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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.
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TwitterNovember 2025 will be the last update to the Public Safety ArcGIS Pro Style 2.x.Esri has developed a modern set of cartographic symbols for emergency management, fire service, and law enforcement agencies. They relate to damage assessment, debris reporting, preparedness, response activities, etc. These symbols are designed to be used in ArcGIS Pro. The style includes point, line, polygon, and text symbols, as well as colors and color schemes. This style is compatible with the most recent released version of ArcGIS Pro. You can view a PDF of the symbols here.This style is not compatible with ArcGIS Pro 1.x version.3.x version of this style can be downloaded here.
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TwitterA style file containing a collection of realistic 3D street signs and street signals.
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TwitterShell has developed a comprehensive cartographic symbol set to support hydrocarbon exploration and petroleum engineering, and can trace its origins back some 95 years. The so-called ‘Shell Standard Legend’ is now available for sharing with industry and academia. The Legend is available in two separate publications (as PDF’s), one supporting the convention oil=red, and one oil=green, recognizing that these two mapping conventions are in use around the world by different Operators and governments. Each publication consistently uses one of these colour conventions throughout the document and categorizes the symbols according to:Hydrocarbons (such as fields, prospects and shows)Topography (control points, markers, offshore structures, contours, road symbols)Geology (morphology, lithology, faults, chronostratigraphy)Geochemistry (source rock, maturity)Geophysics (seismic stratigraphy)Wells (well symbols by hydrocarbon type and status)Symbology as posted on the International Association of Oil & Gas Producers website. NOTE: Several symbols in both the Green and Red items make use of font characters not available from the standard font set. To use these symbols, you will need to download and install these 22 TrueTypeFont files.
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TwitterThis style contains a generic set of 2D and 3D symbols which are used in the ArcGIS Explorer application. It includes point symbols, line symbols, and polygon symbols. Point symbols are designed from picture markers. Categories include transportation, civic, points of interest, weather, pins, recreation, and marine. Symbol names, categories, tags, and keys are in Italian.
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TwitterThis style contains a generic set of 2D symbols which are similar to the ESRI style. However these symbols are designed to perform better (for display, exporting, and ArcGIS Server). This style includes point symbols, line symbols, polygon symbols, text symbols, colors, and color schemes. Point symbols correspond with characters in the ESRI Default Marker font. Symbol names, categories, tags, and keys are in Italian.
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A view of the Land Use polygon feature class with symbology created by the RER department. This layer includes existing land use that is produced by the research section of the Regulatory and Economic Resources (RER) Departments Planning Division. Existing Land Use is the source of all current land use data updates that could be traced back to 1994, and it is updated weekly based on the most current aerial photography, property appraisal data, thematic layers, development and environmental information.Updated: Weekly-SatThe data was created using:Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.
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TwitterCustom U.S. Fish and Wildlife Service property asset symbology for ArcGIS Pro. This symbology should be used in conjunction with the National Park Service symbology.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.gov
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TwitterThis style comprises 20 distinct hues, plus a white version, of the firefly symbol family for points, lines, and polygons.Points have two flavors of symbols. One is a standard radial opacity decay with a molten white core. The other is a variant with a shimmer effect, if that's what you need.Line symbols are available in solid or dashed. Lines are a stack of colorized semitransparent strokes beneath a white stroke, to create a glow effect.Polygons are also available in two versions. One version applies the glow to the perimeter of the polygon in both inner and outer directions, with a semi-transparent fill. This is effective for non-adjacent polygons. The alternate version only applies an inner glow, to prevent blending and overlapping of adjacent polygons.This is an early version of these symbols and only the points respond to color selection.Learn how to install this style by visiting this salacious blog post.Learn more about Firefly Cartography here.Happy Firefly Mapping! John
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TwitterEsri has developed a modern set of cartographic symbols for emergency management, fire service, and law enforcement agencies. They relate to damage assessment, debris reporting, preparedness, response activities, etc. These symbols are designed to be used in ArcGIS Pro.The style includes point, line, polygon, and text symbols, as well as colors and color schemes. This style is compatible with the most recent released version of ArcGIS Pro. You can view a PDF of the symbols here.This style is not compatible with ArcGIS Pro 1.x and 2.x versions.2.x version of this style can be downloaded here.
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TwitterWhat is it? - a hyperlink to the NAPSG Symbology Website.Purpose - this is a public resource where you can access the symbols and resources.Audience - Public. Link to Resource Page: https://www.napsgfoundation.org/all-resources/symbology-library/Link to Symbol Library: http://napsg-web.s3.amazonaws.com/symbology/index.html#/Free Virtual Training: https://www.napsgfoundation.org/resources/virtual-training-implementing-standard-incident-level-symbology/While national and international standards fulfill many symbol needs, gaps still exist in incident symbols and the supporting frameworks required to achieve a common language for communicating incident information. NAPSG Foundation has been working with the US Department of Homeland Security (DHS) to bridge these gaps by developing a consistent incident symbology framework, guideline, and symbol set for use at the incident level on maps and in GIS applications.You can search and download symbols (PNG and SVG format), Style Sheets for ArcGIS, and True-Type Fonts to deploy the symbols in your own environment using our Symbol Library Tool.
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TwitterThis style consists of two, and only two, symbols. One pin point symbol and one paper polygon symbol.But they can be dynamically colored in the symbology panel. Here's a one-minute how to.
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TwitterThis style contains a set of 2D symbols that re-create the CADD/GIS TriServices standard for military and civilian facilities management. This set corresponds to Spatial Data Standard 2.20. It includes point symbols, line symbols, polygon symbols, and colors. Point symbols correspond with characters in the ESRI SDS 2.00 1 and ESRI SDS 2.00 2 fonts. See also CADD GIS Center SDS 195 style (Spatial Data Standard 1.95) and CADD GIS Center SDS 220 style (Spatial Data Standard 2.20).
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TwitterThe feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and NRM Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Data for each individual unit must be verified and proved consistent with the published MVUMs prior to publication.The Forest Service's Natural Resource Manager (NRM) Infrastructure (Infra) is the agency standard for managing and reporting information about inventory of constructed features and land units as well as the permits sold to the general public and to partners. Go to this url for full metadata description: http://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Road_MVUM.xml
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TwitterAn ArcGIS Mobile style (stylx) file for use with ArcGIS Pro 2.9+ and ArcGIS Runtime 100.13+ to build custom applications that incorporate the MIL-STD-2525D symbol dictionary. This style supports a configuration for modeling locations as ordered anchor points or full geometries.Required Software:ArcGIS Pro 2.9 or higherArcGIS Runtime 100.13 or higherThe style can be published from ArcGIS Pro as a web style for use with the ArcGIS API for JavaScript 4.22 or higher.
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TwitterSometimes a basic solid color for your map's labels and text just isn't going to cut it. Here is an ArcGIS Pro style with light and dark gradient fills and shadow/glow effects that you can apply to map text via the "Text fill symbol" picker in your label pane. Level up those labels! Make them look touchable. Glassy. Shady. Intriguing.Find a how-to here.Save this style, add it to your ArcGIS Pro project, then use it for any text (including labels).**UPDATE**I've added a symbol that makes text look like is being illuminated from below, casting a shadow upwards and behind. Pretty dramatic if you ask me. Here is an example:Happy Mapping! John Nelson
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TwitterEsri has developed a modern set of cartographic symbols for land records, public works, fire service, law enforcement, planning and development, elections, health and human services, fish and wildlife, agriculture, natural resources, and economic development. These symbols are designed to be used in ArcGIS Pro.The style includes point, line, polygon, and text symbols, as well as colors and color schemes. This style is compatible with the most recent released version of ArcGIS Pro. You can view a PDF of the symbols here.This style is not compatible with ArcGIS Pro 1.x version.3.x version of this style can be downloaded here.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Retirement Notice: This item is in mature support as of February 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This layer displays change in pixels of the Sentinel-2 10m Land Use/Land Cover product developed by Esri, Impact Observatory, and Microsoft. Available years to compare with 2021 are 2018, 2019 and 2020. By default, the layer shows all comparisons together, in effect showing what changed 2018-2021. But the layer may be changed to show one of three specific pairs of years, 2018-2021, 2019-2021, or 2020-2021.Showing just one pair of years in ArcGIS Online Map Viewer To show just one pair of years in ArcGIS Online Map viewer, create a filter. 1. Click the filter button. 2. Next, click add expression. 3. In the expression dialogue, specify a pair of years with the ProductName attribute. Use the following example in your expression dialogue to show only places that changed between 2020 and 2021:ProductNameis2020-2021 By default, places that do not change appear as a transparent symbol in ArcGIS Pro. But in ArcGIS Online Map Viewer, a transparent symbol may need to be set for these places after a filter is chosen. To do this: 4. Click the styles button.5. Under unique values click style options. 6. Click the symbol next to No Change at the bottom of the legend. 7. Click the slider next to "enable fill" to turn the symbol off. Showing just one pair of years in ArcGIS Pro To show just one pair of years in ArcGIS Pro, choose one of the layer's processing templates to single out a particular pair of years. The processing template applies a definition query that works in ArcGIS Pro. 1. To choose a processing template, right click the layer in the table of contents for ArcGIS Pro and choose properties. 2. In the dialogue that comes up, choose the tab that says processing templates. 3. On the right where it says processing template, choose the pair of years you would like to display. The processing template will stay applied for any analysis you may want to perform as well. How the change layer was created, combining LULC classes from two yearsImpact Observatory, Esri, and Microsoft used artificial intelligence to classify the world in 10 Land Use/Land Cover (LULC) classes for the years 2017-2021. Mosaics serve the following sets of change rasters in a single global layer: Change between 2018 and 2021Change between 2019 and 2021Change between 2020 and 2021To make this change layer, Esri used an arithmetic operation combining the cells from a source year and 2021 to make a change index value. ((from year * 16) + to year) In the example of the change between 2020 and 2021, the from year (2020) was multiplied by 16, then added to the to year (2021). Then the combined number is served as an index in an 8 bit unsigned mosaic with an attribute table which describes what changed or did not change in that timeframe. Variable mapped: Change in land cover between 2018, 2019, or 2020 and 2021 Data Projection: Universal Transverse Mercator (UTM)Mosaic Projection: WGS84Extent: GlobalSource imagery: Sentinel-2Cell Size: 10m (0.00008983152098239751 degrees)Type: ThematicSource: Esri Inc.Publication date: January 2022 What can you do with this layer?Global LULC maps provide information on conservation planning, food security, and hydrologic modeling, among other things. This dataset can be used to visualize land cover anywhere on Earth. This layer can also be used in analyses that require land cover input. For example, the Zonal Statistics tools allow a user to understand the composition of a specified area by reporting the total estimates for each of the classes. Land Cover processingThis map was produced by a deep learning model trained using over 5 billion hand-labeled Sentinel-2 pixels, sampled from over 20,000 sites distributed across all major biomes of the world. The underlying deep learning model uses 6 bands of Sentinel-2 surface reflectance data: visible blue, green, red, near infrared, and two shortwave infrared bands. To create the final map, the model is run on multiple dates of imagery throughout the year, and the outputs are composited into a final representative map. Processing platformSentinel-2 L2A/B data was accessed via Microsoft’s Planetary Computer and scaled using Microsoft Azure Batch. Class definitions1. WaterAreas where water was predominantly present throughout the year; may not cover areas with sporadic or ephemeral water; contains little to no sparse vegetation, no rock outcrop nor built up features like docks; examples: rivers, ponds, lakes, oceans, flooded salt plains.2. TreesAny significant clustering of tall (~15-m or higher) dense vegetation, typically with a closed or dense canopy; examples: wooded vegetation, clusters of dense tall vegetation within savannas, plantations, swamp or mangroves (dense/tall vegetation with ephemeral water or canopy too thick to detect water underneath).4. Flooded vegetationAreas of any type of vegetation with obvious intermixing of water throughout a majority of the year; seasonally flooded area that is a mix of grass/shrub/trees/bare ground; examples: flooded mangroves, emergent vegetation, rice paddies and other heavily irrigated and inundated agriculture.5. CropsHuman planted/plotted cereals, grasses, and crops not at tree height; examples: corn, wheat, soy, fallow plots of structured land.7. Built AreaHuman made structures; major road and rail networks; large homogenous impervious surfaces including parking structures, office buildings and residential housing; examples: houses, dense villages / towns / cities, paved roads, asphalt.8. Bare groundAreas of rock or soil with very sparse to no vegetation for the entire year; large areas of sand and deserts with no to little vegetation; examples: exposed rock or soil, desert and sand dunes, dry salt flats/pans, dried lake beds, mines.9. Snow/IceLarge homogenous areas of permanent snow or ice, typically only in mountain areas or highest latitudes; examples: glaciers, permanent snowpack, snow fields. 10. CloudsNo land cover information due to persistent cloud cover.11. Rangeland Open areas covered in homogenous grasses with little to no taller vegetation; wild cereals and grasses with no obvious human plotting (i.e., not a plotted field); examples: natural meadows and fields with sparse to no tree cover, open savanna with few to no trees, parks/golf courses/lawns, pastures. Mix of small clusters of plants or single plants dispersed on a landscape that shows exposed soil or rock; scrub-filled clearings within dense forests that are clearly not taller than trees; examples: moderate to sparse cover of bushes, shrubs and tufts of grass, savannas with very sparse grasses, trees or other plants.CitationKarra, Kontgis, et al. “Global land use/land cover with Sentinel-2 and deep learning.” IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021.AcknowledgementsTraining data for this project makes use of the National Geographic Society Dynamic World training dataset, produced for the Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute.For questions please email environment@esri.com
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TwitterView of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.