymetry, bank height, marsh presence, beach presence, presence of submerged aquatic vegetation (SAV), roads and permanent structures within the riparian zone, and existing shoreline erosion control structures. To enhance the model’s capabilities for evaluating best management practices and determining where erosion control practices may impact ecologically sensitive areas, version 6.0 adds wave energy, federal Form 06/27/2023 navigation channels, presence of RTE species via predicted suitable habitat, bank slope, and narrow creeks. Most appropriate for desktop reviews, regulatory compliance, and comprehensive planning, the recommendations derived from the SMM may be altered due to lot size, shoreline length along a single parcel, proximity of primary buildings to the shoreline, type of existing erosion control structures, land use practices, and local biota. The SMM v.6.0 also includes a module that identifies suitable areas for oyster structure placement, which can provide erosion control and habitat enhancement benefits.