Provides regional identifiers for county based regions of various types. These can be combined with other datasets for visualization, mapping, analyses, and aggregation. These regions include:Metropolitan Statistical Areas (Current): MSAs as defined by US OMB in 2023Metropolitan Statistical Areas (2010s): MSAs as defined by US OMB in 2013Metropolitan Statistical Areas (2000s): MSAs as defined by US OMB in 2003Region: Three broad regions in North Carolina (Eastern, Western, Central)Council of GovernmentsProsperity Zones: NC Department of Commerce Prosperity ZonesNCDOT Divisions: NC Dept. of Transportation DivisionsNCDOT Districts (within Divisions)Metro Regions: Identifies Triangle, Triad, Charlotte, All Other Metros, & Non-MetropolitanUrban/Rural defined by:NC Rural Center (Urban, Regional/Suburban, Rural) - 2020 Census designations2010 Census (Urban = Counties with 50% or more population living in urban areas in 2010)2010 Census Urbanized (Urban = Counties with 50% or more of the population living in urbanized areas in 2010 (50,000+ sized urban area))Municipal Population - State Demographer (Urban = counties with 50% or more of the population living in a municipality as of July 1, 2019)Isserman Urban-Rural Density Typology

This pre-publication document is being prepared for publication. Once published this metadata and document will be superseded and removed by a published URL.

This document describes the systematic approach to vegetation mapping that has been developed by the Office of Environment and Heritage (OEH).

The State Vegetation Map is intended to show the distribution of as many as possible of the approved list of NSW Plant Community Types (PCTs) across NSW in a consistent manner and at a regional level of detail.

Author: Ann Wurst, consultantGrade/Audience: ap human geographyResource type: activitySubject topic(s): regional geography, maps, human geographyRegion: worldStandards: AP Human Geography CED TOPIC 1.7 Regional Analysis LEARNING OBJECTIVE SPS-1.A Describe different ways that geographers define regions. ESSENTIAL KNOWLEDGE SPS-1.A.1 Regions are defined on the basis of one or more unifying characteristics or on patterns of activity. SPS-1.A.2 Types of regions include formal, functional, and perceptual/vernacular. SPS-1.A.3 Regional boundaries are transitional and often contested and overlapping. SPS-1.A.4 Geographers apply regional analysis at local, national, and global scales.Objectives: Students will be able to describe different ways that geographers define regions. Students wll be able to define Regions on the basis of one ormore unifying characteristics or on patterns of activity. Students will be able to identify the types of regions (formal, functional, and perceptual/vernacular.) Students will understand that Geographers apply regional analysis at local, national, and global scales. Summary: A mapping activity that helps students identify and reflect on the regions used in AP Human Geography classes. Students will be expected to answer some culminating questions after creating their map.

SCT application for the management of information relating to the regional mapping of asbestos roofs. The application can only be reached by specifically enabled users. The application contains data relating to the census of asbestos roofs, which also reports the priority of intervention, and an indication of the different types of potential impact: basic, generated and immediately.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Dataset contains framework layers compiled for representation on state reference map, scale 1:1.5 million. Line and polygon features only. Road, rail, waterbody and watercourse themes included. State coastline not included.

Purpose

Can be used as a framework layer for whole of state mapping or for a generalised framework for regional mapping. Not suitable for analysis.

Dataset History

Information was compiled and digitised in generalised form from 1:250 000 scale hard copy maps. The individual CAD files were combined into seamless form and converted to Lambert Conformal Conic projection, standard parallels 29 degrees and 35 degrees S, central meridian 135 degrees E. Subsequently the information was converted to GIS format and re-projected to the state standard LCC projection.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Topography - State Refence Map - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/b6f2d7af-7fbb-4bf5-9051-b725d51b270a.

Regional maps 1: 100 000 issues with administrative limits are derived from the standard edition of regional maps. In particular, the administrative boundaries are presented in greater detail. The topography moves into the background. The sheet cuts of regional maps 1: 100,000 depend on the districts in the state of Brandenburg. A map depicts Berlin with the adjacent areas nationwide. The maps are updated twice a year and reproduced by analogy only on request. Regional maps 1: 100 000 issues with administrative limits are derived from the standard edition of regional maps. In particular, the administrative boundaries are presented in greater detail. The topography moves into the background. The sheet cuts of regional maps 1: 100,000 depend on the districts in the state of Brandenburg. A map depicts Berlin with the adjacent areas nationwide. The maps are updated twice a year and reproduced by analogy only on request. Regional maps 1: 100 000 issues with administrative limits are derived from the standard edition of regional maps. In particular, the administrative boundaries are presented in greater detail. The topography moves into the background. The sheet cuts of regional maps 1: 100,000 depend on the districts in the state of Brandenburg. A map depicts Berlin with the adjacent areas nationwide. The maps are updated twice a year and reproduced by analogy only on request.

The Atlanta Region has grown into a complex combination of county, municipality and jurisdictional boundaries. This map series reflects the various planning areas of the Atlanta Regional Commission and seeks to promote a greater understanding of our rapidly expanding region. Please refer to user notes of each map for explanation of map content and clarification of acronyms and definitions.This static map is for print at 11x17 size. A poster size version is also available.

With the geological regional maps of the Saxon State Office for Environment and Geology, a loose series of geological map editions of different scales begins. In particular, these maps show the geological conditions of selected parts of the country and their geological development in a generally understandable way. The maps are available in paper form.

Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - We developed a coarse-scale and fine-scale vegetation classification and map for Northern, Western, and Interior Alaska including the Cook Inlet Basin. To produce the map we mosaicked—using ArcGIS—18 regional maps developed over the past 1 to 14 years and one map developed 27 years ago. Regional map spatial resolutions ranged from 30 x 30 m pixel or finer for satellite imagery, and 1:63,360 or finer for aerial photography. We converted the pixel size of each satellite image map and aerial photography polygons to a 30 x 30 m pixel resolution raster format. Prior to mosaicking the regional maps, we developed a coarse-scale legend common to all of the maps. We based our legend on a variety of Ducks Unlimited (DU) maps developed with various federal agencies (primarily, the USDI Bureau of Land Management, and USDI Fish and Wildlife Service) that used nearly identical legends and extended across most of Alaska. These maps used a variation of levels III and IV of The Alaska Vegetation Classification (Viereck et al,1992). We continued to refine the legend as we added other regional classifications to the original DU/BLM legend. The other regional mapping efforts included the USDI National Park Service, USDA National Forest Service-State and Private Forestry, LANDFIRE, The Nature Conservancy of Alaska, Audubon Alaska, USDI Fish and Wildlife Service, U.S. Geological Survey and the USDA Natural Resources Conservation Service. We were able to add the additional legends because they were either derived from or directly used some variation of levels III and IV of The Alaska Vegetation Classification (Viereck et al,1992). For the fine-scale legend, we attempted to keep all of the original classes and the level of detail from each regional map used for mosaicking. Some of the regional maps used an ecosystem or landscape classification approach (e.g. National Wetlands Inventory, Ecotypes) and we also retained the landscape detail in the fine-scale classes. We list and describe 34 coarse-scale classes and list 338 fine-scale classes. In addition, as authors produce new regional maps, the Alaska Natural Heritage Program (UAA) will continue to mosaic them into this map.

Downloadable Layers: SPSD Office Locations 2024SPSD MLRA Soil Survey Office Area's 2024SPSD Region Polygons 2024Major Land Resource Areas (MLRA)

The metropolitan Atlanta Region has grown into a complex combination of county, municipality and jurisdictional boundaries. This map series reflects the various planning areas of the Atlanta Regional Commission and seeks to promote a greater understanding of our rapidly expanding region. Please refer to user notes of each map for explanation of map content and clarification of acronyms and definitions.This static map is for print at poster size. 11x17 version also available.

Index of potential impact on the health of the population based on the extent/proximity of the surveyed asbestos roofs. The basic potential impact derives from the application of an algorithm on square cells with a side of 250 m in reference to the single cell, without taking into account the surrounding cells. The potential impact immediately derives from the application of an algorithm on square cells with a side of 250 m taking into account the impact of the surrounding cells on the cell considered. The potential impact generated derives from the application of an algorithm on square cells with a side of 250 m taking into account the influence of the cell on the surrounding ones.

Visuelle Aufbereitung der Bahnstrecken einer Region, meist ein S-Bahnnetz.Letzter Update/Last Update:Dezember 23Visual processing of the railway lines of a region, usually an S-Bahn network.

Web map of transportation infrastructure projects included in the Pikes Peak Area Council of Governments (PPACG) long-range transportation plan (LRTP), the supporting short-range Transportation Improvement Program (TIP), the Pikes Peak Rural Transportation Authority (PPRTA), and projects within the Metropolitan Planning Organization (MPO) boundary that appear in the Colorado Department of Transportation (CDOT) 10-year Plan.

Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, and regional compilations derived from two sources: a Nevada state-wide database (Ponce, 1997), and a public domain dataset (Hildenbrand et al., 2002), (2) a regional magnetic grid derived from the North American magnetic compilation map of Bankey et al. (2002) and, (3) a regional depth-to-basement grid derived from Shaw and Boyd (2018). References: Bankey, V., Cuevas, A., Daniels, D., Finn, C.A., Hernandez, I., Hill, P., Kucks, R., Miles, W., Pilkington, M., Roberts, C., Roest, W., Rystrom, V., Shearer, S., Snyder, S., Sweeney, R.E., Velez, J., Phillips, J.D., and Ravat, D.K.A., 2002, Digital data grids for the magnetic anomaly map of North America, U.S. Geological Survey, Open-File Report 2002-414, https://doi.org/10.3133/ofr02414. Hildenbrand, T.G., Briesacher, A., Flanagan, G., Hinze, W.J., Hittelman, A.M., Keller, G.R., Kucks, R.P., Plouff, D., Roest, W., Seeley, J., Smith, D.A., and Webring, M., 2002, Rationale and operational plan to upgrade the U.S. Gravity Database: U.S. Geological Survey Open-File Report 02-463, 12p. [https://pubs.er.usgs.gov/publication/ofr0246; data downloaded from the Pan-American Center for Earth and Environmental Studies (PACES) gravity database in October 2007 from URL http://paces.geo.utep.edu/research/gravmag/gravmag.shtml]. Ponce, D.A., 1997, Gravity data of Nevada, U.S. Geological Survey Digital Data Series DDS-42. https://pubs.usgs.gov/dds/dds-42/. Shah, A.K, and Boyd, O.S., 2018, Depth to basement and thickness of unconsolidated sediments for the western United States—Initial estimates for layers of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2018–1115, 13 p., https://doi.org/10.3133/ofr20181115.

This PDF map shows the main roads and administrative boundaries for the District of Muskoka.Page Size: 8x11File Size: 0.9 mbUpdated: 14/04/2021

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

The oklahoma Geological Survey will prepare a map of the State at a scale of 1:500,000 to show karst terrains and associated environmental problems in Oklahoma. Surface and near-surface carbonates (limestone and dolomite) comprise about 6% of the surface area of the State, whereas sulphates (gypsum and anhydrite) comprise about 4% of the State. Areas of carbonates and sulphates will be differentiated and mapped separately as two zones: in zone 1 they are 0-6 m deep, and in zone 2 they are 6-30 m deep. Areas underlain by bedded salt (halite) within 300 m of the surface comprise 14.6% of the State, and they will be mapped as zone 3.

This work was undertaken to extend regional mapping in the central and western portions of the A.C.T. and to provide a geological map of the Cotter River Area for use in engineering investigations. The regional geology portion of the Cotter Valley between Gingera and Bull's Head had previously been mapped on a scale of 1/2 mile to the inch, and this map was extended, by the recent survey, northwards to the Territory border and north-easterly to the Murrumbidgee River.