Building locations and uses at the Isle of Wight County, Virginia, Municipal Center/Courthouse Complex.

Vertical Assets in Isle of Wight County, Virginia
Data as of 2015-06
reference:
http://www.vait.gis.bev.vt.edu/index.php

Survey Control documents for Isle of Wight County, Virginia.

Roadmap for Isle of Wight County, Virginia. Updated February 21, 2024.

Map showing the location of Historic Districts in Isle of Wight County, Virginia.

Survey monuments in Isle of Wight County, Virginia.

Levels of Noise Pollution in Hampshire and the Isle of Wight Integrated Care System (ICS) during Nighttime and 24-Hour Periods Based on Data from Strategic Noise Mapping. An Interactive Map Application Recommended Citation: Tsimpida, D., & Tsakiridi, A. (2025). Levels of noise pollution in Hampshire and the Isle of Wight Integrated Care System (ICS) during nighttime and 24-hour periods based on data from strategic noise mapping: An interactive map application. License: CC BY – This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. Information about Geographic Location of Data Collection: England Related Projects: Tsimpida, D., Environmental Health and Wellbeing Dynamics: Mapping High-Exposure Neighbourhoods and Assessing Transportation Noise Pollution's Impact on Population Health. This project is funded by the Sustainability & Resilience Institute (SRI), University of Southampton. The views expressed are those of the author(s) and not necessarily those of SRI or the University of Southampton. Methodological Information: To quantify noise pollution, we used the new Noise Mapping Geographic Information Systems (GIS) datasets developed by Defra that calculate noise exposure levels and are openly available: Department for Environment, Food & Rural Affairs. Strategic noise mapping (2022) [Internet]. 2024. Available from: https://www.gov.uk/government/publications/strategic-noise-mapping-2022 For our analyses, we used both the day-evening-night level (Lden) and the night level (Lnight). The Lden level is a noise metric used to assess overall annoyance, calculated as the annual average A-weighted sound level over a 24-hour period. This measure includes a 5-decibel (dB(A)) penalty for evening noise (7 pm to 11 pm) and a 10 dB(A) penalty for nighttime noise (11 pm to 7 am). The Lnight is a nighttime noise indicator that reflects the annual average A-weighted sound level during the night period (11 pm to 7 am), representing the total sound energy equivalent to the fluctuating noise levels experienced throughout that period. _ Geospatial Analysis Information: All geospatial models in this study used Lower Super Output Areas (LSOAs) as the unit of analysis. In all analyses, we used the LSOA boundaries published by the Office for National Statistics as of March 21, 2021: Office for National Statistics. Census 2021 geographies [Internet]. 2021. Available from: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies _ Integrated Care Board Boundaries: Digital vector boundaries for Integrated Care Boards in England were those published by the Office for National Statistics: Integrated Care Boards (April 2023) EN BGC [Internet]. 2023. Available from: https://www.data.gov.uk/dataset/d6bcd7d1-0143-4366-9622-62a99b362a5c/integrated-care-boards-april-2023-en-bgc This version of the dataset, https://doi.org/10.5258/soton/d3377v2, was updated on 2015/02/17. The previous version is available at https://doi.org/10.5258/soton/d3377v1

Roadmap for the Carrollton area of Isle of Wight County, Virginia. Updated February 21, 2024.

Isle of Wight County, Virginia, Election Districts.

Roadmap for the Town of Windsor, in Isle of Wight County, Virginia.

E-911 Mapbook. Updated 08/01/23. Contains every road and address within Isle of Wight County, Virginia.

Roadmap for the Town of Smithfield, Virginia.

Document depicting designated emergency services helicopter reference points and landing zone sites in Isle of Wight County, Virginia (12 Jan 2015 update).

This dataset represents scenario-based hurricane evacuation zones for the corresponding counties.For full details on this dataset please see the VDEM Know Your Zone web page: https://www.vaemergency.gov/hurricane-evacuation-zone-lookup/For questions, please email gis@vdem.virginia.govZones were updated July 2020 in localities containing Navy and Air Force installations at the DOD's request. Zone names amended with '-N' cover a naval installations and names amended with '-AF' cover an air force installation allowing for specific messaging for the areas.Geographic sub zones added May 2024. Eastern Shore (Accomack and Northampton counties), Northern Neck (Lancaster, Northumberland, Richmond and Westmoreland counties), Middle Peninsula (Essex, Gloucester, Mathews and Middlesex counties), Peninsula (cities of Hampton, Poquoson and Newport News and James City and York counties) and Southside (cities of Chesapeake, Norfolk, Portsmouth, Suffolk and Virginia Beach and Isle of Wight county).Official Zone Colors should use the following:ZONE A | RED | HEX# CA3A4A | C16 / M92 / Y70 / K3 | R202 / G58 / B74ZONE B | ORANGE | HEX# CD7B29 | C73 / M49 / Y0 / K19 | R55 / G105 / B206 ZONE C | YELLOW | HEX# FFDB45 | C73 / M49 / Y0 / K19 | R55 / G105 / B206 ZONE D | BLUE | HEX# 6DA4D8 | C56 / M25 / Y0 / K0 | R109 / G164 / B216~~~~~~~This file represents hurricane evacuation scenario zones derived by Atkins from VA_COUNTY, a feature class representing locality (county and city) boundaries in the Commonwealth of Virginia. Final data deliverable was given to VDEM on: July 7, 2017. Zones shapefiles were created by subdividing the VA_COUNTY polygon feature into scenario-based hurricane evacuation zones by county, based on digitized zone linework.

The National Oceanic and Atmospheric Administration (NOAA), specifically the National Weather Service's (NWS) National Hurricane Center (NHC), utilizes the hydrodynamic Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model to simulate storm surge from tropical cyclones. Storm surge information is provided to federal, state, and local partners to assist in a range of planning processes, risk assessment studies, and operational decision-making. In regards to the former, tens of thousands of climatology-based hypothetical tropical cyclones are simulated in each SLOSH basin (or grid), and the potential storm surges are calculated. Storm surge composites – Maximum Envelopes of Water (MEOWs) and Maximum of MEOWs (MOMs) – are created to assess and visualize storm surge risk under varying conditions. While MEOWs and MOMs provide a local assessment of storm surge risk, they do not provide a seamless perspective of the hazard owing to the many discrete SLOSH grids. This section briefly describes the scientific techniques used to create the seamless inundation maps for Category 1-5 hurricanes using the SLOSH MOM product as well as a description of the datasets and map viewer available to the public.https://www.nhc.noaa.gov/nationalsurge/

OverviewNatural England and the Environment Agency have collaborated to produce a seagrass layer for English waters, which aims to provide a comprehensive geospatial dataset of surveys of both current and historical spatial seagrass. The layer identifies a current seagrass extent; using the best and most recent available evidence and agreed by both organisations.

These datasets have been provided by NE and the EA, as well as a number of third parties. Details of these third parties can be found in the accompanying metadata file.CaveatsThere are two genera of seagrass present in English waters: Ruppia sp. and Zostera sp. Commonly the use of ‘seagrass’ only refers to Zostera sp. (also known as Eelgrass). However, this dataset includes both Ruppia sp. and Zostera sp. If using the layer file, Ruppia sp. are identified by differing symbology. In the raw attribute data, Ruppia sp. and Zostera sp. can be distinguished using the EUNIS codes in the HAB_TYPE field.

Seagrass data is only available where and when surveys have been carried out. Therefore, absence of seagrass in a specific year does not necessarily indicate that seagrass was not present, it may simply mean that no survey was completed that year. Similarly, there may be locations where seagrass is present, but has not been surveyed, and therefore is not represented in this dataset, such as the Medway Estuary.

The seagrass layer only includes polygon data. There may be additional seagrass habitats which only have point data available, these are not included in the seagrass layer.

Identified polygon extents may be affected by survey method. For example, a walking survey may not collect data below a certain depth, and a DDV survey from a boat may not collect data above a certain depth. A survey method field is included in the data, to ensure this can be accounted for.

As data is collected from/using a variety of sources and methods the accuracy of the data varies. A data confidence field is supplied to provide an indication of confidence in the data accuracy. Confidence categories are assigned based on expert judgement and local knowledge. Some historical data has a particularly low confidence and may be assigned with a category of ‘presence only’. Polygons with this confidence should only be used to identify previous seagrass presence, they should not be used to identify previous seagrass extent.MetadataThis dataset contains a collation of current and historic seagrass data by Natural England and the Environment Agency. This includes data collected or commissioned by Natural England, the Environment Agency, or provided by third parties that have allowed their data to be republished under the Open Government Licence (OGL). The dataset identifies a current extent of seagrass which used the best available evidence and has been agreed by both Natural England and the Environment Agency. Before carrying out any analyses using this layer, the associated README file, which provides a list of dataset caveats, should be read. Seagrass beds are an important resource for both carbon storage and biodiversity. They are a designated feature in a number of Marine Protected Areas, used to inform ecological assessment as part of the Water Framework Directive, and are the focus of habitat restoration schemes such as the LIFE Recreation ReMEDIES project.This dataset contains records that qualify as open and therefore can be published under the Open Government Licence (OGL). These records are extracted and collated from the Environment Agency Seagrass Database and Natural England Marine Evidence Base (MEB), is a collated database of both NE and 3rd party surveys. All non-seagrass habitats are excluded from the Seagrass Layer, and datasets are clipped to English waters only. The Environment Agency WFD Areas dataset is used identify which area each seagrass bed lies within. Extraction of data from the NE Marine Evidence Base is based on the dataset identifier, access limitations and data owner as defined within the Marine Metadatabase to ensure that only open datasets are included in the open version. A full list of the survey datasets used in the production of this dataset can be found in the Survey Metadata sheet included with the download.Attribution Statement: © Natural England © Environment Agency. Contains Ordnance Survey data © Crown copyright and database right 2022 Contains data from © Joint Nature Conservation Committee © North Eastern Inshore Fisheries & Conservation Authority 2017 © Yorkshire Wildlife Trust © Cornwall County Council © Harwich Haven Authority.The MAGiC version also includes data not included in the download file from © Hampshire and Isle of Wight Wildlife. Full metadata can be viewed on data.gov.uk.

(Link to Metadata) 15-centimeter black and white orthoimagery tiles (uncompressed GeoTIFF and compressed JPEG2000) derived from original 2018 color orthoimagery tiles. Product: This metadata record describes the acquisition and production of 15-centimeter raw uncompressed imagery (uncompressed TIFF), black and white orthoimagery tiles (uncompressed GeoTIFF and compressed JPEG2000), and color orthoimagery tiles (uncompressed GeoTIFF and compressed JPEG2000) covering portions of Vermont and acquired during the spring of 2018. Geographic Extent: The 2018 15cm extent included partial coverage of Addison, Caledonia, Chittenden, Essex, Franklin, Grand Isle, Lamoille, Orange, Rutland, Washington, and Windsor Counties in Northern Vermont, approximately 913 total square miles. Dataset Description: The Vermont 2018 Orthoimagery project called for the planning, acquisition, processing, and derivative products of imagery data to be collected at an ground sample distance of 15 centimeters. Project specifications are based on the ASPRS Positional Accuracy Standards for Digital Geospatial Data. The data were developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System Vermont (FIPS 4400), meters. Raw imagery data were produced in 16-bit 4-band (RGB-IR) uncompressed format, then processed to create 24-bit 4-band (RGB-IR) orthorectified tiles. Compressed orthoimagery was produced in JPEG2000 format (18:1 compression). Additional sets of uncompressed GeoTIFF and compressed JPEG 2000 data were produced in black and white. A total of 2,919 tiles were produced with a tile size of 900 meters x 900 meters. Tile names use the following naming convention "VT_(TILENUM)_(YYYYMMDD).(FileExtension)", where: TILENUM = the 8-digit value of the TILENUM attribute in the master index files. YYYYMMDD = the flight acquisition date (or majority date) for that particular tile. Ground Conditions: Imagery was collected in the spring of 2018 during minimal shadow conditions. In order to post process the imagery data to meet task order specifications, Quantum Spatial utilized 53 control points. These control points were established throughout the project area and used to check the accuracy of the data.