The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

The Human Geography Dark Map (World Edition) web map provides a detailed world basemap with a dark monochromatic style and content adjusted to support human geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Dark Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Dark Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Dark Base, a simple basemap consisting of land areas in a very dark gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in A Dark Version of the Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

This vector tile layer presents the Human Geography Dark Label style (World Edition) and provides a detailed vector basemap for the world with a dark monochromatic style and content adjusted to support Human Geography information. The map includes labels for highways, major roads, minor roads, railways, water features, building footprints, and administrative boundaries. It is designed to be used with the Human Geography Dark Detail and Human Geography Dark Base layers. Learn more about this basemap's design from the cartographic designer in this blog. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Human Geography Dark Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

As one of iCorridor applications, MEPDG web map provides site specific traffic data (Level 1) such as AADTT, vehicle class distribution, number of axle per truck, and axle load distribution for AASHTOWare Pavement ME Design. This program can generate the following three data files for any specific LHRS sections: Traffic data input file in XML format that contains the AADTT, vehicle class distribution, axle per truck, and axle spacing & configuration. Axle load spectrum file in ALF format that contains the axle load spectrum tables of single, tandem, tridem and quad axle types. A summary file in spreadsheet format that contains the above traffic data. The above XMF and ALF files can be directly input into AASHTOWare Pavement ME Design to run the analysis. If traffic data is insufficient within the LHRS section, the tables for Southern or Northern Ontario will be generated.NON-DIRECTIONAL option will provide an overall AADT and AADTT of the selected LHRS section in both directions. The pavement designer should enter the corresponding percent split of traffic volume for the design direction (typical 50%) to the ‘Percent trucks in design direction’ field. DIRECTIONAL option will provide the AADT and AADTT of the specific direction of the selected LHRS section, and the designer requires to enter 100% to the ‘Percent trucks in design direction’ field. Note that the designer requires to zoom in very close to the map in order to identify which direction to be chosen. Under rare circumstances should the designer require to select this option. If necessary, the data for AADT and AADTT as provided in iCorridor shall be overridden by the latest data provided by other sources, and the number of lanes at the design section should be verified with the designer or owner

The most important product information for electrical products needed by designers, contractors and developers has been identified and defined based on the standards used in the field.

In the future, the specification will enable high-quality plans and make the work of the entire supply chain more efficient, as designers, contractors and developers will easily find products that meet the criteria.

Next, the software used by the industry must be developed so that the product information identified in the project - available through the Sähkönumerot.fi service - can be utilised in a variety of ways in design, documents, modelling and contract procurement.

The aim is that product information produced in a uniform digital format can be efficiently utilised in the future, from the project plan to the handover of the building, and further as a tool for technical maintenance and servicing.

The proposal made by the expert group has focused on the main product groups of electrification and listed their most relevant product information needs in accordance with the Building Services Standard 2017, the BMEcat file format and the ETIM standards.

The Enhanced Contrast Map (World Edition) web map provides a detailed vector basemap for the world symbolized using enhanced contrast and a color-vision-deficient-safe palette. It is designed for use as part of a presentation that aims to meet the WCAG (Web Content Accessibility Guidelines) AA standard, and US Government Section 508 compliance. The base layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, and building footprints. The reference layer includes all labels and administrative boundary lines. Label size has been increased where possible, but not to the point where it conceals the map detail. The 'Ubuntu' font is used throughout, to be clear and legible while maintaining some character.This basemap, included in the ArcGIS Living Atlas of the World, uses the Enhanced Contrast Reference and Enhanced Contrast Base vector tile layers.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Working with Enhanced Contrast basemaps to improve accessibility.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

In this research, we present the Deep Learning architecture encoder/fully-connected for estimate optimal desings WLANs in indoor scenarios. This architecture was implemented for WLAN structures consisting of 1, 2, 3, 4, and 5 access points, with the capability to perform the Balanced k-means algortihm, but in a fast manner.

General Dataset Structure

A major initial difficulty for starting the research was the lack of data, in this case, indoor scenario floor plans, users posisitons and optimal designs for training the architecture. Therefore, it was necessary to create an appropriate database that would facilitate the respective trainings. The dataset was created in base the Balanced k-means algortihm. This implementation was carried out in the MATLAB software WLANs-optimal-designs-methodology.

Thus, this research provides a dataset that can be used for training multiple Deep Learning architectures and can facilitate future investigations into similar problems.

We show a dataset composed by optimal designs for the 5GHz band WiFi in indoor scenarios: it has 102 indoor constructions plans and around 20 users distributions per plan floor as image and APs positions per case as coordinates. These distributions are random and several WLAN's structures: 1 to 5 access points.

The above explain that we got a total of 61000 RME and CME, this presents that is a model without interference between channels.

The pictures have a depth of 8 bits and size of 256pixels X 256pixels equivalents to indoor constructions of 20 X 20 m². These ones make reference to offices's spaces at general or classroom.

Obtained Models

To evaluate the obtained models, the dataset consisting of floor plans 911 to 102 can be used, with available user distributions for each case of APs configurations as a test set, or other new images can be used.

To manipulate the codes better, click here in the repository.

The U.S. Geological Survey and the University of Massachusetts at Amherst (UMass Amherst), in cooperation with the Massachusetts Department of Environmental Protection (MassDEP), began a series of studies in 2019 to develop a web-based statewide hydraulic modeling tool to provide preliminary culvert designs to support stream crossing replacement projects in Massachusetts. This Web Map Service (WMS) has been developed to query data from the hydraulic models at select stream crossing locations using the StreamStats web application for Massachusetts. The WMS contains stream crossing point locations with hydrology and hydraulic data tables and associated watershed polygons. These stream crossing locations were derived from the North Atlantic Aquatic Connectivity Collaborative data center (NAACC Data Center). Preliminary culvert designs for three-sided box, conspan arch, and a pipe culvert have been modeled using the U.S. Army Corps of Engineer’s Hydrologic Engineering Center’s River Analysis System (HEC-RAS) software with cross-sectional and channel geometry data derived from high-resolution light detection and ranging (lidar) Digital Elevation Models (DEM). The WMS layer provides the ability to generate reports in the StreamStats web application for Massachusetts at the stream crossing locations for site _location information, preliminary culvert designs, flood flows, bankfull channel geometry, aquatic habitat and stream connectivity restoration potential, basin characteristics, and other select information.

A Web Map of Satellite Imagery taken from a variety of sources. Credit goes to Maxar, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community for the provision of the imagery.This web map contains the World Imagery (Firefly) layer which presents an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers. This map is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.

InteriorNet is a RGB-D for large scale interior scene understanding and mapping. The dataset contains 20M images created by pipeline:

(A) the authors collected around 1 million CAD models provided by world-leading furniture manufacturers. (B) based on those models, around 1,100 professional designers create around 22 million interior layouts. Most of such layouts have been used in real-world decorations. (C) For each layout, authors generate a number of configurations to represent different random lightings and simulation of scene change over time in daily life. (D) Authors provide an interactive simulator (ViSim) to help for creating ground truth IMU, events, as well as monocular or stereo camera trajectories including hand-drawn, random walking and neural network based realistic trajectory. (E) All supported image sequences and ground truth.

Silencio’s Street Noise-Level Dataset provides urban planners, municipalities, and infrastructure designers with a uniquely accurate and actionable understanding of real-world acoustic environments. Built from over 35 billion datapoints collected globally via our mobile app and enhanced with AI-powered interpolation, this dataset delivers hyper-local average noise levels (dBA) across streets, neighborhoods, and venues in over 200 countries.

The images are designed to support critical use-cases such as city planning, public health assessments, mobility optimization, and sustainable infrastructure development. Unlike traditional models based on purely simulated data, Silencio combines real measurements with AI-driven predictions to produce the most reliable and granular noise-level insights available.

In addition to objective acoustic data, Silencio also provides access to the world’s largest noise complaint database, offering urban planners valuable context through community-reported issues, enabling more people-centered design and policy decisions.

We offer on-demand delivery of noise-level maps for entire cities, regions, neighborhoods, or even specific streets, available in multiple formats: • CSV exports • S3 bucket delivery • High-resolution images, suitable for GIS integration, urban planning reports, visualizations, and public consultations.

The dataset is available as both historical and continuously updated records, making it suitable for monitoring trends and performing impact assessments. We are also actively developing an API and are open to discussions for custom integrations, early API access, or tailored formats based on client needs.

All data is fully anonymized, GDPR-compliant, and ready to be used responsibly in public or private sector urban development initiatives.

The Fluence of Intangible Cultural Heritage Items with Different Sensory Stimuli on the Quantity and Quality of Generative Designs.

This map features an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers. This map is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention. The map also includes a reference layer.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.

This map features an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers. This map uses the World Imagery (Firefly) layer and is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.

This map features the Firefly basemap (designed to be used as a neutral imagery basemap, with de-saturated colors, useful for overlaying other brightly styled layers) with a place reference layer derived from the Human Geography Basemap. This Firefly basemap with labels is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.Happy Firefly Mapping! John Nelson

Plan submitted by: RyanA1084 on 10/7/2021 USER DESCRIPTION: Map of statewide congressional districts, developed with a focus on CD2. All populations have been approximately balanced and districts have made competitive where possible. Unlike the Grid Map, CD2 on this map does not go into Cochise County, which has unique issues related to the Mexican border and military bases that distinguish it from the interests of the rest of CD2. This map designs CD2 to include as many tribal communities as possible. This results in a deviation of -3% in population in CD2, +2% in CD6, and +1% in CD9. USER PLAN OBJECTIVE: Map of statewide congressional districts, developed with a focus on CD2. All populations have been approximately balanced and districts have made competitive where possible. Unlike the Grid Map, CD2 on this map does not go into Cochise County, which has unique issues related to the Mexican border and military bases that distinguish it from the interests of the rest of CD2. This map designs CD2 to include as many tribal communities as possible. This results in a deviation of -3% in population in CD2, +2% in CD6, and +1% in CD9.