This API returns a geography of a specified geography type by the geography id.

🇺🇸 미국

Field Lengths - 9, 255, 255, 9FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/MSOA11_to_CIS20_Lookup_131d08fc16814c5d8113175e0c9c6de2/FeatureServer

This is a lookup table containing various data related to cities, townships, unorganized territories (CTUs) and any divisions created by county boundaries splitting them. These are termed Minor Civil Division (MCDs) by the Census Bureau. The table encompases the Twin Cities 7-county metropolitan area. It is intended to be a Council wide master lookup table for these entites. It contains official federal and state unique identifiers for CTUs and MCDs as well as identifiers created and used by other organizations. The table also contains historical MCDs dating back to the 1990s and a few other non-MCD records that are of importance to Met. Council use of this table.

The County CTU Lookup Table relates to the Counties and Cities & Townships, Twin Cities Metropolitan Area dataset here: https://gisdata.mn.gov/dataset/us-mn-state-metc-bdry-metro-counties-and-ctus

NOTES:

- On 5/28/2014 a new field was added to reflect the new community designations defined in the Council's Thrive MSP 2040 regional plan - COMDES2040

- On 3/17/2011 it was discovered that the CTU ID used for the City of Lake St. Croix Beach was incorrect. It was changed from 2394379 to 2395599 to match GNIS.

- On 3/17/2011 it was discovered that the CTU ID used for the City of Lilydale was incorrect. It was changed from 2394457 to 2395708 to match GNIS.

- On 11/9/2010 it was discovered that the CTU ID used for the City of Crystal was incorrect. It was changed from 2393541 to 2393683 to match GNIS.

- Effective April 2008, a change was made in GNIS to match the FIPS place codes to the "civil" feature for each city instead of the "populated place" feature. Both cities and townships are now "civil" features within GNIS. This means that the official GNIS unique ID for every city in Minnesota has changed.

- As of January 1, 2006, the five digit FIPS 55-3 Place codes that were used as unique identifiers in this dataset (CTU_CODE and COCTU_CODE fields) were officially retired by the Federal governement. They are replaced by a set of integer codes from the Geographic Names Information System (GNIS_CODE field). Both codes will be kept in this database, but the GNIS_CODE is considered the official unique identifier from this point forward. The GNIS codes are also slated to become official ANSI codes for these geographic features. While GNIS treats these codes as 6 to 8 digit integer data types, the Census Bureau formats them as 8 digit text fields, right justified with leading zeros included.

- The Census Bureau will continue to create FIPS 55 Place codes for new cities and townships through the 2010 Census. After that, no new FIPS 55 codes will be created. Note that for townships that wholly incorporate into cities, the same FIPS 55 code will be used for the new city. (GNIS creates a new ID for the new city.)

- Cities and townships have also been referred to as ''MCDs'' (a Census term), however this term technically refers to the part of each city or township within a single county. Thus, a few cities in the metro area that are split by county boundaries are actually comprised of two different MCDs. This was part of the impetus for a proposed MN state data standard that uses the ''CTU'' terminology for clarity.

- A variety of civil divisions of the land exist within the United States. In Minnesota, only three types exist - cities, townships and unorganized territories. All three of these exist within the Twin Cities seven county area. The only unorganized territory is Fort Snelling (a large portion of which is occupied by the MSP International Airport).

- Some cities are split between two counties. Only those parts of cities within the 7-county area are included.

- Prior to the 2000 census, the FIPS Place code for the City of Greenwood in Hennepin County was changed from 25928 to 25918. This dataset reflects that change.

A. SUMMARY Lookup table for City lots (Parcels), which enables the tracking which lots were the successor lots for the new lots created. The data is in changelog format, meaning each row is a change of parcel_id -- containing both the old parcel id and the new parcel_id.

B. HOW THE DATASET IS CREATED This dataset is extracted from the SFGIS database

C. UPDATE PROCESS This dataset will update daily

D. HOW TO USE THIS DATASET Use this dataset to track and analyze how parcels have changed over time.

E. RELATED DATASETS Parcels Active and Retired Map of Active Parcels

A lookup file between 2020 Covid Infection Survey Geography to 2020 Local Authority Districts to 2019 Regions in the United Kingdom, as at 1 October 2020. (File size - 56KB) Field Names - CIS20CD, LAD20CDS, RGN19CD, RGN19NM, FIDField Types - Text, Text, Text, Text, NumericField Lengths - 9, 255, 9, 255FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/CIS20_to_RGN19_Lookup_b5eba17b771a43d7a6b956376b274c8f/FeatureServer

This lookup table relates to the web service 2018 Census household data by SA1. The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The household dataset is displayed by statistical area 1 geography and contains information on: • Total households • Tenure of household • Sector of landlord • Weekly rent paid by household, including median weekly rent paid by household • Number of motor vehicles • Access to telecommunication systems (total responses)

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, Values of ‘Null’ indicate data not collected.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for household, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

A lookup file between 2011 Middle Layer Super Output Areas (MSOA) to 2020 Covid Infection Survey Geography in the United Kingdom, as at 1 October 2020. (File size - 920KB) Field Names - MSOA11CD, MSOA11NM, MSOA11NMW, CIS20CD, FIDField Types - Text, Text, Text, Text, NumericField Lengths - 9, 255, 255, 9FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/MSOA11_to_CIS20_Lookup_131d08fc16814c5d8113175e0c9c6de2/FeatureServer

A lookup file between 2020 Covid Infection Survey Geography to 2019 Regions in England, as at 1 October 2020. (File size - 16KB) Field Names - CIS20CD, RGN19CD, FIDField Types - Text, Text, NumericField Lengths - 9, 9,FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Covid_Infection_Survey_October_2020_to_Region_Lookup_in_England/FeatureServer

Field Lengths - 9, 255, 9, 255FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/CIS20_to_RGN19_Lookup_b5eba17b771a43d7a6b956376b274c8f/FeatureServer

This file is a lookup between electoral ward/divisions, registration districts and local authority districts in England and Wales as at 31 December 2019. (File Size - 2MB) Field Names - WD19CD, WD19NM, REGD19CD, REGD19NM, LAD19CD, LAD19NM, FIDField Types - Text, Text, Text, Text, Text, Text, Text, TextField Lengths - 9, 53, 9, 31, 9, 35FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/WD19_REGD19_LAD19_EW_LU_1e61b0586026427b8e174c892e2ab2a4/FeatureServer

This lookup table refers to the web service 2018 Census individual part 3b data by SA1. The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 3b) dataset is displayed by statistical area 1 geography and contains information on: • Total hours worked in employment per week • Main means of travel to work, by usual residence address • Main means of travel to work, by workplace address* • Unpaid activities

• Workplace address is coded from information supplied by respondents about their workplaces. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The statistical area 1 dataset for 2018 Census excludes these ‘not further defined’ areas.

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, and values of ‘Null’ indicate data not collected.

This lookup table relates to the web service 2018 Census individual part 1 data by SA1. The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 1) dataset is displayed by statistical area 1 geography and contains information on: • Census usually resident population count • Census night population count • Unit record data source • Sex • Age in five-year groups, including median age • Age in broad groups • Age in five-year groups by sex, including median age • Years at usual residence • Usual residence five years ago (2013) indicator • Usual residence one year ago (2017) indicator • Birthplace • Birthplace (broad geographic areas) excluding at SA1 • Years since arrival in New Zealand, for the overseas-born • Ethnic group (grouped total responses) • Six languages (total responses) • Māori descent

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, values of ‘-998’ refer to data not available at SA1 (refer to Birthplace for lower geographic breakdowns), and values of ‘Null’ indicate data not collected.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for individual part 1, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

The NTEM SynthPop project required open data, as per OGL License (v1.0).

The data register:

data_register:
geography_msoa_ew:
description: MSOA boundaries, 2021.
geography: MSOA
region: England and Wales
last accessed: 10/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::middle-layer-super-output-areas-december-2021-boundaries-ew-bsc-v2/about
notes: (BSC) Super generalised (200m) - clipped to the coastline (Mean High Water mark).
path: "MSOA_2021_EW_BSC_V2.gpkg"
source: Open Geography Portal
year: 2021
geography_iz_sc:
description: Proposed IZ boundaries, 2022.
geography: IZ
region: Scotland
last accessed: 19/08/2024
link: https://scotgov.maps.arcgis.com/home/item.html?id=90bf46cbf2254e80820a98d815c8fbcf
notes: Proposed Intermediate Zones 2022 Boundaries - for consultation
path: "Proposed_IZ_2022_Boundaries.zip"
source: "Scotland Census"
year: 2022
geography_oa_ew:
description: OA boundaries, 2021.
geography: OA
region: England and Wales
last accessed: 24/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::output-areas-december-2021-boundaries-ew-bgc-v2/about
notes: (BGC) Generalised (20m) - clipped to the coastline (Mean High Water mark).
path: "boundaries/Output_Areas_2021_EW_BGC_V2.gpkg"
source: Open Geography Portal
year: 2021
geography_lad_2018_gb:
description: LAD boundaries, 2018.
geography: LAD
region: England, Wales and Scotland
last accessed: 19/11/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-december-2018-boundaries-gb-bfc-2/about
notes: This file contains the digital vector boundaries for Local Authority Districts in Great Britain, as at December 2018.
path: "boundaries/LAD_Dec_2018_Boundaries_GB_BFC_2022_544341751432792127.gpkg"
source: Open Geography Portal
year: 2018
geography_msoa_population_weighted_centroids_ew:
description: Population-weighted centroids for MSOA boundaries.
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: "This file contains the digital population weighted centroids for Middle layer Super Output Areas for England and Wales as at 31 December 2021. The centroids were created using Full Resolution, Extent of the Realm boundaries. Contains both Ordnance Survey and ONS Intellectual Property Rights."
path: "boundaries/Middle_Super_Output_Areas_DEC_2021_EW_PWC.gpkg"
source: Office for National Statistics
year: 2021
geography_msoa_2011_2021_ew_lookup_best_fit:
description: Lookup table between 2011 and 2021 MSOA boundaries and 2022 Local Authority Districts (best fit).
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: "A best fit lookup file between Middle layer Super Output Areas (MSOA) as at December 2011 and MSOAs as at December 2021 in England and Wales. The lookup contains all the 2011 MSOAs (7,201) and these are point-in-polygon to the 2021 MSOA full extent boundaries (which contains 7,182 records, so 82 MSOAs are missing from the 2021 MSOAs)."
path: "boundaries/MSOA_(2011)_to_MSOA_(2021)_to_Local_Authority_District_(2022)_Best_Fit_Lookup_for_EW_(V2).csv"
source: Office for National Statistics
year: 2021
geography_msoa_2011_2021_ew_lookup_exact_fit:
description: Lookup table between 2011 and 2021 MSOA boundaries and 2022 Local Authority Districts (exact fit).
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: >
This is an exact fit lookup file between Middle layer Super Output Areas as at December 2011 and Middle layer Super Output Areas as at December 2021 and Local Authority Districts as at December 2022 in England and Wales. This product has been provided with a change indicator field, that define the lookup between 2011 and 2021 MSOA. This field indicates which output areas / super output areas have changed between 2011 and 2021. This version 2 has had some changes to the change indicator field where splits have gone to complexes in under 10 MSOAs. There are four designated categories to describe the changes, and these are as follows:
U - No Change from 2011 to 2021. This means that direct comparisons can be made between these 2011 and 2021 MSOA.
S - Split. This means that the 2011 MSOA has been split into two or more 2021 MSOA. There will be one record for each of the 2021 MSOA that the 2011 MSOA has been split into. This means direct comparisons can be made between estimates for the single 2011 MSOA and the estimates from the aggregated 2021 MSOA.
M - Merged. 2011 MSOA have been merged with another one or more 2011 MSOA to form a single 2021 MSOA. This means direct comparisons can be made between the aggregated 2011 MSOAs’ estimates and the single 2021 MSOA’s estimates.
X - The relationship between 2011 and 2021 MSOA is irregular and fragmented. This has occurred where 2011 MSOA have been redesigned because of local authority district boundary changes, or to improve their social homogeneity. These can’t be easily mapped to equivalent 2021 MSOA like the regular splits (S) and merges (M), and therefore like for like comparisons of estimates for 2011 MSOA and 2021 MSOA are not possible.'
path: "boundaries/MSOA_(2011)_to_MSOA_(2021)_to_Local_Authority_District_(2022)_Lookup_for_England_and_Wales.gpkg"
source: Office for National Statistics
year: 2021
lookup_msoa_2021_region_ew:
description: Lookup between 2021 Middle Layer Super Output Areas (MSOA), built up areas (BUA), local authority districts (LAD) and regions (RGN) (best fit).
geography: MSOA
region: England & Wales
last accessed: 24/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::msoa-2021-to-bua-to-lad-to-region-december-2022-best-fit-lookup-in-ew-v2/about
notes: "A best fit lookup file between Middle layer Super Output Areas (MSOA) as at December 2011 and MSOAs as at December 2021 in England and Wales. The lookup contains all the 2011 MSOAs (7,201) and these are point-in-polygon to the 2021 MSOA full extent boundaries (which contains 7,182 records, so 82 MSOAs are missing from the 2021 MSOAs)."
path: "boundaries/MSOA_(2021)_to_Built-up_Area_to_Local_Authority_District_to_Region_(December_2022)_Lookup_in_England_and_Wales_v2.csv"
source: Office for National Statistics
year: 2021
lookup_oa_2011_oa_2021_ew:
description: Lookup between 2011 Output Areas (OA11) and 2021 Output Areas (OA21).
geography: OA
region: England & Wales
last accessed: 28/08/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::oa-2011-to-oa-2021-to-local-authority-district-2022-exact-fit-lookup-in-ew-v2/about
notes: "This is an exact-fit lookup file between Output Areas as at December 2011 and Output Areas as at December 2021 and Local Authority Districts as at December 2022 in England and Wales."
path: "boundaries/OA11_OA21_LAD22_EW_LU_Exact_fit_V2_7175137222568651779.csv"
source: Office for National Statistics
year: 2021
lookup_oa_2021_msoa_2021_ew:
description: Lookup between Output Areas (OA 2021) and Middle Layer Super Output Areas (MSOA 2021).
geography: OA, MSOA
region: England & Wales
last accessed: 28/08/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::output-area-2021-to-lsoa-to-msoa-to-lad-december-2021-exact-fit-lookup-in-ew-v3/about
notes: "A lookup between Output Areas (OA), Lower layer Super Output Areas (LSOA), Middle layer Super Output Areas (LSOA) and Local Authority Districts (LAD) as at 31 December 2021 in England and Wales."
path: "boundaries/Output_Area_to_Lower_layer_Super_Output_Area_to_Middle_layer_Super_Output_Area_to_Local_Authority_District_(December_2021)_Lookup_in_England_and_Wales_v3.csv"
source: Office for National Statistics
year: 2021
census_households_oa_2021_ew:
description: TS041-oa - Number of Households (output areas).
geography: OA
region: England & Wales
last accessed: 07/08/2024
link: https://www.nomisweb.co.uk/output/census/2021/census2021-ts041.zip
notes: Number of Households (oa).
path: "census_2021/census2021-ts041-oa.csv"
source: Office for National Statistics
year: 2021
ruc_oa_ew:
description: Rural / Urban classification at Output Area (OA) level.
geography: OA
region: England & Wales
last accessed: 07/08/2024
link: https://geoportal.statistics.gov.uk/datasets/53360acabd1e4567bc4b8d35081b36ff/about
notes: "This file provides a rural-urban view of 2011 Output Areas (OA) in England and Wales."
path: "ruc/RUC11_OA11_EW.csv"
source: Office for National Statistics
year: 2021
geography_ntem:
description: NTEM zoning system.
geography: NTEM
region: GB
path: "..."
year: 2021
template_populationsim:
description: Template PopulationSim set up.
geography: MSOA
region: GB
path: "template_populationsim"
source: PopulationSim repo & Arup
year: 2021
nts_persons:
description: Individuals table from the National Travel Survey for the period 2002-2022.
geography: Region
region: England, Wales & Scotland
path: "nts/individual_eul_2002-2022.tab"
nts_households:
description: Households table from the National Travel Survey for

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

A lookup file between 2011 Lower layer Super Output Areas (LSOA) to 2020 Covid Infection Survey Geography in the United Kingdom, as at 1 October 2020. (File size - 5MB) Field Names - LSOA11CD, LSOA11NM, LSOA11NMW, CIS20CD, FIDField Types - Text, Text, Text, Text, NumericField Lengths - 9, 255, 255, 9FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LSOA11_to_CIS20_Lookup_532f33a284be4668b314a5dbc742e653/FeatureServer

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

A lookup file between local authority districts (LAD) and fire and rescue authorities (FRA) in England and Wales as at 31 December 2019. (File Size - 64 KB)Field Names - LAD19CD, LAD19NM, FRA19CD, LAD19NM, FIDField Types - Text, Text, Text, TextField Lengths - 9, 35, 9, 44FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD19_FRA19_EW_LU_0faed6faa8ae448c8cc593fb89711004/FeatureServer