The ubiMap dataset is comprised of 3,530 map images collected from the Bing image search service (1,730 maps) and Geo-Journal (1,800 maps). Each image has been manually labeled with 22 types of map elements, including their boundary shapes and category properties, resulting in an average of 5.92 elements per map. ubiMap-l is built uopon ubiMap by removing maps that contained only one element, which results a total of 3,515 maps for map layout retrieval test. We first opensourced 703 maps in ubiMap-l that we used for testing our map layout representation learning framework, MapLayNet. Besides 703 map images and their layout label data, embedding of MapLayNet and its baseline model is provided along with the python codes for embedding visualizaiton. The dataset is proposed by the upcoming CaGIS paper "MapLayNet: Map Layout Representation Learning using Weakly Supervised Structure-aware Graph Neural Networks"

This package contains Statewide, Southeast Florida Area and Palm Beach County elements. Links are provided where available, but do note that staff geoprocessed some files to create a clean/more personalized TPA purposed basemap.Statewide elements include:State BoundaryLake Okeechobee WaterMajor Roadways based on FDOT's Functional Classification API The Southeast Florida Area elements include areas outside the Tri-County region for the purposes of map production. Martin County, Palm Beach County/Palm Beach TPA, Broward County, and Miami-Dade County elements may include:Municipal BoundariesWaterways (Lake Okeechobee, Canals, Ocean)Major Roadways based on FDOT's Functional Classification API The Palm Beach County elements are more detailed than the rest to help with both localized and regional map production. Elements include:Roadways - labeling for Collectors and above based on FDOT's Functional Classification APIRoadways - Major Roadways based on FDOT's Functional Classification APIRoadways - Icon files utilizing definition queries to make specified roadway logos (Interstate, Turnpike, State, and US roads) appear as labels (these are noted with “_icon_label”)Roadways - Local Roadways based on the County's Centerline APIMunicipal BoundariesWaterways (Lake Okeechobee, Canals, Ocean)County Boundary

The cladding elements are entries in relation to a regulatory provision (way width, odds, names of neighbouring municipalities.) or geometrical surface, linear or point indicative elements, covering the graphic documents of the PLU, the POS or the Communal Map. They are necessary for the paper edition of the graphic documents that are enforceable. This may be, for example, a hold of a detail plan, a frame, a cartridge, a reminder for a writing, a draw to draw a rating, an equipment identification label

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 layer contains the following map information at a scale of 1.1000 for the municipalities of Navarra: communication routes, buildings, hydrography, themed soil, altimetry, unique buildings, mapped area, infrastructure networks and other place names. The list of municipalities mapped is in the following url: https://idena.navarra.es/downloads/List_of_municipalities_map_1000.pdf

This data set maps and describes the geology of the San Bernardino Wash 7.5 minute quadrangle, Riverside County, southern California. The quadrangle, situated in Joshua Tree National Park in the eastern Transverse Ranges physiographic and structural province, encompasses parts of the northwestern Eagle Mountains, east-central Pinto Basin, and eastern Pinto Mountains. The quadrangle is underlain by a basement terrane comprising metamorphosed Proterozoic strata, Mesozoic plutonic rocks, and Jurassic and Mesozoic and (or) Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Pinto and Eagle Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, a cover of Miocene sedimentary deposits and basalt overlie the erosion surface. A sequence of at least three Quaternary pediments is planed into the north piedmont of the Eagle Mountains, each in turn overlain by successively younger residual and alluvial, surficial deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Pinto and Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults along the range fronts facing Pinto Basin. In and around the San Bernardino Wash quadrangle, faults of the north-northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and some of the faults may offset Pliocene and (or) Pleistocene deposits that accumulated on the oldest pediment. Faults of this system appear to be overlain by Pleistocene deposits that accumulated on younger pediments. East-west trending faults are younger than and perhaps in part coeval with faults of the northwest-trending set. The San Bernardino Wash database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database comprises five coverages: (1) a geologic layer showing the distribution of geologic contacts and units; (2) a structural layer showing the distribution of faults (arcs) and fault ornamentation data (points); (3) a layer showing the distribution of dikes (arcs); a structural point data layer showing (4) bedding and metamorphic foliation attitudes, and (5) cartographic map elements, including unit label leaders and geologic unit annotation. The dataset also includes a scanned topographic base at a scale of 1:24,000. Within the database coverages, geologic contacts , faults, and dikes are represented as lines (arcs and routes), geologic units as areas (polygons and regions), and site-specific data as points. Polygon, region, arc, route, and point attribute tables uniquely identify each geologic datum and link it to descriptive tables that provide more detailed geologic information. The digital database is accompanied by two derivative maps: (1) A portable document file (.pdf) containing a navigable graphic of the geologic map on a 1:24,000 topographic base and (2) a PostScript graphic-file containing the geologic map on a 1:24,000 topographic base. Each of these map products is accompanied by a marginal explanation consisting of a Description of Map Units (DMU), a Correlation of Map Units (CMU), and a key to point and line symbols. The database is further accompanied by three document files: (1) a readme that lists the contents of the database and describes how to access it, (2) a pamphlet file that describes the geology of the quadrangle and (3) this metadata file.

This coverage includes polygons and polygon labels that hold name of tectonic elements from the original tectonic map of Bangladesh.

This coverage includes polygons and polygon labels that hold names of physiographic elements from the original Physiograpic map of Bangladesh.

Here are a few use cases for this project:

1. Automated UI Testing: "Reorganized" can be employed to perform automated UI testing for web and mobile applications, helping developers quickly identify and verify the presence of specific UI elements such as buttons, fields, and images to ensure that each component is functioning properly and meets design specifications.

2. Accessibility Enhancement: Utilizing "Reorganized" can help in improving the accessibility of websites and applications by automatically identifying and labeling different GUI elements, enabling screen reader software to provide more accurate and detailed information for visually impaired users.

3. UI Design Evaluation: "Reorganized" can assist in analyzing and comparing UI designs of different applications to evaluate consistency, user experience and adherence to design principles. By identifying specific elements, it can provide insights to designers on which areas need improvement or adjustments.

4. Content Curation and Classification: The computer vision model can be used to analyze and sort through large collections of web pages or applications to categorize and curate content based on the presence of specific GUI elements like text, images, buttons, etc. This can be helpful in creating repositories, educational material, or designing targeted advertisements.

5.website Migration and Conversion: Using "Reorganized" can significantly speed up the process of migrating or converting websites, especially when transitioning from one content management system to another. By identifying and extracting GUI elements, it becomes easier to map these elements to a new system and ensure a seamless transfer.

This data set maps and describes the geology of the Pinto Mountain 7.5 minute quadrangle, Riverside County, southern California. The quadrangle, situated in Joshua Tree National Park in the eastern Transverse Ranges physiographic and structural province, encompasses parts of the northeastern Hexie Mountains, central Pinto Mountains, and central Pinto Basin. The quadrangle is underlain by a basement terrane comprising Proterozoic metamorphic rocks, Mesozoic plutonic rocks, and Mesozoic and Mesozoic and (or) Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Hexie and Pinto Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, a cover of Miocene sedimentary deposits and basalt overlie the erosion surface. Quaternary and (or) Tertiary lacustrine deposits crop out in the center of Pinto Basin and interfinger laterally with sandstone, conglomerate, and debris flows originating in the Pinto and Hexie Mountains. A sequence of at least three Quaternary pediments is planed into the north piedmonts of the Hexie and Eagle Mountains, each in turn overlain by successively younger residual and alluvial, surficial deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Pinto and Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults along the range fronts facing Pinto Basin. In and around the Pinto Mountain quadrangle, faults of the north-northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and some of the faults may offset Pliocene and (or) Pleistocene deposits that accumulated on the oldest pediment. Faults of this system appear to be overlain by Pleistocene deposits that accumulated on younger pediments. East-west trending faults are younger than and perhaps in part coeval with faults of the northwest-trending set. The Pinto Mountain database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database comprises eight coverages: (1) a geologic layer showing the distribution of geologic contacts and units; (2) a structural layer showing the distribution of faults (arcs) and fault ornamentation data (points); (3) a layer showing the distribution of dikes (arcs); structural point data layers showing (4) bedding attitudes, (5) foliation attitudes, (6) lineations, (7) minor fold axes; and (8) cartographic map elements, including unit label leaders and geologic unit annotation. The dataset also includes a scanned topographic base at a scale of 1:24,000. Within the database coverages, geologic contacts , faults, and dikes are represented as lines (arcs and routes), geologic units as areas (polygons and regions), and site-specific data as points. Polygon, region, arc, route, and point attribute tables uniquely identify each geologic datum and link it to descriptive tables that provide more detailed geologic information. The digital database is accompanied by two derivative maps: (1) A portable document file (.pdf) containing a navigable graphic of the geologic map on a 1:24,000 topographic base and (2) a PostScript graphic-file containing the geologic map on a 1:24,000 topographic base. Each of these map products is accompanied by a marginal explanation consisting of a Description of Map Units (DMU), a Correlation of Map Units (CMU), and a key to point and line symbols. The database is further accompanied by three document files: (1) a readme that lists the contents of the database and describes how to access it, (2) a pamphlet file that describes the geology of the quadrangle, and (3) this metadata file.

This coverage includes polygons and polygon labels that hold name of tectonic elements from the original tectonic map of Bangladesh.

The Gorges du Verdon were ranked in 1990. They have an estimated annual attendance of 700,000 visitors and have an international reputation. Faced with the management problems caused by this attendance, the communities and the State wanted to set up a**Operation Grand Site** approach, led by the Verdon Regional Natural Park since 2002. The framework agreement formalising the commitment of each of the partners (State, Regional Council, Alpes de Haute-Provence and Var departments, 7 municipalities of the Grand Site and Parc du Verdon) was signed in 2010. The goal is to obtain the label Grand Site de France in 2020. The project of Operation Grand Site of the Gorges du Verdon provides for the realisation of several actions to promote, preserve, improve public reception and in particular: * the layout of the gazebos of the Gorges and in particular of certain belvedere interpreters; * the valorisation of the identity heritage of the Gorges; * improving information; * the evolution and deployment of interpretation venues on the Grand Site. The Interpretation Scheme, supported and animated by the Parc du Verdon, should make it possible to define a global strategy of interpretation of the Gorges du Verdon. This action is also part of the Espace Valléen Programme (2015-2020). --- Data are from the final report — interpretation scenario carried out by Cairn Interpretation.

The cladding elements are entries in relation to a regulatory provision (way width, odds, names of neighbouring municipalities.) or geometrical surface, linear or point indicative elements, dressing the graphic documents of the PLU or the POS. They are necessary for the paper edition of the applicable graphic documents. This may be, for example, a hold of a detail plan, a frame, a cartridge, a reminder for a writing, a draw to draw a rating, an equipment identification label

This map is a new construct that incorporates existing geologic maps where prior mappers had adequate ground control, and new interpretations based on drill hole, geophysical, and unpublished data where they did not. The interpretation differs significantly from previous maps to reflect new data and accommodate scale. It portrays our current geologic understanding of the temporal and geographic distribution of units within major Precambrian terranes and of the Phanerozoic strata. The western part of the mapped Precambrian terrane is inferred largely from geophysical maps, anchored locally by drilling. In many places, contacts are drawn between units of the same or similar apparent rock type (and same unit label); these are recognized as geometrically distinct, though geophysically or lithologically similar. Digital files corresponding to this map allow removal of Cretaceous, Paleozoic, and some parts of Mesoproterozoic strata to reveal an interpretation of the underlying Precambrian bedrock.

Note: This publication supersedes the bedrock geologic map elements of MGS Open-File OF10-02. Other components of OF10-02 are still valid, including the state-wide maps of bedrock topography, depth to bedrock, and outcrop locations, and the geochronology shapefiles.

Indicative labels on the plan of the urban planning document for dressing purposes. Cladding elements are writings related to a regulatory provision (track width, rating, name of neighbouring municipalities.) or surface, linear or punctual indicative geometric elements, covering the graphic documents of the PLU or the POS. They are necessary for the paper edition of opposable graphic documents. This can be, for example, a right-of-way of a detail plan, a frame, a cartridge, a reminder for writing, a line to draw a quotation, an identification label of an equipment

The cladding elements are entries in relation to a regulatory provision (way width, odds, names of neighbouring municipalities.) or geometrical surface, linear or point indicative elements, dressing the graphic documents of the PLU or the POS. They are necessary for the paper edition of the applicable graphic documents. This may be, for example, a hold of a detail plan, a frame, a cartridge, a reminder for a writing, a draw to draw a rating, an equipment identification label

The cladding elements are entries in relation to a regulatory provision (way width, odds, names of neighbouring municipalities.) or geometrical surface, linear or point indicative elements, covering the graphic documents of the PLU, the POS or the Communal Map. They are necessary for the paper edition of the graphic documents that are enforceable. This may be, for example, a hold of a detail plan, a frame, a cartridge, a reminder for a writing, a draw to draw a rating, an equipment identification label

Cladding elements are entries related to a regulatory provision (way width, odds, names of neighboring municipalities.) or geometrical surface, linear or point indicative elements, dressing the graphic documents of the PLU or the POS. They are necessary for the paper edition of the applicable graphic documents.This may be, for example, a hold of a detail plan, a frame, a cartridge, a reminder for a writing, a draw to draw a quotation, a label identifying an equipment

This map was last updated March 2014. World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes NASA Blue Marble: Next Generation 500m resolution imagery at small scales (above 1:1,000,000), i-cubed 15m eSAT imagery at medium-to-large scales (down to 1:70,000) for the world, and USGS 15m Landsat imagery for Antarctica. The map features 0.3m resolution imagery in the continental United States and parts of Western Europe from DigitalGlobe. Additional DigitalGlobe sub-meter imagery is featured in many parts of the world, with concentrations in South America, Eastern Europe, India, Japan, the Middle East and Northern Africa, Southern Africa, Australia, and New Zealand. In other parts of the world, 1 meter resolution imagery is available from GeoEye IKONOS, Getmapping, AeroGRID, IGN Spain, and IGP Portugal. Additionally, imagery at different resolutions has been contributed by the GIS User Community. To view this map service now, along with useful reference overlays, click here to open the Imagery with Labels web map.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Imagery or Imagery with Labels from the Basemap control to start browsing the imagery. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.The coverage for Europe includes AeroGRID 1m resolution imagery for Belgium, France (Region Nord-Pas-de-Calais only), Germany, Luxembourg, and The Netherlands and 2m resolution imagery for the Czech Republic, plus 1m resolution imagery for Portugal from the Instituto Geográfico Português.For details on the coverage in this map service, view the list of Contributors for the World Imagery Map.View the coverage map below to learn more about the coverage for the high-resolution imagery:Updated imagery coverage map: Areas updated in the most recent release. World coverage map: Areas with high-resolution imagery throughout the world.Metadata: This service is metadata-enabled. With the Identify tool in ArcMap or the ArcGIS Online Content Viewer, you can see the resolution, collection date, and source of the imagery at the location you click. The metadata applies only to the best available imagery at that location. You may need to zoom in to view the best available imagery.Reference overlays: The World Boundaries and Places service is designed to be drawn on top of this service as a reference overlay. This is what gets drawn on top of the imagery if you choose the Imagery With Labels basemap in any of the ArcGIS clients.The World Transportation service is designed to be drawn on top of this service to provide street labels when you are zoomed in and streets and roads when you are zoomed out.There are three ready to use web maps that use the World Imagery service as their basemap, Imagery, in which both reference layers are turned off, Imagery with Labels, which has World Boundaries and Places turned on but World Transportation turned off, and Imagery with Labels and Transportation, which has both reference layers turned on.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.ArcGIS Desktop use: This service requires ArcGIS 9.3 or more recent.The World Imagery map service is not available as a globe service. If you need a globe service containing imagery use the Prime Imagery (3D) globe service. However note that this is no longer being updated by Esri.Tip: Here are some famous locations as they appear in this map service. The following URLs launch the Imagery With Labels and Transportation web map (which combines this map service with the two reference layers designed for it) and take you to specific locations on the map using location parameters included in the URL.Grand Canyon, Arizona, USAGolden Gate, California, USATaj Mahal, Agra, IndiaVatican CityBronze age white horse, Uffington, UKUluru (Ayres Rock), AustraliaMachu Picchu, Cusco, PeruOkavango Delta, BotswanaScale Range: 1:591,657,528 down to 1:1,128Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100)Tiling Scheme: Web Mercator Auxiliary SphereMap Service Name: World_ImageryArcGIS Desktop/Explorer URL: http://services.arcgisonline.com/arcgis/services ArcGIS Desktop files: MXD LYR (These ready-to-use files contain this service and associated reference overlay services. ArcGIS 9.3 or more recent required).ArcGIS Server Manager and Web ADF URL: http://server.arcgisonline.com/arcgis/services/World_Imagery/MapServerREST URL for ArcGIS Web APIs: http://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServerSOAP API URL: http://services.arcgisonline.com/ArcGIS/services/World_Imagery/MapServer?wsdl

Land and buildings (real estate cataster) is a uniform for the country, regularly updated collection of information about land, buildings and premises, their owners and other natural or legal persons who control these lands, buildings and premises. The cadastral map is an element of the state geodetic and cardographic resource and is carried out at the level of counties. It is conducted in different scales 1:500 to 1:5000 depending on the content density for the whole country. The contents of the cadastral map are the following elements: 1) Limits: States, units of basic three-stage territorial division of the State, cadastral units, divisions, parcels, 2) marking of border points, distinguishing points, the location of which has been determined in the appropriate manner and with the required accuracy, among them — points permanently stabilised in the field, 3) contours of land areas and their designation, 4) contours of soil classes and their designation, 5) contours of buildings, 6) numbers of cadastral parcels, 7) boundaries of statistical areas and their designation, 8) descriptive and informational data, and in particular: a) the names of the units of the main three-stage territorial division of the state, b) the designation of the cadastral unit and the perimeter, c) the names of streets, squares, gala, watercourses, reservoirs and other physiographic objects, d) public road numbers assigned on the basis of regulations on public roads, e) order and registration numbers of buildings. Land and buildings (real estate cataster) is a uniform for the country, regularly updated collection of information about land, buildings and premises, their owners and other natural or legal persons who control these lands, buildings and premises. The cadastral map is an element of the state geodetic and cardographic resource and is carried out at the level of counties. It is conducted in different scales 1:500 to 1:5000 depending on the content density for the whole country. The contents of the cadastral map are the following elements: 1) Limits: States, units of basic three-stage territorial division of the State, cadastral units, divisions, parcels, 2) marking of border points, distinguishing points, the location of which has been determined in the appropriate manner and with the required accuracy, among them — points permanently stabilised in the field, 3) contours of land areas and their designation, 4) contours of soil classes and their designation, 5) contours of buildings, 6) numbers of cadastral parcels, 7) boundaries of statistical areas and their designation, 8) descriptive and informational data, and in particular: a) the names of the units of the main three-stage territorial division of the state, b) the designation of the cadastral unit and the perimeter, c) the names of streets, squares, gala, watercourses, reservoirs and other physiographic objects, d) public road numbers assigned on the basis of regulations on public roads, e) order and registration numbers of buildings.