The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a new vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using a creative cartographic style emulating the style of blueprint technical drawing. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.

The Community Map (World Edition) web map provides a customized world basemap that is uniquely symbolized and optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and sports amenities like tennis courts, football and baseball field lines, and more. This basemap, included in the ArcGIS Living Atlas of the World, uses the Community vector tile layer. The vector tile layer in this web map 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.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 layer items referenced in this map.

Dataset containing digitized acreage maps showing lease and working interest boundaries of operators and royalty companies across North America.

This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).

Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

incognitolm/USA-State-SQL-Maps dataset hosted on Hugging Face and contributed by the HF Datasets community

Tax Maps and other affiliated layers. The comprehensive point theme incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given tax assessment account. Data for the Parcel point theme are obtained from the State Department of Assessments and Taxation with added data from Maryland Department of Planning. The date the point was most recently published in Planning's data products MdProperty View and FINDER Quantum is contained in the mdpvdate field. The date of the most recent Assessments data linkage to MdProperty View/FINDER Quantum points is contained in the sdatdate field. Accounts deleted between those two dates are no longer represented as points. For more information on the attribute definitions, please see the MdProperty View User's Guide, available for download at https://planning.maryland.gov/Pages/OurProducts/DownloadFiles.aspx . Tax maps, also known as assessments, property or parcel maps, are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property. The primary purpose of these maps is to help State tax assessors locate properties for assessments and taxation purposes. The maps contained herein are NOT to be construed or used as a "legal description". It is not a survey product and not to be used for the design, modification or construction of improvements to real property or for flood plain determination. Planning does not provide any guarantee of accuracy or completeness regarding the map information. Any errors or omissions should be reported to the Maryland Department of Planning Property Mapping Unit. In no event will Planning or the State of Maryland be liable for any damages, including but not limited to loss of data, lost profits, business interruption, loss of business information or any other pecuniary loss that might arise from the use of this map or information it contains. This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov

This map provides a detailed basemap for the world featuring a custom navigation map style. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Navigation Map.

This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file. Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app. Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

In 2025, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. The app was downloaded over ** million times in that year. Waze followed, with *** million downloads. The app, which comes with maps and the possibility to access information on traffic via user reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

CS:GO Maps

## Overview

CS:GO Maps is a dataset for classification tasks - it contains Csgo Maps annotations for 1,424 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 [MIT license](https://creativecommons.org/licenses/MIT).

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.

This is a label annotation file showing contour labels within Great Smoky Mountains National Park.

The Alquist-Priolo Earthquake Fault Zoning Act (1972) and the Seismic Hazards Mapping Act (1990) direct the State Geologist to delineate regulatory "Zones of Required Investigation" to reduce the threat to public health and safety and to minimize the loss of life and property posed by earthquake-triggered ground failures. Cities and counties affected by the zones must regulate certain development "projects" within them. These Acts also require sellers of real property (and their agents) within a mapped hazard zone to disclose at the time of sale that the property lies within such a zone.

Fault Evaluation Reports are available for those areas covered by a Regulatory Map however there are reports available for areas outside the Regulatory map boundary. For a complete set of maps available for purchase on CD please contact the CGS Library.

The Python code provided generates polygonal maps resembling geographical landscapes, where certain areas may represent features like lakes or inaccessible regions. These maps are generated with specified characteristics such as regularity, gap density, and gap scale.

Features:

1. Polygon Generation:

   • The code utilizes the Shapely library to generate polygonal shapes within specified bounding boxes. These polygons serve as the primary representation of the map.

2. Gap Generation:

   • Within the generated polygons, the code introduces gaps to simulate features like lakes or inaccessible areas. These gaps are represented as holes within the central polygon.
3. Forest Generation
   • Within the generated polygons, the code introduces different forest areas. These forest are added like a new Feature inside the GEOJSON.

4. Parameterized Generation:

   • The generation process is parameterized, allowing control over features such as regularity (shape uniformity), gap density (homogeneity of gaps), and gap scale (size of gaps relative to the polygon).

Components:

1. PolygonGenerator Class:

   • Responsible for generating the outer polygon shape and introducing gaps to simulate features.
   • Offers methods to generate individual polygons with specified characteristics.

2. Parameter Ranges and Experimentation:

   • The code includes predefined ranges for regularity, gap density, vertex number, bounding box, forest density and forest scale range in 3 different CSV.
   • It conducts experiments by generating maps with different parameter combinations, offering insights into how these parameters affect the map's appearance.

Usage:

1. Map Generation:

   • Users can instantiate the PolygonGenerator class to generate individual polygons representing maps with specific features.
   • Parameters such as regularity, gap density, and gap scale can be adjusted to customize the map generation process.

2. Experimentation:

   • Users can experiment with different parameter combinations to observe the effects on map generation.
   • This allows for exploration and understanding of how different parameters influence the characteristics of generated maps.

Potential Applications:

• The code can be used in various applications requiring the generation of simulated landscapes, such as in gaming, geographical analysis, or educational tools.
• It provides a flexible and customizable framework for creating maps with specific features, allowing users to tailor the generated maps to their requirements.
• Can be applied to generate maps for drone scanning operations, facilitating optimized area division and efficient data collection.

This Kentucky-specific quadrangle index grid was developed for the KyTopo Map Series. The 60,000' x 40,000' grid tiles are landscape oriented, fit on a standard Arch-D sized sheet, and have newly generated contours based on a KyFromAbove LiDAR-derived DEM. The 60k x 40k grid is a superset of the Kentucky Single Zone based 5k grid that is utilized for organizing and distributing most all of the Commonwealth's raster data holdings. Quadrangle names were developed utilizing a USGS methodology that focuses on the most prominent map features. Clicking on a grid tile shows the names, contour interval, contour index interval, and provides links to download currently available versions of that map.

The City of Ferndale’s Multi-Modal Plan presents a vision on how to improve and expand on opportunities for pedestrians, bicycles and transit users. It is in response to the growing demand for alternative forms of travel and the need to improve safety of those who choose to walk, bike or take transit. The plan looks at how the City may transform its streets into outstanding public spaces that are friendly to pedestrians, integrate facilities for bicyclists and transit users while continuing to serve the needs of motorized traffic. Ferndale’s vibrant downtown, surrounded by close-in residential areas on a tight grid of streets, provides an enviable foundation to build upon. Most residents are within convenient walking and bicycling distance to the majority of destinations in the city. This plan provides the guidance on how to capitalize on that good fortune and make Ferndale an outstanding walkable, bikable and transit friendly community. This map contains multiple layers of maps also available on the Ferndale Moves website, http://ferndalemoves.com/

We present two 159 MHz all-sky maps as product from the all-sky spherical harmonic transit interferometric survey performed with the Engineering Development Array 2 (EDA2). The maps are created with a maximum angular resolution of 3.1 degrees and are systematic bias and noise corrected. These maps have < 0.5 K measured thermal noise and are super sampled on a 0.91-degree pixel grid. One map consists out of purely EDA2 data, covering the sky < 60 degrees in declination, with a global sky component of 247 K added to account for the missing largest scale. The other map covers the whole sky and is prior fit with a rescaled version of the 408 MHz reprocessed desourced and destriped Haslam map (Remazeilles et al. 2015) smoothed to the EDA2 angular resolution. The maps have been created using the m-mode formalism. Along with the sky maps, we also provide a spectral index map calculated relative to the reprocessed Haslam map at 408 MHz and a total intensity noise map.

Overview maps (PDF format) showing the results of our aerial surveys are available for the region (Arizona & New Mexico) and for specific areas. Note that as of 2012 we have stopped producing many of the map products shown below as we switched to a national system. For access to data and the ability to generate maps, please visit the Insect & Disease Survey Explorer hosted by our national office through the Forest Health portal. Resources in this dataset:Resource Title: Insect & Disease Survey Maps and Data. File Name: Web Page, url: https://www.fs.usda.gov/wps/portal/fsinternet/cs/detail/!ut/p/z1/04_Sj9CPykssy0xPLMnMz0vMAfIjo8zijQwgwNHCwN_DI8zPyBcqYKAfjlVBmA9cQRQx-g1wAEci9eNREIXf-HD9KKxWIPuAkBkFuaGhEQaZjgCVqf1Y/dz/d5/L2dBISEvZ0FBIS9nQSEh/?position=Not Yet Determined.Html&pname=Region 3- Insects &navtype=BROWSEBYSUBJECT&ss=1103&pnavid=140000000000000&navid=140110000000000&ttype=detail&cid=stelprdb5228467 Regional Maps and GIS data (AZ and NM)