The arrival of ArcGIS Pro has brought a challenge to ArcMap users. The new software is sufficiently different in architecture and layout that switching from the old to the new is not a simple process. In some ways, Pro is harder to learn for ArcMap users than for new GIS users, because some workflows have to be unlearned, or at least heavily modified. Current ArcMap users are pressed for time, trying to learn the new software while still completing their daily tasks, so a book that teaches Pro from the start is not an efficient method.Switching to ArcGIS Pro from ArcMap aims to quickly transition ArcMap users to ArcGIS Pro. Rather than teaching Pro from the start, as for a novice user, this book focuses on how Pro is different from ArcMap. Covering the most common and important workflows required for most GIS work, it leverages the user’s prior experience to enable a more rapid adjustment to Pro.AUDIENCEProfessional and scholarly; College/higher education; General/trade.AUTHOR BIOMaribeth H. Price, PhD, South Dakota School of Mines and Technology, has been using Esri products since 1991, teaching college GIS since 1995 and writing textbooks utilizing Esri’s software since 2001. She has extensive familiarity with both ArcMap/ArcCatalog and Pro, both as a user and in the classroom, as well as long experience writing about GIS concepts and developing software tutorials. She teaches GIS workshops, having offered more than 100 workshops to over 1,200 participants since 2000.Pub Date: Print: 2/14/2019 Digital: 1/28/2019 Format: PaperbackISBN: Print: 9781589485440 Digital: 9781589485457 Trim: 8 x 10 in.Price: Print: $49.99 USD Digital: $49.99 USD Pages: 172Table of ContentsPreface1 Contemplating the switch to ArcGIS ProBackgroundSystem requirementsLicensingCapabilities of ArcGIS ProWhen should I switch?Time to exploreObjective 1.1: Downloading the data for these exercisesObjective 1.2: Starting ArcGIS Pro, signing in, creating a project, and exploring the interfaceObjective 1.3: Accessing maps and data from ArcGIS OnlineObjective 1.4: Arranging the windows and panesObjective 1.5: Accessing the helpObjective 1.6: Importing a map document2 Unpacking the GUIBackgroundThe ribbon and tabsPanesViewsTime to exploreObjective 2.1: Getting familiar with the Contents paneObjective 2.2: Learning to work with objects and tabsObjective 2.3: Exploring the Catalog pane3 The projectBackgroundWhat is a project?Items stored in a projectPaths in projectsRenaming projectsTime to exploreObjective 3.1: Exploring different elements of a projectObjective 3.2: Accessing properties of projects, maps, and other items4 Navigating and exploring mapsBackgroundExploring maps2D and 3D navigationTime to exploreObjective 4.1: Learning to use the Map toolsObjective 4.2: Exploring 3D scenes and linking views5 Symbolizing mapsBackgroundAccessing the symbol settings for layersAccessing the labeling propertiesSymbolizing rastersTime to exploreObjective 5.1: Modifying single symbolsObjective 5.2: Creating maps from attributesObjective 5.3: Creating labelsObjective 5.4: Managing labelsObjective 5.5: Symbolizing rasters6 GeoprocessingBackgroundWhat’s differentAnalysis buttons and toolsTool licensingTime to exploreObjective 6.1: Getting familiar with the geoprocessing interfaceObjective 6.2: Performing interactive selectionsObjective 6.3: Performing selections based on attributesObjective 6.4: Performing selections based on locationObjective 6.5: Practicing geoprocessing7 TablesBackgroundGeneral table characteristicsJoining and relating tablesMaking chartsTime to exploreObjective 7.1: Managing table viewsObjective 7.2: Creating and managing properties of a chartObjective 7.3: Calculating statistics for tablesObjective 7.4: Calculating and editing in tables8 LayoutsBackgroundLayouts and map framesLayout editing proceduresImporting map documents and templatesTime to exploreObjective 8.1: Creating the maps for the layoutObjective 8.2: Setting up a layout page with map framesObjective 8.3: Setting map frame extent and scaleObjective 8.4: Formatting the map frameObjective 8.5: Creating and formatting map elementsObjective 8.6: Fine-tuning the legendObjective 8.7: Accessing and copying layouts9 Managing dataBackgroundData modelsManaging the geodatabase schemaCreating domainsManaging data from diverse sourcesProject longevityManaging shared data for work groupsTime to exploreObjective 9.1: Creating a project and exporting data to itObjective 9.2: Creating feature classesObjective 9.3: Creating and managing metadataObjective 9.4: Creating fields and domainsObjective 9.5: Modifying the table schemaObjective 9.6: Sharing data using ArcGIS Online10 EditingBackgroundBasic editing functionsCreating featuresModifying existing featuresCreating and editing annotationTime to exploreObjective 10.1: Understanding the editing tools in ArcGIS ProObjective 10.2: Creating pointsObjective 10.3: Creating linesObjective 10.4: Creating polygonsObjective 10.5: Modifying existing featuresObjective 10.6: Creating an annotation feature classObjective 10.7: Editing annotationObjective 10.8: Creating annotation features11 Moving forwardData sourcesIndex

8.1.1_ Annual growth rate of real GDP per capita

The following area shall be a lake trout refuge with boundaries in Lake Huron, grids 307 through 309, the north half (N½) of grid 407, and grids 408 through 410. Regulations: All commercial fishing is prohibited in the above area. Maps for general reference only: refer to text of Consent Decree 2000 for exact locations and provisions.Created a new polygon shapefile in ArcGIS 8.1. Copied selected features (as outlined in the Consent Decree 2000 documentation) of the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer into new shapefile. Created a new polygon shapefile in ArcGIS 8.1. The new pollygon layer was created using the snapping tool in ArcMap. Snapping to the vertices (as outlined in the Consent Decree 2000 documentation) of the MDNR (University of Michigan) Statistical Grid layer, extending the polygon boundaries beyond the preceding polygon we created, and finishing the sketch at the starting point. The new polygon feature was then commbined with the copied polygon generated from the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer using the union tool from the geoprocessing wizard in Arc Map. The desired features were then selected, exported as a new shapefile, and reprojected from Michigan georef to Decimal Degrees to create the final Drummond Island Lake Trout Refuge layer.The boundaries represented on consent decree maps are approximations based on the text contained in the 2000 Consent Decree. For legal descriptions of geographic extent or details pertaining to regulations for these representations refer to the original 2000 Consent Decree Document.

RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode

LANDSURVEY_COUNTY_POLY_IN is a 1:24,000-scale polygon shapefile, originally with a projection of Universal Transverse Mercator (UTM) North American Datum (NAD) 1983 zone 16. After republishing this shapefile by the IGIO, this data is with a projection of WGS84.This shapefile was derived from a predecessor coverage named "IN_LANDSURVEY." IN_LANDSURVEY is a digital representation of land survey features as represented on the USGS 1:24,000 digital raster graphic (DRG) series. ESRI ArcEdit 8.1 and ESRI ArcView 3.2 were used to extract the following shapefiles from IN_LANDSURVEY: LANDSURVEY_COUNTY_LINE_IN, LANDSURVEY_COUNTY_POLY_IN, LANDSURVEY_SECTIONS_LINE_IN, LANDSURVEY_SECTIONS_POLY_IN, LANDSURVEY_STATE_LINE_IN, LANDSURVEY_STATE_POLY_IN, LANDSURVEY_TOWNSHIPS_LINE_IN, and LANDSURVEY_TOWNSHIPS_POLY_IN.

Plan submitted by: redistrictadmin on 12/8/2021 USER DESCRIPTION: In this version based off CD Test Map Version 8.0, CD Test Map Version 8.1 looks to replicate the boundaries of District 22 and District 23 of the Yuma Gold map to District 7 and District 9. CD Test Map Version 8.1 offers a boundary change in Tucson.

USER PLAN OBJECTIVE: N/A

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)

This archive consists of marine seismic reflection profile data collected in four survey areas from southeast of Charleston Harbor to the mouth of the North Edisto River of South Carolina. These data were acquired June 26 - July 1, 1996, aboard the R/V G.K. Gilbert. Included here are data in a variety of formats including binary, American Standard Code for Information Interchange (ASCII), Hyper Text Markup Language (HTML), Portable Document Format (PDF), Rich Text Format (RTF), Graphics Interchange Format (GIF) and Joint Photographic Experts Group (JPEG) images, and shapefiles. Binary data are in Society of Exploration Geophysicists (SEG) SEG-Y format and may be downloaded for further processing or display. Reference maps and GIF images of the profiles may be viewed with a web browser. The Geographic Information Systems (GIS) map documents provided were created with Environmental Systems Research Institute (ESRI) GIS software ArcView 3.2 and 8.1.

For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/g/g196sr/html/g-1-96-sr.meta.html

These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

Annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as the percentage change in the real GDP per capita between two consecutive years. Real GDP per capita is calculated by dividing GDP at constant prices by the population of a country.Map Displays at Scale: 1:12,000,000 to 1:147,000,000. Download detailed metadata about Philippine SDG 8.

This archive consists of two-dimensional marine seismic reflection profile data collected in Timbalier Bay and in the Gulf of Mexico offshore East Timbalier Island, Louisiana. These data were acquired June 30 - July 9 (01SCC01) and August 1 - 18 (01SCC02), 2001, aboard the R/V G.K. Gilbert and a University of New Orleans 21-foot Proline. Included here are data in a variety of formats including binary, American Standard Code for Information Interchange (ASCII), Hyper Text Markup Language (HTML), Portable Document Format (PDF), Rich Text Format (RTF), Graphics Interchange Format (GIF) and Joint Photographic Experts Group (JPEG) images, and shapefiles. Binary data are in Society of Exploration Geophysicists (SEG) SEG-Y format and may be downloaded for further processing or display. Reference maps and GIF images of the profiles may be viewed with a web browser. The Geographic Information Systems (GIS) map documents provided were created with Environmental Systems Research Institute (ESRI) GIS software ArcView 3.2 and 8.1. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/g/g401la/html/g-4-01-la.meta.html and http://walrus.wr.usgs.gov/infobank/g/g501la/html/g-5-01-la.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

This shapefile was derived from a predecessor coverage named "IN_LANDSURVEY." IN_LANDSURVEY is a digital representation of land survey features as represented on the USGS 1:24,000 digital raster graphic (DRG) series. ESRI ArcEdit 8.1 and ESRI ArcView 3.2 were used to extract the following shapefiles from IN_LANDSURVEY: LANDSURVEY_COUNTY_LINE_IN, LANDSURVEY_COUNTY_POLY_IN, LANDSURVEY_SECTIONS_LINE_IN, LANDSURVEY_SECTIONS_POLY_IN, LANDSURVEY_STATE_LINE_IN, LANDSURVEY_STATE_POLY_IN, LANDSURVEY_TOWNSHIPS_LINE_IN, and LANDSURVEY_TOWNSHIPS_POLY_IN.NOTE -- This shapefile is identical to a version named "INDIANA_STATEBDY_24K_IGS_L". This metadata file is a copy of the metadata for "INDIANA_STATEBDY_24K_IGS_L" that has had minor edits. The shapefile and metadata were renamed to conform to a file-naming convention for a project funded outside the IGS.

This dataset contains land use authorization- rights-of-way cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. The minimum data entry requirement for legal descriptions for linear authorizations is to the nearest 40 acre aliquot level (e.g.,NENW). Legal descriptions for non-linear authorizations are as described on the authorizing document. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. This data set contains cases with the dispositions of 'Authorized', 'Pending','Closed', and 'Interim'. Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores. Group 1: Direct PLSS Match. Scores “0”, “1”, “2”, “3” should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS. Group 2: Calculated PLSS Match. Scores “4”, “4.1”, “5”, “6”, “7” and “8” were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS Group 3 – Mapped to Section. Score of “8.1”, “8.2”, “8.3”, “9” and “10” are mapped to the Section for various reasons (refer to log information in data quality field). Group 4- Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not. Group 5 – No NLSDB Geometry, Only Attributes. Scores “11”, “12”, “20”, “21” and “22” do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data. Group 6 – Mapped to County. Scores of “25” map to the County. Group 7 – Improved Geometry. Scores of “100” are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.

This feature layer represents Sustainable Development Goal indicator 8.1.1 'Annual Growth Rate of Real GDP per Capita' for Ireland. The layer was created using County Incomes and Regional GDP data produced by the Central Statistics Office (CSO) in 2014 and NUTS 3 boundary data produced by Ordnance Survey Ireland (OSi). Note that the NUTS 3 boundary refers to the former Regional Authorities established under the NUTS Regulation (Regulation (EU) 1059/2003). These boundaries were subsequently revised in 2016 through Commission Regulation (EU) 2016/2066 amending annexes to Regulation 1059/2003 (more info).

In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and OSi are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 8 which aims to promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.

Add DescThe St. Marys River, east of a line extending from Point Aux Pins, Ontario, to Brush Point, Michigan, downstream to the Detour - Drummond Island ferry docks, including all of Potagannissing Bay from Hay Point (Drummond Island) west to Cherry Island and north to the international boundary. Regulations: All commercial fishing is prohibited in the above area. Maps for general reference only: refer to text of Consent Decree 2000 for exact locations and provisions.Created a new polygon shapefile in ArcGIS 8.1. The new pollygon layer was created using the snapping tool in ArcMap. Starting form a point location outlined in the Consent Decree 2000 documentation and heading in a counter clockwise direction snapping to edges and vertices of the international boudary (as outlined in the Consent Decree 2000 documentation) in the Counties Extended into Great Lakes, extending the polygon boundaries beyond the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer, and finishing the sketch at the starting point. The new polygon feature was then commbined with the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer using the union tool from the geoprocessing wizard in Arc Map. The desired features were then selected, exported as a new shapefile, and reprojected from Michigan georef to Decimal Degrees to create the final Saint Mary's Closure layer.The boundaries represented on consent decree maps are approximations based on the text contained in the 2000 Consent Decree. For legal descriptions of geographic extent or details pertaining to regulations for these representations refer to the original 2000 Consent Decree Document.ription

Attachment regarding request by North Chatham Investments, Inc for a Conditional Use Permit for a Planned Unit Development and Daycare Facility (Williams Corner) within the existing RA-40 zoning district and a B-1 Conditional Use Business District with a Conditional Use Permit for various uses, on approximately 98.5 acres, located off U. S. 15-501 N and SR-1721, Lystra Road, Williams Township.

The area within two (2) miles of the break walls at Rogers City. Restrictions: Harbor closure shall apply.Created a new point shapefile in ArcGIS 8.1. A point was located on the USGS Presque Isle county 1:24,000 DRG as outlined in the Consent Decree 2000 documentation. The point was generated on the nautical light located at the southeast end of the breakwall. A two mile buffer was then generated from the point shapefile using the buffer wizard tool in Arc Map. This buffered point location was then intersected with the National Oceanic and Atmoshperic Administration - Great Lakes Environmental Research Laboratory (NOAA - GLERL) shoreline layer using the intersecting tool from the geoprocessing wizard in Arc Map to create the final Rogers City Harbor Closure layer. The desired features were then reprojected from Michigan georef to Decimal Degrees to create the final Northern Lake Huron Inter- Tribal Fishing Zone layer. The NOAA - GLERL shoreline layer was cleaned by both Great Lakes Commission (GLC) and Lake Huron GIS (MDNR - LHGIS) after completion.The boundaries represented on consent decree maps are approximations based on the text contained in the 2000 Consent Decree. For legal descriptions of geographic extent or details pertaining to regulations for these representations refer to the original 2000 Consent Decree Document.

Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.The level of aggregation is on the emirate level not on the city level.

Indicator 8.1.1The annual growth rate of real GDP per capita.The equation used to calculate the results is:The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:a. Convert annual real GDP in domestic currency at 2010 prices for a country or area to US dollars at 2010 prices using the 2010 exchange rates.b. Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2010 prices.c. Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: [(G(t+1) – G(t))/G(t)] x 100, where G(t+1) is real GDP per capita in 2010 US dollars in year t+1 and G(t) is real GDP per capita in 2010 US dollars in year.Note :GDP Constant (2010 = 100)*Data Source:National Planning Council, National Accounts Bulletin

Indicator: 8.1.1The annual growth rate of real GDP per capita.The equation used to calculate the results is:The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:a. Convert annual real GDP in domestic currency at 2010 prices for a country or area to US dollars at 2010 prices using the 2010 exchange rates.b. Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2010 prices.c. Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: [(G(t+1) – G(t))/G(t)] x 100, where G(t+1) is real GDP per capita in 2010 US dollars in year t+1 and G(t) is real GDP per capita in 2010 US dollars in year t.Note : GDP Constant (2010 = 100)*Data Source:Planning & Statistics Authority, National Accounts Bulletin

This dataset contains coal cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. This data set contains cases with the dispositions of 'Authorized', 'Pending','Closed', and 'Interim'.Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores. Group 1: Direct PLSS Match. Scores “0”, “1”, “2”, “3” should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS. Group 2: Calculated PLSS Match. Scores “4”, “4.1”, “5”, “6”, “7” and “8” were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS Group 3 – Mapped to Section. Score of “8.1”, “8.2”, “8.3”, “9” and “10” are mapped to the Section for various reasons (refer to log information in data quality field). Group 4- Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not. Group 5 – No NLSDB Geometry, Only Attributes. Scores “11”, “12”, “20”, “21” and “22” do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data. Group 6 – Mapped to County. Scores of “25” map to the County. Group 7 – Improved Geometry. Scores of “100” are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.