What is Geospatial Data? Uses, Types & Dataset Examples
What is Geospatial Data?
Geospatial data refers to information that is associated with a specific location on the Earth’s surface. It includes data about the physical features, such as terrain, rivers, and buildings, as well as human-made objects and activities. Geospatial data is typically represented using coordinates and can be analyzed and visualized to gain insights into patterns, relationships, and trends in a geographical context.
Examples of geospatial data include satellite imagery, GPS coordinates, digital maps, and aerial photographs. Geospatial data is used for various purposes such as urban planning, environmental monitoring, disaster management, and navigation systems. In this page, you’ll find the best data sources for geospatial data products, including reputable geospatial data providers and the option to buy geospatial data.
Best Geospatial Data Databases & Datasets
Here is Datarade's curated selection of top Geospatial Data. These trusted databases and datasets offer high-quality, up-to-date information.
The Data Appeal | Point of Interest (POI) Data | API, Dataset | 200 Million+ POI Data Mapped | Measure Sentiment and Customer Experience
Grepsr | Walgreens US Stores Across the United States | Geospatial Data Insights
Irys | Geospatial Data Insights | Asia | Real-Time & Historical Mobility Data
Crawlbee | Geospatial Data | Land Data | Location Data | Property Data | Parcel Data
Global Point-of-Interest Data | POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location | 251 Millions+ POI Data Mapped
Factori Global Location Intelligence Data| Geospatial:Foot Print:Places Data|
Geospatial Data: Places Data | USA, UK, CA | Location Data on 26M+ Places
Intuizi Visitation Dataset | Aggregated PoI Footfall Geospatial Data | 6 Countries | Cloud delivery or Visualized via our platform | 400m Uniques
PREDIK Data-Driven I Geospatial data, Satellite Data, Parking Availability I Parking Occupancy Variance Index worldwide
Popular Use Cases
Geospatial Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Frequently Asked Questions
How is geospatial data priced?
Geospatial data products follow various pricing models. These can include monthly subscriptions or licensing fees, tiered pricing based on data extraction, or custom pricing tailored to specific requirements. The pricing structure depends on the data provider and the type of data being offered.
How can I assess the quality of geospatial datasets?
Datarade Marketplace encourages data providers to offer data samples or demos for potential buyers to assess the quality. It’s important to review the reputation of the data provider, check for reviews on the marketplace, and consider data sources from trusted organizations like government bodies that adhere to strict quality assurances. Additionally, evaluating attributes such as accuracy, completeness, consistency, timeliness, resolution/scale, topology/network quality, attribution/metadata quality, format compliance, and semantic integrity can help in assessing data quality.
Can I request custom geospatial data?
Yes, Datarade provides the flexibility to request custom geospatial data based on your specific requirements. Custom pricing can be negotiated with data providers to ensure that the data meets your unique needs.
Who can benefit from buying geospatial databases on Datarade?
Geospatial data on Datarade Marketplace is valuable for professionals such as urban planners, environmental scientists, geographers, and researchers. It is also useful for businesses and organizations seeking location-based insights for analysis and decision-making purposes.
What types of geospatial data are available on Datarade?
Datarade Marketplace offers a rich assortment of geospatial data products, including raster maps, vector graphics, geocoded imagery, orthoimagery, geo-referenced video and audio recordings, and field observations. These datasets cover a wide range of attributes such as coordinates, elevation, land cover, shapes and boundaries, geodetic networks, and more.