When you build with TomTom Maps APIs and map data sets, you build with a partner that combines three decades of mapping experience with the speed and soul of a start-up. We’re proud of our roots, and we never stop looking ahead – working together with you to bring the best, freshest map data and tech to people all over the world. When change happens in the real world, our transactional mapmaking ecosystem allows us to detect, verify and deliver it to the map fast – ensuring your customers, drivers and users always enjoy the most up-to-date map data. That same speed and flexibility extends to how we help you build your mapping app: You’re in control of your map data, choosing what you want to include in your final product.

All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.

We provide background maps, image maps, and hybrid maps provided by Open Platform. You can use it by adding the request URL to the user client as a Javascript source with the authenticated key value. Supports OpenLayers 2.7 ~ 2.13. If you want to use the latest version of Openlayers, you can use the WMTS API. For related inquiries, please link to the relevant site and contact the relevant customer center and we will respond.

Static Map API is an API that enables location display and information sharing using open platform background maps, image maps, and hybrid maps without relying on JavaScript. There is currently no limit to the number of requests, but it may vary depending on API usage and server overload. When called with RestAPI, the result is returned as an image.

Index of maps showing property, public right of way and city easements.

LandsD Map Label API

To provide a more convenient service to all sectors, the TGOS MAP API Lite (Web) promotion version was launched in June 103, eliminating the need for any registration or application process, allowing immediate setup of a personal internet map and experience the convenience of rapid development. Easily create your own map platform and mark personalized point data on it, free for personal or business use.

The map service (WFS group) presents data from the topic of soil.:Board overview map BÜK100

This layer of the GeoIndex shows the location of available 1:10000 scale digital geological maps within Great Britain. The Digital Geological Map of Great Britain project (DiGMapGB) has prepared 1:625 000, 1:250 000 and 1:50 000 scale datasets for England, Wales and Scotland. The datasets themselves are available as vector data in a variety of formats in which they are structured into themes primarily for use in geographical information systems (GIS) where they can be integrated with other types of spatial data for analysis and problem solving in many earth-science-related issues. The DiGMapGB-10 dataset is as yet incomplete, current work is concentrated on extending the geographical cover, especially to cover high priority urban areas.

Discover the booming Google Maps Platform consulting market! Our analysis reveals a $2B market in 2025 projected to reach $6B by 2033, driven by location intelligence and online service adoption. Explore key trends, regional insights, and leading companies shaping this dynamic landscape.

The 2011 Bedrock Geologic Map of Vermont (1:100,000 scale) was created to integrate detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont. It supersedes the 1961 bedrock geologic map which was produced at a scale of 1:250,000 (Doll and others, 1961).Please see the metadata and readme files at the publication website:https://pubs.usgs.gov/sim/3184/

Crowd‑Sourced Map Change Detection API Market Outlook

According to our latest research, the global Crowd-Sourced Map Change Detection API market size stood at USD 1.17 billion in 2024, with a robust year-on-year growth trajectory. The market is experiencing a strong compound annual growth rate (CAGR) of 14.9% from 2025 to 2033, driven by increasing demand for real-time geospatial intelligence across multiple sectors. By 2033, the market is expected to reach USD 3.67 billion, propelled by technological advancements, growing urbanization, and the proliferation of connected devices. As per our latest research, the key growth factor is the rising reliance on crowd-sourced data for dynamic and accurate map updates, which is reshaping the landscape of digital mapping solutions worldwide.

One of the primary growth drivers for the Crowd-Sourced Map Change Detection API market is the exponential increase in the use of location-based services across industries such as transportation, logistics, urban planning, and environmental monitoring. The proliferation of smartphones and IoT devices has made it possible for millions of users to contribute real-time geospatial data, which can be aggregated and analyzed for rapid map updates. This democratization of data collection enables mapping platforms to detect changes such as new roads, infrastructure developments, traffic patterns, and environmental shifts with unprecedented speed and accuracy. As organizations seek to optimize operations and enhance user experiences, the demand for APIs that leverage crowd-sourced intelligence for map change detection is set to surge, further fueling market expansion.

Another significant factor contributing to market growth is the integration of artificial intelligence and machine learning within map change detection APIs. These technologies enable advanced pattern recognition, anomaly detection, and predictive analytics, allowing for more precise identification of map changes from vast and diverse data sources. Enterprises and government agencies are increasingly adopting these solutions to improve decision-making processes, enhance public safety, and streamline resource allocation. Furthermore, the scalability and flexibility offered by cloud-based deployment models make it easier for organizations of all sizes to adopt and integrate these APIs into their existing systems, accelerating market penetration and technological adoption globally.

The evolving regulatory landscape and growing emphasis on data privacy and security are also shaping the Crowd-Sourced Map Change Detection API market. As governments and organizations implement stricter data governance policies, vendors are investing in robust security frameworks and compliance measures to ensure the integrity and confidentiality of crowd-sourced geospatial data. This focus on data protection not only mitigates risks but also builds trust among end-users and contributors, encouraging wider participation and data sharing. Additionally, the emergence of open data initiatives and public-private partnerships is fostering innovation and collaboration, further catalyzing the development and adoption of advanced map change detection solutions.

Regionally, the market exhibits dynamic growth patterns, with North America and Europe leading in technology adoption and investment, while Asia Pacific demonstrates the fastest growth rate due to rapid urbanization and digital transformation. Latin America and the Middle East & Africa are also witnessing increased adoption, driven by infrastructure development and the need for efficient urban management. The global landscape is characterized by a diverse set of market players, ranging from established mapping service providers to innovative startups, all vying for a share of this rapidly expanding market.

Component Analysis

The Component segment of the Crowd-Sourced Map Change Detection API market is primarily divided into Software and Services. Software components encompass the core APIs, platforms, and analytical engines that facilitate the detection and processing of map changes from a multitude of crowd-sourced data points. These solutions are increasingly leveraging advanced algorithms, machine learning, and artificial intelligence to improve the precision, speed, and scalability of map updates. As the volume and complexity of geospatial data c

Index map page boundaries of the Mat-Su Borough Tax Map Page Index. The entire Borough is divided into a series of "base maps" and "index" or "grid maps". Base maps are given names that represent the geographical area represented (similar to USGS quad mapping) and index maps are numbered sequentially within the base map. The result is a base map with a two-character name (for example: ("WA" for Wasilla) and numbered index maps (usually numbered "1" thru "16"). The Mat-Su Borough tax map set is published using these pages.

This API accesses QLD Government's Maps Online automated reporting service for maps and reports. Spatially-referenced information for the nominated location is integrated, summarised, and delivered via the specified email address once processed. There are supporting functions that retrieve the available report and feature types.

The primary request report function has separate GET and POST end points:

GET https://mapsonline.information.qld.gov.au/service/environment/resource/MapsOnline/1/http/rest/request

POST https://mapsonline.information.qld.gov.au/service/environment/resource/MapsOnline/1/http/rest/requestPost

** Parameters:**

• reportType: any type in getReportTypes

• featureType: any type in getFeatureTypes

• features: any valid feature, e.g. a coordinate as 150,-27, a lot plan as 1,RP1 or GeoJson. Geometries must fall within Queensland and have a total bounding box of less than 200,000km2. Multiple pipe-separated features can be included in a single request, e.g. 1,RP1|2,RP1

• emailAddress: any valid email address

• customerReference: (optional) - include your own file reference

Example Valid Request https://mapsonline.information.qld.gov.au/service/environment/resource/MapsOnline/1/http/rest/request?reportType=PP&featureType=LotPLan&features=1,RP1&emailAddress=OpenData@example.com

{
  message: "Report Requested",
  message_code: "success",
  output: [ ],
  status: 200,
  success: true
}

Example Invalid Request https://mapsonline.information.qld.gov.au/service/environment/resource/MapsOnline/1/http/rest/request?reportType=PP&featureType=coord&features=170,-27&emailAddress=OpenData@example.com

{
  message: "Report request failed",
  message_code: "input_validation",
  output: [
    "Coordinates outside of Queensland"
  ],
  status: 200,
  success: false
}

Biomaps and WetlandMaps provide map interfaces to request some reports available in this API

API using Global Imagery Browse Services (GIBS) designed to deliver global, full-resolution satellite imagery to users in a highly responsive manner, enabling interactive exploration of the Earth.

This service provides data from the location map forest for the INSPIRE topic soil from the geospatial data.:Delimited and homogeneous part of the soil cover with regard to certain soil characteristics and/or spatial patterns.

The Vector Map API provides high-resolution vector-based maps to efficiently visualize data such as terrain, traffic, and buildings. It supports real-time rendering and advanced customization features, making it suitable for a variety of applications. It also provides excellent performance in mobile and web environments through responsive design and cross-platform compatibility. It is implemented with Openlayers.

The entire Vermont extent of the National Flood Hazard Layer (NFHL) as acquired 12/15/15 from the FEMA Map Service Center msc.fema.gov upon publication 12/2/2015 and converted to VSP.The FEMA DFIRM NFHL database compiles all available officially-digitized Digital Flood Insurance Rate Maps. This extract from the FEMA Map Service Center includes all of such data in Vermont including counties and a few municipalities. This data includes the most recent map update for Bennington County effective 12/2/2015.DFIRM - Letter of Map Revision (LOMR) DFIRM X-Sections DFIRM Floodways Special Flood Hazard Areas (All Available)

Pedestrian & Bicycle Master Plan layer for Anne Arundel County, MD. Item Updated: 11-14-2019 12:58 PM

This layer of the map based index (GeoIndex) provides an index to a sub set of the BGS Report Series. The reports themselves describe the local geology and are designed to be read in conjunction with their complementary map or maps. Additional information such as hydrogeology, engineering geology, geological hazards, economic minerals and made and worked ground or other specialist topics of local interest may be included.