Use the Media Map template to maximize the potential of a map with map navigation tools, time animation, and swipe. Display and animate time-enabled data to highlight changes over time. Set the option to disable scroll and configure pop-ups to optimize the app for embedding, even in a small web page space. Enable the export tool to allow users to save the map to a file for export. Examples: Support a map with descriptive text by including an information panel with a title and description, or a splash screen to help orient your audience and communicate your message. Provide an app with common map tools, including a legend, layer list, basemap toggle, overview map, swipe, and time slider. Allow app users to choose between two basemaps to explore different perspectives. Data requirements The Media Map template has no data requirements. Key app capabilities Time - Provide a configurable time slider that animates changes in data over time. The map must be time enabled. Swipe tool - Compares two layers in the map by viewing them simultaneously. Hover pop-ups - Provide users quick access to attribute information that appears when hovering over a feature in the map. Locator map - Display an inset map with the app's map area in the context of a broader area. Layer list - Display a list of layers with options to turn visibility off and on in the map or scene. This setting also allows opening a layer's attribute table, which includes an option for users to export their records as a .csv file. Bookmarks - Allow users to zoom and pan to a collection of preset extents that are saved in the map. Export - Capture an image (PDF, JPG, or PNG) from the app that a user can save. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

ADMMR map collection: Geologic Map Legend; 36 x 22 in.

MapLegendExtraction

This dataset contains high-resolution geological maps annotated with the bounding boxes of their embedded map legends, along with structured JSON representations of legend content. Designed for training models in legend detection, legend parsing, and map understanding.

Application for search and view legend of Geological maps at a scale of 1 : 50,000 (GEOČR50).

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.

WQI Map Legend for the Water Quality Index Dashboard. This legend was created in an ArcGIS Pro layout, then captured as a JPG screenshot.

League Of Legends Map Detection

## Overview

League Of Legends Map Detection is a dataset for object detection tasks - it contains Test annotations for 8,791 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

We compared the ability of two legend designs on a soil-landscape map to efficiently and effectively support map reading tasks with the goal of better understanding how the design choices affect user performance. Developing such knowledge is essential to design effective interfaces for digital earth systems. One of the two legends contained an alphabetical ordering of categories, while the other used a perceptual grouping based on the Munsell color space. We tested the two legends for 4 tasks with 20 experts (in geography-related domains). We analyzed traditional usability metrics and participants’ eye movements to identify the possible reasons behind their success and failure in the experimental tasks. Surprisingly, an overwhelming majority of the participants failed to arrive at the correct responses for two of the four tasks, irrespective of the legend design. Furthermore, participants’ prior knowledge of soils and map interpretation abilities led to interesting performance differences between the two legend types. We discuss how participant background might have played a role in performance and why some tasks were particularly hard to solve despite participants’ relatively high levels of experience in map reading. Based on our observations, we caution soil cartographers to be aware of the perceptual complexity of soil-landscape maps.

Geological map legend, North and North-East Greenland, 1:250 000

Application for search items of geological map legend 1 : 25,000.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Legends is a Point FeatureClass representing road legends in Cupertino. Legends are markings on the road like crosswalks or sharrows. This layer contains asset IDs that can be used to look up work orders It is primarily used within Cityworks to maintain an inventory of legends throughout the City of Cupertino. The layer is updated as needed by the GIS division and City of Cupertino field staff. Legends has the following fields:
OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none

AssetID: Cupertino maintained GIS primary key type: String, length: 20, domain: noneGlobalID:Unique identifier automatically generated for features in enterprise databasetype: GlobalID, length: 38, domain: none

Location: Further description of the location type: String, length: 50, domain: none

Status: The active or construction status of the asset in the field type: String, length: 20, domain: pwStatus domain values:['Abandoned', 'Proposed', 'Auction', 'Denied', 'Active', 'Removed', 'Not Connected']

OwnedBy: Organization which owns the asset type: String, length: 50, domain: shdOwnedBy domain values:['Cupertino', 'San Jose Water', 'CalTrans', 'PGE', 'Los Altos', 'Santa Clara', 'Private HOA', 'Saratoga', 'Other Public', 'Santa Clara County', 'San Jose', 'Santa Clara Valley Water District', 'Private', 'California Water Service', 'State Parks', 'Sunnyvale', 'Cupertino Sanitary District', 'CWA']

MaintainedBy: Organization who is responsible for maintenance of asset type: String, length: 50, domain: shdOwnedBy domain values:['Cupertino', 'San Jose Water', 'CalTrans', 'PGE', 'Los Altos', 'Santa Clara', 'Private HOA', 'Saratoga', 'Other Public', 'Santa Clara County', 'San Jose', 'Santa Clara Valley Water District', 'Private', 'California Water Service', 'State Parks', 'Sunnyvale', 'Cupertino Sanitary District', 'CWA']

AsbuiltDate: The install date listed on the construction plans type: Date, length: 8, domain: none

InstallDate: The date of the last maintenance work done on this asset type: Date, length: 8, domain: none DataSourceThe methodology used to digitize the datatype: string, length: 100, domain: DataSourcedomain values:['Approximated Historical Source', 'Cogo from Plans', 'Digitized Landbase as Reference', 'Digitized Ortho as Reference', 'Digitized Plan as Reference', 'GPS SubMeter', 'GPS SubFoot', "iStreetView', 'Need Verification', 'Unknown Source', 'Legacy WO System', 'Field Verified']

Rotation: Field used for assigning rotation degree in Maplex Labeling Engine type: Double, length: 8, domain: none

LegendType: The type of traffic control legend item type: String, length: 30, domain: trafLegendType domain values:['Rail Xing', 'Slow', 'Arrow Right Thru', 'Hump', 'Arrow U Turn', 'Parking T', 'Bike Lane', 'Stop Ahead', 'Only', 'Sharrows with Dashed Lines', 'Arrow Left Right Turn', '24 Inch Piano Key', 'Highway Shield', 'North', 'Buses Only', 'Arrow Straight Left Turn', 'Handicap', 'Parking Angle', 'Crosshatching', 'Stop', 'No Left Turn', '40', 'Bike Box', 'Shark Tooth', 'Arrow All Way', 'Arrow Thru', 'Curb', 'U Turn Only', 'Arrow Right', 'Arrow Straight Right Turn', 'School', 'Limit Line', 'Wait Here', '25', 'Arrow Lane Reduction', 'Van Accessible', 'Signal Ahead', 'Bike Loop', 'Ped Xing', 'Yield', '12 Inch Bar', 'Island Tips', 'Arrow Left', 'South', '24 Inch Limit Line', 'Arrow Left Thru', 'Sharrows', 'OK', 'Walking Man', 'Bump', '30', '35', 'Slow School Xing', 'Bike Lane Factory Assembled', '12 Inch Piano Key', 'Keep Clear', 'Chevron', 'Loading Zone']

LegendFunction: The function of the traffic control legend item type: String, length: 50, domain: trafLegendFunction domain values:['Crosswalk']

Material: Material of the legend item type: String, length: 30, domain: trafMarkingMaterial domain values:['Extruded ThermalPlastic', 'Surface Coating', 'Paint', 'Preform ThermalPlastic', 'Tape', 'RPM']

Color: Color associated with the legend item type: String, length: 10, domain: shdColor domain values:['Blue', 'White', 'Green', 'Yellow', 'Red']

LegendSize: The size of the traffic control legend item type: String, length: 10, domain: trafLegendSize domain values:['Metric', 'Thermo', 'Standard']

CalTransDetail: Field containing the Caltrans code for the legend type: String, length: 10, domain: none

NumberParkingSpaces: Number of parking spaces associated with the legend type: SmallInteger, length: 2, domain: none

CurbFootage: The amount of curb covered by the legend - in feet type: Double, length: 8, domain: none

ParkingFootage: The amount of parking covered by the legend - in feet type: Double, length: 8, domain: none

IsSchoolRelated: Field indicating whether or not the legend is school related type: String, length: 4, domain: shdBooleanYesNo domain values:['Yes', 'No']

Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none

RefreshDate: The date the data was refreshed type: Date, length: 8, domain: none

Data derived from the ATKIS Datenbestand:Legende for cascade

Danville Transit provides bus services to help residents and visitors travel around the city and surrounding areas. The primary role of Danville Transit is to offer affordable and reliable transportation for individuals who may not have access to private vehicles or prefer not to drive. The Danville Transit System map provides a visual representation of the routes, bus stops, and major transfer points for public transportation in the city of Danville, Virginia.

In order to use the standard color legend for Romanian soil type maps in the ESRI ArcMap-10 electronic format, a dataset consisting a shapefile set (.dbf, .shp, .shx, .sbn, and .sbx files), four different .lyr files, and three different .style files have been prepared (ESRI, 2016). The shapefile set is not a “real” georeferenced layer/coverage; it is designed only to handle all the instants of soil types from the standard legend. This legend contains 67 standard items: 63 proper colors (different color hues, each of them having, generally, 2 - 4 degrees of lightness and/or chroma, four shades of grey, and white color), and four hatching patterns on white background (ESRI, 2016). The “color difference DE*ab” between any two legend colors, calculated with the color perceptually-uniform model CIELAB , is greater than 10 units, thus ensuring acceptably-distinguishable colors in the legend. The 67 standard items are assigned to 60 main soils existing in Romania, four main nonsoils, and three special cases of unsurveyed land. The soils are specified in terms of the current Romanian system of soil taxonomy, SRTS-2012+, and of the international soil classification system WRB-2014. The four different .lyr files presented here are: legend_soilcode_srts_wrb.lyr, legend_soilcode_wrb.lyr, legend_colourcode_srts_wrb.lyr, and legend_colourcode_wrb.lyr. The first two of them are built using as value field the ‘Soil_codes’ field, and as labels (explanation texts) the ‘Soil_name’ field (storing the soil types according to SRTS/WRB classification), respectively, the ‘WRB’ field (the soil type according to WRB classification), while the last two .lyr files are built using as value field the ‘colour_code’ field (storing the color codes) and as labels the soil name in SRTS and WRB, respectively, in WRB classification. In order to exemplify how the legend is displayed, two .jpg files are also presented: legend_soil_srts_wrb.jpg and legend_colour_wrb.jpg. The first displays the legend (symbols and labels) according to the SRTS classification order, the second according to the WRB classification. The three different .style files presented here are: soil_symbols.style, wrb_codes.style, and colour_codes.style. They use as name the soil acronym in SRTS classification, soil acronym in WRB classification, and, respectively, the color code.

Soil Taxonomic Units in the map legend are named with the following convention: the four first letters abbreviate the taxon up to Subgroup level, a number differentiate among similar Subgroups, and the last two characters are linked to a lithostratigraphic unit. If defined, series are shown between brackets (Information source: Gómez-Miguel et al. 2015). {"references": ["G\u00f3mez-Miguel V, Sot\u00e9s V (2015) Zonificaci\u00f3n del Terroir: Estudio de Suelos y Ordenaci\u00f3n del Cultivo de la Vid en la DO Campo de Borja (Zaragoza). Universidad Polit\u00e9cnica de Madrid (UPM), Madrid"]}

This dataset contains a Questionnaire used to evaluate the quality of the Romanian Standard of colors for soil type map legends (StdCol) by map users and map designers. The Standard of colors resulted from the application of the specific method proposed by authors for developing reliably-distinguishable color schemes for legends of natural resource taxonomy-based maps. It was applied, in its turn, in developing the Dominant Soil Map of Romania at the 1:700,000 scale (DSM700).

The Questionnaire contains the description of the Standard of colors, the items whose readability are to be evaluated (the color pairs of the Standard, the Standard as a whole, and two map excerpts), the guidelines of evaluation, and the requested general information regarding the evaluator.

A table that presents the test/evaluation data that were obtained from 46 evaluators is given.

A legend of a soil map, providing Vietnamese-English translations for different soil types.

Nevada Bureau of Mines and Geology Map 1Cg Carson city Area; A 1:24,000 scale Geology of the Genoa 7.5' Quadrangle, Douglas County. Detailed geologic mapping by Robert C. Pease in 1980. Mapping in part based on McKinney, R. F. (1975) Environmental geology of eastern Carson City, Nevada: University of Nevada, Reno, unpublished M. S. Thesis. Geologic Map of the Genoa 7.5' Quadrangle in Douglas County, Nevada, with description of 26 units. The GIS work was in support of the U. S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for the printed geologic map. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross-sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. Base map: U. S. Geological Survey Genoa 7.5-minuts quadrangle, 1974. To download this map and associated GIS zipped data-set, please see the links provided.

1:24,000 scale Geologic Map of the Crater Flat Area, Nevada. Detailed geologic mapping by James E. Faulds, John W. Bell, Daniel L. Feuerbach, and Alan R. Ramelli in 1994. Map includes description of 42 geologic units. The GIS work was in support of the U. S. Geological Survey COGEOMAP program. The Geodatabase specifies feature datasets and feature classes, together with feature attributes, subtypes and domains, suitable for the printed geologic map. In addition to basic geology (lithology, contacts and faults, etc.), the maps may include metamorphic overprints, cross-sections, and explanatory legend-graphics such as correlation charts, used to supplement columnar legends. This geologic map generally includes previously unpublished data obtained by the authors. However the mapping of Pliocene basalts by Crowe and others (1983) and Paleozoic-Proterozoic rocks by Monsen and others (1992) was incorporated into the southern part of the map area. Partial financial support for field work and map preparation was provided by the Nevada Agency of Nuclear Projects through the Center for Volcanic and Tectonic Studies, University of Nevada, Las Vegas; the Center for Neotectonic Studies, University of Nevada, Reno; and NSF grant EAR9120383 (awarded to Faulds). Base map: U. S. Geological Survey Crater Flat 7.5-minute Quadrangle, 1986. To download the map resource and associated report, and GIS zipped data sets, please see the links provided.