Northeastern United States Town Boundary data are intended for geographic display of state, county and town (municipal) boundaries at statewide and regional levels. Use it to map and label towns on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

Background and Data Limitations The Massachusetts 1830 map series represents a unique data source that depicts land cover and cultural features during the historical period of widespread land clearing for agricultural. To our knowledge, Massachusetts is the only state in the US where detailed land cover information was comprehensively mapped at such an early date. As a result, these maps provide unusual insight into land cover and cultural patterns in 19th century New England. However, as with any historical data, the limitations and appropriate uses of these data must be recognized: (1) These maps were originally developed by many different surveyors across the state, with varying levels of effort and accuracy. (2) It is apparent that original mapping did not follow consistent surveying or drafting protocols; for instance, no consistent minimum mapping unit was identified or used by different surveyors; as a result, whereas some maps depict only large forest blocks, others also depict small wooded areas, suggesting that numerous smaller woodlands may have gone unmapped in many towns. Surveyors also were apparently not consistent in what they mapped as ‘woodlands’: comparison with independently collected tax valuation data from the same time period indicates substantial lack of consistency among towns in the relative amounts of ‘woodlands’, ‘unimproved’ lands, and ‘unimproveable’ lands that were mapped as ‘woodlands’ on the 1830 maps. In some instances, the lack of consistent mapping protocols resulted in substantially different patterns of forest cover being depicted on maps from adjoining towns that may in fact have had relatively similar forest patterns or in woodlands that ‘end’ at a town boundary. (3) The degree to which these maps represent approximations of ‘primary’ woodlands (i.e., areas that were never cleared for agriculture during the historical period, but were generally logged for wood products) varies considerably from town to town, depending on whether agricultural land clearing peaked prior to, during, or substantially after 1830. (4) Despite our efforts to accurately geo-reference and digitize these maps, a variety of additional sources of error were introduced in converting the mapped information to electronic data files (see detailed methods below). Thus, we urge considerable caution in interpreting these maps. Despite these limitations, the 1830 maps present an incredible wealth of information about land cover patterns and cultural features during the early 19th century, a period that continues to exert strong influence on the natural and cultural landscapes of the region.

    Acknowledgements
    Financial support for this project was provided by the BioMap Project of the Massachusetts Natural Heritage and Endangered Species Program, the National Science Foundation, and the Andrew Mellon Foundation. This project is a contribution of the Harvard Forest Long Term Ecological Research Program.

This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer includes the area within each town in the Ipswich River Watershed in vector form. This map contains complete information and was derived from the ip30_noinfo_towns layer. To show area within the towns the make up the Ipswich River Watershed study area.

How would you define the boundaries of a town or city in England and Wales in 2016?

Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities.

In reality, the ability to delimit the boundaries of a city or town is difficult!

Major Towns and Cities

The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011.

This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right.

The blue polygons are the towns and cities and the purple polygons are the built-up areas.

Combined New England City and Town Areas; 2020 Census - January 1, 2020 vintage

This Feature Class was created in 2014 as a part of the State of Connecticut’s Policy Intergovernmental Policy Division grant to the Southern Connecticut Regional Council of Governments for the Regional Web-Based GIS program.The development of the parcel layer was started in 1998-1999 by East Coast Mapping of New Hampshire. East Coast created CAD Drawings for the Town of Wallingford generated through the digitization of Town of Wallingford’s Tax Maps. By use of stereoscopic techniques East Coast created a seamless parcel base from a 2000 aerial flight’s orthophoto’s (1x600ft scale). The CAD files and base were then given to the Wallingford’s Town Engineer who maintained the base. New England Geosystems of Middletown, CT received the CAD files from Wallingford in 2014 and converted the files to GIS format to create the parcel layer. Last Updated: April 2019

Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

Incorporated Places are those reported to the Census Bureau as legally in existence as of the latest Boundary and Annexation Survey (BAS), under the laws of their respective states. An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division, which generally is created to provide services or administer an area without regard, necessarily, to population. Places always are within a single state or equivalent entity, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough but can have other legal descriptions. For Census Bureau data tabulation and presentation purposes, incorporated places exclude:

1) The boroughs in Alaska (treated as statistical equivalents of counties).

2) Towns in the New England states, New York, and Wisconsin (treated as MCDs).

3) The boroughs in New York (treated as MCDs).

🇬🇧 영국 English How would you define the boundaries of a town or city in England and Wales in 2016? Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities. In reality, the ability to delimit the boundaries of a city or town is difficult! Major Towns and Cities The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011. This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right. The blue polygons are the towns and cities and the purple polygons are the built-up areas.

The 2020 TIGER/Line Shapefiles contain current geographic extent and boundaries of both legal and statistical entities (which have no governmental standing) for the United States, the District of Columbia, Puerto Rico, and the Island areas. This vintage includes boundaries of governmental units that match the data from the surveys that use 2020 geography (e.g., 2020 Population Estimates and the 2020 American Community Survey). In addition to geographic boundaries, the 2020 TIGER/Line Shapefiles also include geographic feature shapefiles and relationship files. Feature shapefiles represent the point, line and polygon features in the MTDB (e.g., roads and rivers). Relationship files contain additional attribute information users can join to the shapefiles. Both the feature shapefiles and relationship files reflect updates made in the database through September 2020. To see how the geographic entities, relate to one another, please see our geographic hierarchy diagrams here.Census Urbanized Areashttps://www2.census.gov/geo/tiger/TIGER2020/UACCensus Urban/Rural Census Block Shapefileshttps://www.census.gov/cgi-bin/geo/shapefiles/index.php2020 TIGER/Line and Redistricting shapefiles:https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2020.htmlTechnical documentation:https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdfTIGERweb REST Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_restmapservice.htmlTIGERweb WMS Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_wms.htmlThe legal entities included in these shapefiles are:American Indian Off-Reservation Trust LandsAmerican Indian Reservations – FederalAmerican Indian Reservations – StateAmerican Indian Tribal Subdivisions (within legal American Indian areas)Alaska Native Regional CorporationsCongressional Districts – 116th CongressConsolidated CitiesCounties and Equivalent Entities (except census areas in Alaska)Estates (US Virgin Islands only)Hawaiian Home LandsIncorporated PlacesMinor Civil DivisionsSchool Districts – ElementarySchool Districts – SecondarySchool Districts – UnifiedStates and Equivalent EntitiesState Legislative Districts – UpperState Legislative Districts – LowerSubminor Civil Divisions (Subbarrios in Puerto Rico)The statistical entities included in these shapefiles are:Alaska Native Village Statistical AreasAmerican Indian/Alaska Native Statistical AreasAmerican Indian Tribal Subdivisions (within Oklahoma Tribal Statistical Areas)Block Groups3-5Census AreasCensus BlocksCensus County Divisions (Census Subareas in Alaska)Unorganized Territories (statistical county subdivisions)Census Designated Places (CDPs)Census TractsCombined New England City and Town AreasCombined Statistical AreasMetropolitan and Micropolitan Statistical Areas and related statistical areasMetropolitan DivisionsNew England City and Town AreasNew England City and Town Area DivisionsOklahoma Tribal Statistical AreasPublic Use Microdata Areas (PUMAs)State Designated Tribal Statistical AreasTribal Designated Statistical AreasUrban AreasZIP Code Tabulation Areas (ZCTAs)Shapefiles - Features:Address Range-FeatureAll Lines (called Edges)All RoadsArea HydrographyArea LandmarkCoastlineLinear HydrographyMilitary InstallationPoint LandmarkPrimary RoadsPrimary and Secondary RoadsTopological Faces (polygons with all geocodes)Relationship Files:Address Range-Feature NameAddress RangesFeature NamesTopological Faces – Area LandmarkTopological Faces – Area HydrographyTopological Faces – Military Installations

This dataset contains data from a process-oriented research cruise aboard the R/V Neil Armstrong from June 18th to July 2nd. The goal of this cruise was to map the three-dimensional structure of a mid-depth salinity maximum intrusion of warm salinity slope water extending onto the continental shelf south of New England. This was done through the use of Autonomous Underwater Vehicles (two REMUS 100 vehicles and one Tethys class AUV (Long Range AUV or LRAUV)), a towed Rockland Scientific Vertical Microstructure Profiler (VMP 250), and ship-board CTD and ADCP measurements. More details about the processing, data coverage, and usage can be found in the accompanying manuscript. This cruise took place on the shelf waters south of Cape Cod, MA, extending to the shelf break, with all of the data collected between 40°N to 41°N and 71.5°W to 70°W. Attached is a data map showing the location of all data included within this dataset.

File Descriptions:

Datamap.jpg

A map of the locations of all data included within this dataset.

CTD_summer2021.mat

This file contains profiles from the ship-board CTD (SeaBird 911+). Raw data was processed and gridded into 1 decibar bins using standard procedures in Seasave V 7.26.7.121 (Look at cnv file header for details about processing). This file is organized as a structure, with each variable in the data being a different field called by dot notation and each row with the structure being a different CTD profile. Biooptical variables are not quality-controlled.

CTD.time: the time of each profile in the MATLAB datetime format (from the processed SeaBird header file) in GMT

CTD.lon: degrees longitude of the profile (from the processed SeaBird header file)

CTD.lat: degrees latitude of the profile (from the processed SeaBird header file)

CTD.pres: the pressure in decibar at each location of the profile

CTD.sal: the seawater practical salinity in psu

CTD.temp: the seawater in-situ temperature in °C

CTD.flor: seawater fluorescence in mg/ m3

CTD.depth: depth at each location within the profile in meters

CTD.density: sigmatheta (the potential seawater density with respect to a reference pressure of 0 db) in kg.m3 minus 1,000kg/m3

CTD_Darter_MMMdd.mat and CTD_Edgar_MMMdd.mat

These files contain the data from the REMUS 100 missions, with Darter and Edgar being the two different REMUS 100 vehicles.

Conductivity: conductivity in mS/cm

Depth: depth in meters

Latitude: degrees latitude

Longitude: degrees longitude

Mission_number: the number of the REMUS mission

Mission_time: time during the mission in seconds since midnight in GMT

Salinity: the seawater practical salinity in psu

Sound_speed: the sound speed in m/s

Temperature: the seawater temperature in °C

LRAUV_20210623T194917.mat and LRAUV_20210624T145829.mat

These files contain data from the Tethys Class LRAUV (Long Range AUV) missions. Each file contains 10 structure variables.

CTD_Seabird: structure containing the bin median temperature in °C and salinity in PSU.

depth: the depth at each data point in meters.

fix_residual_percent_distance_traveled: underwater dead-reckoned navigation error (based on GPS fix when on surface) as a percentage of distance traveled

latitude: Latitude at each data point (not corrected for vehicle drift in underwater current)

latitude_fix: latitude of GPS fix (vehicle surfaced)

longitude: Longitude at each data point (not corrected for vehicle drift in underwater current)

longitude_fix: longitude of GPS fix (vehicle surfaced)

platform_battery_charge: The battery charge in ampere-hour

time_fix: time in seconds since January 1, 1970 (epoch time)

VMPtransact_YYYYMMdd.mat

Vertical Microstructure Profiler (Rockland Scientific VMP 250)

These files contain the processed data for each Vertical Microstructure Profiler (Rockland Scientific VMP 250) transect, consisting of multiple profiles. Data has been gridded on a 1 decibar equidistant grid using standard procedures in Rockland Scientific’s processing software. Note: Bio-optical variables and dissipation rates have not been quality-controlled.

Time: Time in MATLAB datenum format (days since 0000-00-00 00:00:00) in GMT

z: Pressure in decibar

T: in-situ temperature in degC

cnd: conductivity in mS/cm

Chl: Chlorophyll from fluorescence in mg/ m3

turb: Turbidity in NTU

eps: dissipation rate inferred from microstructure shear in m^2/s^3. (Note: Dissipation estimates come from standard fitting of microstructure data within a 1 decibar bin to a turbulence spectrum within Rockland Scientific’s standard processing. The dissipation data in the provided files has not been quality-controlled.

VMP-data was georeferenced by comparing the time stamps of VMP and processed ADCP files.

ADCP_ar50_wh300.mat

This file contains the data from the shipboard ADCP (Teledyne WH300 kHz). ADCP data was processed aboard using standard procedures in UHDAS/CODAS (University of Hawaii Technical Services Program, servicing UNOLS vessels (https://currents.soest.hawaii.edu/docs/adcp_doc/index.html). Vertical bin size is 2 m. u: zonal (positive towards east) velocity component in m/s

v: meridional (positive towards north) component in m/s

txy: time, longitude, and latitude of the velocity profiles. Time is in decimal days, with noon of Jan 1 being 0.5 decimal days and noon of January 20th being 19.5 decimal days of the reference year. For another example, 6am on June 18, 2021, is decimal day 168.25. All times are in GMT.

refyear: The reference year from which the decimal days are calculated.

depth: vertical coordinate of the velocity bin center

pgood: percent good, a quality parameter showing the fraction of good pings within an ensemble average.

spd_u: zonal ship speed in m/s

spd_v: meridional ship speed in m/s

tr_temp: ADCP transducer temperature in deg C

amp: backscatter amplitude in relative units

This Feature Class was adjusted in 2014 as a part of the State of Connecticut’s Policy Intergovernmental Policy Division grant to the Southern Connecticut Regional Council of Governments for the Regional Web-Based GIS program project.The parcel dataset was developed by Sewall Co of Maine in 1999. It was created in NAD 83 State Plane Coordinate System. The parcel layer was digitized from the Town of West Haven's georeferenced tax maps, surveys, deeds and assessors map. Sewall conducted a fly-over in the late 90s producing aerial imagery. Updates as done on an as-needed basis by New England Geosystems.

Worcester, first established as a town in 1722 (and later incorporated as a city in 1848), celebrated its 300th anniversary in 2022. During the past three centuries, Worcester has evolved from modest beginnings to a major manufacturing center in the 19th century, and to the diverse and modern city of today - the second most populous in New England, rich in innovation, history, and culture.Each of the maps included in this story provides us with a view of Worcester at a particular moment in time. Read on to explore these maps and to learn how Worcester's history is reflected in the city of today.

Map layers.

The Historic Environment Opportunity Map for New Woodland dataset identifies areas in England that may be suitable for new woodland, based solely on available Historic Environment data. The dataset categorises land by different opportunity ratings to reflect the potential suitability of land for woodland creation while acknowledging areas of uncertainty due to data availability.The purpose of this dataset is to guide landowners, planners, and decision-makers in considering woodland creation from a historic environment perspective. It should be noted that this dataset only considers the Historic Environment and therefore the opportunity ratings do not guarantee or preclude approval for woodland creation proposals.As any forestry proposal could have the potential to affect the Historic Environment you should contact your local historic environment service. The local historic environment service can provide further data to support woodland creation proposals.NHLE is the official, up to date register of all nationally protected historic buildings and sites in England.SHINE is a single, nationally consistent dataset of non-designated historic and archaeological features from across England that could benefit from land management schemes.The opportunity ratings are as defined:· Favourable - Areas deemed suitable for new woodland on consideration of available Historic Environment data.· Neutral - Areas deemed neither favourable nor unfavourable for new woodland on consideration of available Historic Environment data. Proposals in these areas will require additional consideration of the Historic Environment on a case-by-case basis.· Unclassified - Areas, where SHINE data has been supplied, with no assigned opportunity rating. This illustrates a current absence of recorded data from a Historic Environment perspective. However, as SHINE data is included in the dataset for this area, a degree of confidence may be inferred when considering the absence of historic environment features.· Unclassified (No SHINE supplied) - Areas, where SHINE data has not been supplied, with no assigned opportunity rating. This illustrates a current absence of recorded data from a Historic Environment perspective.· Unsuitable - Areas deemed unsuitable for new woodland on consideration of available Historic Environment data.Unclassified areas may be suitable or unsuitable for new woodland. To better understand these areas, contact the local historic environment service in accordance with the UKFS and Historic Environment Guidance for Forestry in England - GOV.UKThe datasets included in each opportunity rating are as follows:Favourable· Lost Historic Woodlands (ArchAI/Forestry Commission) – An A.I. dataset that identifies areas of woodland depicted on early 20th Century Ordnance Survey mapping which have since been lost.Neutral· Historic Parklands (Zulu Ecosystems) – an A.I. dataset that identifies areas of parkland depicted on early 20th Century Ordnance Survey mapping.· World Heritage Site Core data (Historic England) – Core areas of World Heritage Sites, as designated by UNESCO.· World Heritage Site Buffer (Historic England) – Buffer zones surrounding World Heritage Sites, as designated by UNESCO.· Ridge and Furrow (Low) (ArchAI) – an A.I. dataset that identifies areas of less well-preserved historic ridge and furrow derived from LiDAR data.Unclassified· HER Boundaries (SHINE supplied) – Geographic areas covered by local historic environment services, where SHINE data has been supplied to the Forestry Commission.· HER Boundaries (No SHINE supplied) - Geographic areas covered by local historic environment services where SHINE data has not been supplied to the Forestry Commission.Unsuitable· Historic Landscape Characterisation (HLC) (local historic environment services) – regional datasets that provide information on the historic character of the landscape.· Scheduled Monuments (Historic England) – Protected archaeological sites of national importance.· Scheduled Monuments Buffer – A 20 metre buffer surrounding Scheduled Monuments in-line with UKFS.· Selected Heritage Inventory for Natural England (SHINE)(local historic environment services) – National dataset of non-designated heritage assets.· Registered Parks and Gardens (Historic England) – Parks and Gardens designated as being of national significance.· Registered Battlefields (Historic England) – Battlefields designated as being of national significance.· Ridge and Furrow (High) (ArchAI) – an A.I. dataset that identifies areas of well-preserved historic ridge and furrow derived from LiDAR data.

This Feature Class was created in 2014 as a part of the State of Connecticut’s Policy Intergovernmental Policy Division grant to the Southern Connecticut Regional Council of Governments for the Regional Web-Based GIS program.The development of the parcel layer was started in 1998-1999 by East Coast Mapping of New Hampshire. East Coast created CAD Drawings for the Town of Wallingford generated through the digitization of Town of Wallingford’s Tax Maps. By use of stereoscopic techniques East Coast created a seamless parcel base from a 2000 aerial flight’s orthophoto’s (1x600ft scale). The CAD files and base were then given to the Wallingford’s Town Engineer who maintained the base. New England Geosystems of Middletown, CT received the CAD files from Wallingford in 2014 and converted the files to GIS format to create the parcel layer.

© Town of Plymouth Assessor’s Department, New England Geosystems

The 1:63 360 / 1:50 000 scale map series are the most useful scale for most purposes. They provide almost complete coverage of onshore Great Britain. The BGS collection of 1:63 360 and 1:50 000 scale maps comprises two map series: - Geological Survey of England and Wales 1:63 360 / 1:50 000 Geological Map Series [New Series]. These maps are based on the Ordnance Survey One-inch New Series topographic basemaps and provide almost complete coverage of England and Wales, with the exception of sheet 180 (Knighton). The quarter-sheets of 1:63 360 Old Series sheets 91 to 110 coincide with sheets 1 to 73 of the New Series maps. These earlier maps often carry two sheet numbers which refer to the Old Series and the New Series. - Geological Survey of Scotland 1:63 360 / 1:50 000 Geological Map Series. These maps are based on the Ordnance Survey First, Second, Third and Fourth editions of the One-inch map of Scotland. The maps used the most recent topographic basemap available at the time. In the Western Isles, one-inch mapping was abandoned and replaced by maps at 1:100 000 scale, which are associated with this series. Sheets were traditionally issued at 1:63 360 scale, with the first 1:50 000 maps appearing in 1972. Sheets at 1:50 000 scale may be either facsimile enlargements of an existing 1:63 360 sheets, or may contain new geology and cartography. The latter bear the additional series designation '1:50 000 series'. Within the Scottish series, new mapping at 1:50 000 scale was split into east and west sheets. For example, the original one-inch sheet 32 became 1:50 000 sheets 32E and 32W. A number of irregular sheets were also introduced with the new 1:50 000 scale mapping. There are a number of irregular special sheets within both series. Geological maps represent a geologist's compiled interpretation of the geology of an area. A geologist will consider the data available at the time, including measurements and observations collected during field campaigns, as well as their knowledge of geological processes and the geological context to create a model of the geology of an area. This model is then fitted to a topographic basemap and drawn up at the appropriate scale, with generalization if necessary, to create a geological map, which is a representation of the geological model. Explanatory notes and vertical and horizontal cross sections may be published with the map. Geological maps may be created to show various aspects of the geology, or themes. The most common map themes held by BGS are solid (later referred to as bedrock) and drift (later referred to as superficial). These maps are, for the most part, hard-copy paper records stored in the National Geoscience Data Centre (NGDC) and are delivered as digital scans through the BGS website.

This dataset summarises information from WWT's wetland potential mapping at the WFD waterbody catchment (catchment) level. Data from multiple layers are pulled together to allow visualisation of the relative potential for wetlands across catchments of Great Britain. Specifically, it includes data from the WWT 'wetlands for water quality', 'wetlands for carbon storage', 'wetlands for flood resilience' and 'wetlands for urban wellbeing' indicative wetland potential maps, and from the Combined 'multi-benefit' wetland potential map, which amalgamates these four layers. It is recommended that users view these layers alongside the layers created from this dataset.The absence of mapped wetland potential in a catchment does not necessarily mean there is no potential to create wetlands, nor a lack of issues that wetland solutions could be used to address. Wetland potential was only mapped within 'demand' areas where there is a greater need for wetland solutions.This dataset includes the following information:UK Water Framework Directive (WFD) status and waterbody identifiers (for waterbodies in England, Wales and Scotland).Summary information on the total indicative wetland potential (from the four wetland potential maps) per catchment, including the total area (in hectares) and percentage cover of wetland potential across the catchment area.Total area and percentage cover of 'wetlands for flood resilience' and 'wetlands for water quality' potential per catchment. Number of potential 'wetlands for flood resilience' and 'wetlands for water quality' parcels per catchment (figures may be arbitrary due to intersects used to summarise wetland potential).Priority 'demand' catchments for potential 'wetlands for water quality'. Priority 'demand' catchments for potential 'wetlands for flood resilience'. Percentage change in household projections for 2018-2041, per catchment (averaged across Local Authorities and Higher Administrative areas (England & Wales) and Council areas (Scotland)).Average number of new builds (averaged across Local Authorities) built in 2021-2022, per catchment.WWT are calling for the creation of 100,000 hectares of new and restored wetlands in the UK by 2050. This dataset is a part of WWT’s Roadmap to 100,000 hectares project, which aims to assess both the spatial and economic potential for large-scale wetland restoration targeted at tackling some of the key issues faced by UK society. The work has a particular focus on four themes where wetlands can provide solutions, namely (1) wetlands for carbon storage (specifically saltmarsh for blue carbon), (2) wetlands for urban wellbeing, (3) wetlands for flood resilience, and (4) wetlands for water quality. Wetland potential for water quality, carbon storage, flood resilience and urban wellbeing has been mapped.Full methodology can be found here. Attributes:

Heading

Description

wb_id

ID number of the WFD waterbody

wb_name

Name of the WFD waterbody

country

UK country in which the WFD waterbody is located

WFD_class

WFD status classification of the waterbody

ovl_p_ha

Total area of wetland potential (from all four WWT wetland potential layers) in the catchment, in hectares

percnt_ovl

Total area of wetland potential (from all four WWT wetland potential layers) in the waterbody, as a percentage of the catchment area

count_ovl

Number of wetland potential parcels located in the catchment (arbitrary value)

nfm_p_ha

Total area of 'wetlands for flood resilience' potential in the catchment, in hectares

percnt_nfm

Total area of 'wetlands for flood resilience' potential in the catchment, as a percentage of the catchment area

count_nfm

Number of 'wetlands for flood resilience' parcels located in the catchment

wq_p_ha

Total area of 'wetlands for water quality' potential in the catchment

percnt_wq

Total area of 'wetlands for water quality' potential in the catchment, as a percentage of the catchment area

count_wq

Number 'wetlands for water quality' parcels located in the catchment

priorit_wq

Priority 'demand' catchments for 'wetlands for water quality' (1 = 'demand' catchment')

prior_nfm

Priority 'demand' catchments for 'wetlands for flood resilience' (1 = 'demand' catchment')

Av_percent

Percentage change in household predictions from 2018 - 2041 averaged across Local Authorities within the catchment

Av_nb_2122

Number of new builds (2021-22) per catchment (average across Local Authorities within the catchment)

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Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas: Combined New England City and Town Areas, New England City and Town Area Divisions, Metropolitan NECTAs, Micropolitan NECTAs, Combined Statistical Areas, Metropolitan Divisions, Metropolitan Statistical Areas, Micropolitan Statistical Areas