8 datasets found
  1. a

    Public Idaho Parcels

    • state-of-idaho-shared-resources-idaho.hub.arcgis.com
    • the-idaho-map-open-data-idaho.hub.arcgis.com
    Updated Mar 28, 2024
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    State of Idaho (2024). Public Idaho Parcels [Dataset]. https://state-of-idaho-shared-resources-idaho.hub.arcgis.com/maps/65a3f7c6d4ca404ba6ab677913953b35
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    Dataset updated
    Mar 28, 2024
    Dataset authored and provided by
    State of Idaho
    Area covered
    Description

    This layer is for the statewide standardized parcels polygons. This follows the standards that were approved by the Idaho Geospatial Council Executive Committee (IGC-EC). The data comes directly from the counties within Idaho that have a data sharing agreement with the Office of Information Technology Services (ITS). Each county within Idaho who chose to participate in the statewide effort are the owners of the data. Parcel data in constantly updated in the county office, this feature layer will be updated when ITS receives updates from the counties.A statewide Parcel Framework is a critical source of information for resource land management, community and economic development needs, infrastructure maintenance, research and analysis, homeland security, business development, public safety, and more. Many private sector and local, state, and federal government agencies have business needs for Parcel data.Standard:S4232 - Idaho Parcel Data Exchange Standard

  2. h

    SLR Potential Economic Loss - 1.1 Ft. Scenario

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +1more
    Updated Dec 21, 2017
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    Hawaii Statewide GIS Program (2017). SLR Potential Economic Loss - 1.1 Ft. Scenario [Dataset]. https://geoportal.hawaii.gov/maps/slr-potential-economic-loss-1-1-ft-scenario
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    Dataset updated
    Dec 21, 2017
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential economic loss was based on the value of the land and structures from the county tax parcel database permanently lost in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts potential economic loss using the 1.1-ft (0.3224-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2050, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Potential economic loss was analyzed individually for each hazard (passive flooding, annual high wave flooding, or coastal erosion) at the parcel level and subsequently aggregated in 1-hectare (100 square meter or 1,076 square foot) grids. For the islands of Hawaii, Lanai, and Molokai, the potential economic loss was based solely on passive flooding. Potential economic loss in the SLR-XA area was determined from the highest loss value of any one hazard within the 1-hectare grid, thus avoiding double counting a loss of a particular asset from multiple hazards. Those maximum values for each sector are then summed to determine the total economic loss to property in each grid. Assumptions and Limitations: The vulnerability assessment addressed exposure to chronic flooding with sea level rise. Key assumptions of the economic analysis for the SLR-XA included: (a) loss is permanent; (b) economic loss is based on the value in U.S. dollars in 2016 as property values in the future are unknown; (c) economic loss is based on the value of the land and structures exposed to flooding in the SLR-XA excluding the contents of the property and does not include the economic loss or cost to replace roads, water conveyance systems and other critical infrastructure; and (d) no adaptation measures are put in place that could reduce impacts in the SLR-XA. Economic value data were not available for length of roads, water and wastewater lines, and other public infrastructure due to the variable cost of such infrastructure depending on location, and the complexity and uncertainty involved in design, siting, and construction. Additionally, environmental assets such as beaches and wetlands were not assessed economically due to the complexity in valuing ecosystem services. The loss of both public infrastructure and environmental assets from flooding would result in significant economic loss. Therefore, the total potential economic loss figures estimated in these data are likely an underestimate. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf.

  3. r

    Land Use (2025)

    • rigis.org
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 13, 2006
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    Environmental Data Center (2006). Land Use (2025) [Dataset]. https://www.rigis.org/datasets/land-use-2025
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    Dataset updated
    Apr 13, 2006
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    This hosted feature layer has been published in RI State Plane Feet NAD 83.The Land Use 2025 dataset was developed for the Division of Planning, RI Statewide Planning Program as part of an update to a state land use plan. It evolved from a GIS overlay analysis of land suitability and availability and scenario planning for future growth. The analysis focused on the 37% of the State identified as undeveloped and unprotected in a land cover analysis from RIGIS 1995 land use land cover data. The project studied areas for suitability for conservation and development, based on the location of key natural resources and public infrastructure. The results identified areas with future use potential, under three categories of development intensity and two categories of conservation.These data are presented in the Plan as Figure 121-02-(01), Future Land Use Map. Land Use 2025: State Land Use Policies and Plan was published by the RI Statewide Planning Program on April 13, 2006. The intent of the Plan is to bring together the elements of the State Guide Plan such as natural resources, economic development, housing and transportation to guide conservation and land development in the State. The Plan directs the state and communities to concentrate growth inside the Urban Services Boundary (USB) and within potential growth centers in rural areas. It establishes different development approaches for urban and rural areas.These data have several purposes and applications: They are intended to be used as a policy guide for directing growth to areas most capable of supporting current and future developed uses and to direct growth away from areas less suited for development. Secondly, these data are a guide to assist the state and communities in making land use policies. It is important to note these data are a generalized portrayal of state land use policy. These are not a statewide zoning data. Zoning matters and individual land use decisions are the prerogative of local governments. The land use element is the over arching element in Rhode Island's State Guide Plan. The Plan articulates goals, objectives and strategies to guide the current and future land use planning of municipalities and state agencies. The purpose of the plan is to guide future land use and to present policies under which state and municipal plans and land use activities will be reviewed for consistency with the State Guide Plan. The Map is a graphical representation of recommendations for future growth patterns in the State. It depicts where different intensities of development (e.g. parks, urban development, non-urban development) should occur by color. The Map contains a USB that shows where areas with public services supporting urban development presently exist, or are likely to be provided, through 2025. Within the USB, most land is served by public water service; many areas also have public sewer service, as well as, public transit. Also included on the map are growth centers which are potential areas for development and redevelopment outside of the USB. Growth Centers are envisioned to be areas that will encourage development that is both contiguous to existing development with low fiscal and environmental impacts.NOTE: These data will be updated when the associated plan is updated or upon an amendment approved by the State Planning Council. NOTE: Wetlands were not categorized within the Land Use 2025 dataset.When using this dataset, the RIGIS wetlands dataset should be overlaid as a mask. Full descriptions of the categories and intended uses can be found within Section 2-4, Future Land Use Patterns, Categories, and Intended Uses, of the Plan. https://www.planning.ri.gov/documents/guide_plan/landuse2025.pdf

  4. h

    SLR Potential Economic Loss - 0.5 Ft. Scenario

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +2more
    Updated Dec 21, 2017
    + more versions
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    Hawaii Statewide GIS Program (2017). SLR Potential Economic Loss - 0.5 Ft. Scenario [Dataset]. https://geoportal.hawaii.gov/datasets/slr-potential-economic-loss-0-5-ft-scenario
    Explore at:
    Dataset updated
    Dec 21, 2017
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential economic loss was based on the value of the land and structures from the county tax parcel database permanently lost in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts potential economic loss using the 0.5-ft (0.1660-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2030, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Potential economic loss was analyzed individually for each hazard (passive flooding, annual high wave flooding, or coastal erosion) at the parcel level and subsequently aggregated in 1-hectare (100 square meter or 1,076 square foot) grids. For the islands of Hawaii, Lanai, and Molokai, the potential economic loss was based solely on passive flooding. Potential economic loss in the SLR-XA area was determined from the highest loss value of any one hazard within the 1-hectare grid, thus avoiding double counting a loss of a particular asset from multiple hazards. Those maximum values for each sector are then summed to determine the total economic loss to property in each grid. Assumptions and Limitations: The vulnerability assessment addressed exposure to chronic flooding with sea level rise. Key assumptions of the economic analysis for the SLR-XA included: (a) loss is permanent; (b) economic loss is based on the value in U.S. dollars in 2016 as property values in the future are unknown; (c) economic loss is based on the value of the land and structures exposed to flooding in the SLR-XA excluding the contents of the property and does not include the economic loss or cost to replace roads, water conveyance systems and other critical infrastructure; and (d) no adaptation measures are put in place that could reduce impacts in the SLR-XA. Economic value data were not available for length of roads, water and wastewater lines, and other public infrastructure due to the variable cost of such infrastructure depending on location, and the complexity and uncertainty involved in design, siting, and construction. Additionally, environmental assets such as beaches and wetlands were not assessed economically due to the complexity in valuing ecosystem services. The loss of both public infrastructure and environmental assets from flooding would result in significant economic loss. Therefore, the total potential economic loss figures estimated in these data are likely an underestimate. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf.

  5. H

    SLR Potential Economic Loss - 3.2 Ft. Scenario

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +1more
    Updated Sep 5, 2022
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    Office of Planning (2022). SLR Potential Economic Loss - 3.2 Ft. Scenario [Dataset]. https://opendata.hawaii.gov/dataset/slr-potential-economic-loss-3-2-ft-scenario
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    geojson, kml, zip, arcgis geoservices rest api, ogc wfs, csv, ogc wms, htmlAvailable download formats
    Dataset updated
    Sep 5, 2022
    Dataset provided by
    Tetra Tech, Inc.
    Authors
    Office of Planning
    Description

    Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential economic loss was based on the value of the land and structures from the county tax parcel database permanently lost in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts potential economic loss using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Potential economic loss was analyzed individually for each hazard (passive flooding, annual high wave flooding, or coastal erosion) at the parcel level and subsequently aggregated in 1-hectare (100 square meter or 1,076 square foot) grids. For the islands of Hawaii, Lanai, and Molokai, the potential economic loss was based solely on passive flooding. Potential economic loss in the SLR-XA area was determined from the highest loss value of any one hazard within the 1-hectare grid, thus avoiding double counting a loss of a particular asset from multiple hazards. Those maximum values for each sector are then summed to determine the total economic loss to property in each grid. Assumptions and Limitations: The vulnerability assessment addressed exposure to chronic flooding with sea level rise. Key assumptions of the economic analysis for the SLR-XA included: (a) loss is permanent; (b) economic loss is based on the value in U.S. dollars in 2016 as property values in the future are unknown; (c) economic loss is based on the value of the land and structures exposed to flooding in the SLR-XA excluding the contents of the property and does not include the economic loss or cost to replace roads, water conveyance systems and other critical infrastructure; and (d) no adaptation measures are put in place that could reduce impacts in the SLR-XA. Economic value data were not available for length of roads, water and wastewater lines, and other public infrastructure due to the variable cost of such infrastructure depending on location, and the complexity and uncertainty involved in design, siting, and construction. Additionally, environmental assets such as beaches and wetlands were not assessed economically due to the complexity in valuing ecosystem services. The loss of both public infrastructure and environmental assets from flooding would result in significant economic loss. Therefore, the total potential economic loss figures estimated in these data are likely an underestimate. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf.

  6. a

    Regional Opportunity Index People Tract

    • affh-data-resources-cahcd.hub.arcgis.com
    Updated Mar 10, 2021
    + more versions
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    Housing and Community Development (2021). Regional Opportunity Index People Tract [Dataset]. https://affh-data-resources-cahcd.hub.arcgis.com/items/2c0d50aa6889418db9fb0a6c25564334
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    Dataset updated
    Mar 10, 2021
    Dataset authored and provided by
    Housing and Community Development
    Area covered
    Description

    The Center for Regional Change and Rabobank have partnered to develop the Regional Opportunity Index (ROI), an index of community and regional opportunity for understanding social and economic opportunity in California’s communities. The goal of the ROI is to help target resources and policies toward people and places with the greatest need, to foster thriving communities of opportunity for all Californians. It does this by incorporating both a "people" component and a "place" component, integrating economic, infrastructure, environmental, and social indicators in to a comprehensive assessment of the factors driving opportunity.The Regional Opportunity Index was developed through a joint partnership between the UC Davis Center for Regional Change and Rabobank, N.A. Generous support also has been provided by Wells Fargo Bank for continued enhancement of the ROI.Original data sourced from: https://interact.regionalchange.ucdavis.edu/roi/data.html

  7. a

    General Plan Land Use

    • empower-la-open-data-lahub.hub.arcgis.com
    • geohub.lacity.org
    Updated Feb 24, 2018
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    GIS@LADCP (2018). General Plan Land Use [Dataset]. https://empower-la-open-data-lahub.hub.arcgis.com/datasets/e981169cdec3463892383021cb08dc2b
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    Dataset updated
    Feb 24, 2018
    Dataset authored and provided by
    GIS@LADCP
    Area covered
    Description

    The General Plan is the fundamental land use policy document of the City of Los Angeles. It defines the framework by which the City's physical and economic resources are to be managed and utilized over time. Decisions by the City with regard to the use of land; design and character of buildings and open space, conservation of existing housing and provision for new housing; provisions for the continued updating of the infrastructure; protection of environmental resources; protection of residents from natural and man-made hazards; and allocation of fiscal resources are guided by the Plan.Refresh Rate: Monthly

  8. a

    Parcels Public

    • state-of-idaho-shared-resources-idaho.hub.arcgis.com
    • the-idaho-map-open-data-idaho.hub.arcgis.com
    Updated Mar 28, 2024
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    State of Idaho (2024). Parcels Public [Dataset]. https://state-of-idaho-shared-resources-idaho.hub.arcgis.com/datasets/parcels-public
    Explore at:
    Dataset updated
    Mar 28, 2024
    Dataset authored and provided by
    State of Idaho
    Area covered
    Description

    This layer is for the statewide standardized parcels polygons. This follows the standards that were approved by the Idaho Geospatial Council Executive Committee (IGC-EC). The data comes directly from the counties within Idaho that have a data sharing agreement with the Office of Information Technology Services (ITS). Each county within Idaho who chose to participate in the statewide effort are the owners of the data. Parcel data in constantly updated in the county office, this feature layer will be updated when ITS receives updates from the counties.A statewide Parcel Framework is a critical source of information for resource land management, community and economic development needs, infrastructure maintenance, research and analysis, homeland security, business development, public safety, and more. Many private sector and local, state, and federal government agencies have business needs for Parcel data.Standard:S4232 - Idaho Parcel Data Exchange Standard

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State of Idaho (2024). Public Idaho Parcels [Dataset]. https://state-of-idaho-shared-resources-idaho.hub.arcgis.com/maps/65a3f7c6d4ca404ba6ab677913953b35

Public Idaho Parcels

Explore at:
Dataset updated
Mar 28, 2024
Dataset authored and provided by
State of Idaho
Area covered
Description

This layer is for the statewide standardized parcels polygons. This follows the standards that were approved by the Idaho Geospatial Council Executive Committee (IGC-EC). The data comes directly from the counties within Idaho that have a data sharing agreement with the Office of Information Technology Services (ITS). Each county within Idaho who chose to participate in the statewide effort are the owners of the data. Parcel data in constantly updated in the county office, this feature layer will be updated when ITS receives updates from the counties.A statewide Parcel Framework is a critical source of information for resource land management, community and economic development needs, infrastructure maintenance, research and analysis, homeland security, business development, public safety, and more. Many private sector and local, state, and federal government agencies have business needs for Parcel data.Standard:S4232 - Idaho Parcel Data Exchange Standard

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