Borough Boundaries Map Based on Model Borough Study that was updated in 1997. Minor modifications to reflect the incorporation of Petersburg Borough and City and Borough of Wrangell.
MIT Licensehttps://opensource.org/licenses/MIT
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Kenai Peninsula Borough-wide map, general view. Letter size printable map, PDF format.
MIT Licensehttps://opensource.org/licenses/MIT
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Kenai Peninsula Borough-wide map, hillshade view. Letter size printable map, PDF format.
MIT Licensehttps://opensource.org/licenses/MIT
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Kenai Peninsula Borough-wide map, imagery view. Letter size printable map, PDF format.
Index map page boundaries of the Mat-Su Borough Tax Map Page Index. The entire Borough is divided into a series of "base maps" and "index" or "grid maps". Base maps are given names that represent the geographical area represented (similar to USGS quad mapping) and index maps are numbered sequentially within the base map. The result is a base map with a two-character name (for example: ("WA" for Wasilla) and numbered index maps (usually numbered "1" thru "16"). The Mat-Su Borough tax map set is published using these pages.
U.S. Government Workshttps://www.usa.gov/government-works
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Using a combination of public and proprietary historical construction test borings, recent exploration drilling, USGS observation wells, outcrops, and seismic measurements, a series of geospatial overlays for bedrock elevation and overburden thickness were created for the Five Boroughs of New York City, New York. Rasters were interpolated from a point elevation data set and refined using published and interpretive bedrock contours, and interpreted glacial valleys and faults. Contours for bedrock elevation were generated at 100-ft contour intervals and smoothed. This data release includes shapefiles containing the input point elevation features and output contours, and rasters of interpolated bedrock elevation and overburden thickness surfaces.
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth?s surface using the State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Map Gallery for City Council Districts.
For raw GIS Data see City Council GIS Data
MIT Licensehttps://opensource.org/licenses/MIT
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PDF Map of FCC Form 477 provider reported maximum download speeds by census block for January - June 2020. This map seeks to highlight areas that are undeserved by terrestrial broadband (fiber/cable/dsl on the ground), with "underserved" defined as down/up speeds less than 25/3 Mbps.These data represent a static snapshot of provider reported coverage between January 2020 and June 2020. Maps also depict the locations of federally recognized tribes, Alaskan communities, ANCSA and borough boundaries.Broadband coverage is represented using provider reported speeds under the FCC Form 477 the amalgamated broadband speed measurement category based on Form 477 "All Terrestrial Broadband" as a proxy for coverage. This field is unique to the NBAM platform. These maps do not include satellite internet coverage (and may not include microwave coverage through the TERRA network for all connected areas).This map was produced by DCRA using data provided by NTIA through the NBAM platform as part of a joint data sharing agreement undertaken in the year 2021. Maps were produced using the feature layer "NBAM Data by Census Geography v4": https://maps.ntia.gov/arcgis/home/item.html?id=8068e420210542ba8d2b02c1c971fb20Coverage is symbolized using the following legend:No data avalible or no terrestrial coverage: Grey or transparent< 10 Mbps Maximum Reported Download: Red10-25 Mbps Maximum Reported Download: Orange25-50 Mbps Maximum Reported Download: Yellow50-100 Mbps Maximum Reported Download: Light Blue100-1000 Mbps Maximum Reported Download: Dark Blue_Description from layer "NBAM Data by Census Geography v4":This layer is a composite of seven sublayers with adjacent scale ranges: States, Counties, Census Tracts, Census Block Groups, Census Blocks, 100m Hexbins and 500m Hexbins. Each type of geometry contains demographic and internet usage data taken from the following sources: US Census Bureau 2010 Census data (2010) USDA Non-Rural Areas (2013) FCC Form 477 Fixed Broadband Deployment Data (Jan - Jun 2020) Ookla Consumer-Initiated Fixed Wi-Fi Speed Test Results (Jan - Jun 2020) FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data. BroadbandNow Average Minimum Terrestrial Broadband Plan Prices (2020) M-Lab (Jan - Jun 2020)Some data values are unique to the NBAM platform: US Census and USDA Rurality values. For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S. Amalgamated broadband speed measurement categories based on Form 477. These include: 99: All Terrestrial Broadband Plus Satellite 98: All Terrestrial Broadband 97: Cable Modem 96: DSL 95: All Other (Electric Power Line, Other Copper Wireline, Other) Computed differences between FCC Form 477 and Ookla values for each area. These are reflected by six fields containing the difference of maximum, median, and minimum upload and download speed values.The FCC Speed Values method is applied to all speeds from all data sources within the custom-configured Omnibus service pop-up. This includes: Geography: State, County, Tract, Block Group, Block, Hex Bins geographies Data source: all data within the Omnibus, i.e. FCC, Ookla, M-Lab Representation: comparison tables and single speed values
Alaska borough and census area boundaries. Data is based on circa 2013 and earlier GIS Layers with periodic updates being performedSource: Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs ; US Census Bureau
This data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: SOA DCCED DCRA Local Boundary Commission and US Census Bureau Cartographic Boundaries
The USGS Governmental Unit Boundaries service from The National Map (TNM) represents major civil areas for the Nation, including States or Territories, counties (or equivalents), Federal and Native American areas, congressional districts, minor civil divisions, incorporated places (such as cities and towns), and unincorporated places. Boundaries data are useful for understanding the extent of jurisdictional or administrative areas for a wide range of applications, including mapping or managing resources, and responding to natural disasters. Boundaries data also include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking. Boundaries data are acquired from a variety of government sources. The data represents the source data with minimal editing or review by USGS. Please refer to the feature-level metadata for information on the data source. The National Map boundaries data is commonly combined with other data themes, such as elevation, hydrography, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain boundaries data in either Esri File Geodatabase or Shapefile formats. For additional information on the boundaries data model, go to http://nationalmap.gov/boundaries.html.
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth?s surface using the State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map of the London boroughs as at December 2017. The map shows the London boroughs split into inner London and outer London. (File Size - 227 KB).
T Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 he new bespoke borough packages provide a set of maps, data and graphs in order to facilitate the usability of LAEI 2013 data. Modelling and emission data from the LAEI 2013 has been used for NOx, NO2, PM10 and PM2.5. All boroughs can download the following files: Excel Tools LLAQM Source Apportionment, providing emissions split by source at a chosen location (1km2 resolution) - 14/04/16 Update: Please note that the Source Apportionment tool has been updated (v1.1 - providing a breakdown of emissions at Borough level as well). Borough table showing population and percentage of population within areas where NO2 concentrations are greater than 40µg/m3 Greater London Concentration Maps (PDF and JPEG) - Greater London maps showing NO2, NOx, and PMs concentrations for 2013, 2020, 2025 and 2030 - 11/07/16 Update: Please note that maps for future years have now been uploaded. Separately, each borough package includes the following for 2013 and 2020 (PDF and JPEG): NO2_AnnualMean_Conc1 - Borough maps showing NO2 concentrations NO2_AnnualMean_Conc2 - Borough maps showing NO2 concentrations with a basemap NO2_AnnualMean_exc - Borough map showing areas where NO2 concentrations are greater than 40µg/m3 and 60µg/m3 NOx_AnnualMean_Conc1 - Borough maps showing NOx concentrations NOx_AnnualMean_Conc2 - Borough maps showing NOx concentrations with a basemap PM10_AnnualMean_Conc1 - Borough maps showing PM10 concentrations PM10_AnnualMean_Conc2 - Borough maps showing PM10 concentrations with a basemap PM10d_NoDOver50_Conc1 - Borough maps showing PM10 daily mean concentrations over 50µg/m3 PM10d_NoDOver50_Conc2 - Borough maps showing PM10 daily mean concentrations over 50µg/m3 PM2.5_AnnualMean_Conc1 - Borough maps showing PM2.5 concentrations PM2.5_AnnualMean_Conc2 - Borough maps showing PM2.5 concentrations with a basemap Borough dashboard emission summary (table and graph) by source type for all years, for NOx, PM and CO2 - 22/03/16 Update: Please note that the dashboards have been updated to correct an error in PM10 2030 totals for the "Other" emissions category. 11/07/16 Update: Please note that maps for 2020 have now been included in the borough packages.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Analysis of ‘Borough Boundaries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b4b50215-cb8a-485c-ab91-344b49e063fa on 13 February 2022.
--- Dataset description provided by original source is as follows ---
GIS data: Boundaries of Boroughs (water areas excluded).
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
--- Original source retains full ownership of the source dataset ---
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth?s surface using the State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Adopted February, 4, 1988. As Amended May 21, 2018.
MIT Licensehttps://opensource.org/licenses/MIT
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Lot lines delineate the boundary of a lot or lots within a tax parcel. Most lot lines were digitized from record information using bearing and distance (recorded subdivision plats and recorded deeds). Some were scanned from recorded plat mylars. Lot polygons delineate the boundary of a lot or lots within a tax parcel. Currently, these exist only for the City of Seward.
This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Civic Vitality and Governance Organization: Allegheny County Department: Elections Divison; Department of Administrative Services Temporal Coverage: 2015 Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: County staff scanned original court maps into the GIS and rubber-sheeted them to fit the Allegheny County GIS Base Data developed from a flyover in 1992-93. Other: none Related Document(s): Data Dictionary (https://docs.google.com/spreadsheets/d/1HR24LyBNpLwvJZoaGp-tBGRw0HRoXNIef6nU4UQQMMo/edit?usp=sharing) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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These new borough packages provide a set of maps, data and graphs for the updated LAEI 2013. Their aim is to facilitate the usability of LAEI 2013 data. Modelling and emission data from the LAEI 2013 update has been used for NOx, NO2, PM10, PM10d and PM2.5. All boroughs can download the following files: Excel Tools - These tools are currently under construction and will be available very soon. Greater London Concentration Maps LAEI 2013 Update (PDF and JPEG) - Greater London maps showing NO2, NOx, and PMs concentrations for 2013 and 2020. Separately, each borough package includes the following for 2013 and 2020 (PDF and JPEG): postLAEI 2013_NO2_AnnualMean_Conc1 - Borough maps showing NO2 concentrations postLAEI 2013_NO2_AnnualMean_Conc2 - Borough maps showing NO2 concentrations with a basemap postLAEI 2013_NO2_AnnualMean_exc - Borough map showing areas where NO2 concentrations are greater than 40µg/m3 and 60µg/m3 postLAEI 2013_NOx_AnnualMean_Conc1 - Borough maps showing NOx concentrations postLAEI 2013_NOx_AnnualMean_Conc2 - Borough maps showing NOx concentrations with a basemap postLAEI 2013_PM10_AnnualMean_Conc1 - Borough maps showing PM10 concentrations postLAEI 2013_PM10_AnnualMean_Conc2 - Borough maps showing PM10 concentrations with a basemap postLAEI 2013_PM10d_NoDOver50_Conc1 - Borough maps showing PM10 daily mean concentrations over 50µg/m3 postLAEI 2013_PM10d_NoDOver50_Conc2 - Borough maps showing PM10 daily mean concentrations over 50µg/m3 postLAEI 2013_PM2.5_AnnualMean_Conc1 - Borough maps showing PM2.5 concentrations postLAEI 2013_PM2.5_AnnualMean_Conc2 - Borough maps showing PM2.5 concentrations with a basemap Borough dashboard emission summary (table and graph) - please note this is still under construction and will be available very soon.
Borough Boundaries Map Based on Model Borough Study that was updated in 1997. Minor modifications to reflect the incorporation of Petersburg Borough and City and Borough of Wrangell.