Best Geospatial Datasets to use in 2025
Geospatial datasets refer to a category of data that contains information about the Earth's surface and its features, including both natural and man-made elements. These datasets are typically represented in the form of coordinates, such as latitude and longitude, and can include various attributes such as elevation, land use, population density, and more. Geospatial datasets are crucial for a wide range of applications, including urban planning, environmental monitoring, transportation optimization, and location-based services. By providing detailed and accurate information about the Earth's geography, these datasets enable businesses and organizations to make informed decisions and gain valuable insights based on spatial analysis.
PREDIK Data-Driven: Geospatial Data | USA | Tailor-made datasets: Foot traffic & Places Data
Geospatial Data | 164M+ Global Places
Geospatial Data: Places Data | Global | Location Data on 56M+ Places
Irys | Geospatial Data Insights | Europe | Real-Time & Historical Mobility Data
Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit
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Geospatial Data | Land Data | Location Data | Property Data | Parcel Data
Grepsr | Point of Interest (POI Data), Geospatial, Review, Rating, Business Opening Hours| Global Coverage with Custom and On demand datasets
Geospatial Data | Address Data | Geocoded | Global coverage | Weekly Updates
Polygon Data | Marinas in US and Canada | Map & Geospatial Insights
Global Geospatial & GIS Data | 230M+ POIs with Location Coordinates, Mapping Metadata & 5000 Categories
What are geospatial datasets?
Geospatial datasets refer to a category of data that contains information about the Earth’s surface and its features, including both natural and man-made elements. These datasets are typically represented in the form of coordinates, such as latitude and longitude, and can include various attributes such as elevation, land use, population density, and more.
What are some common applications of geospatial datasets?
Geospatial datasets are crucial for a wide range of applications, including urban planning, environmental monitoring, transportation optimization, and location-based services. By providing detailed and accurate information about the Earth’s geography, these datasets enable businesses and organizations to make informed decisions and gain valuable insights based on spatial analysis.
How are geospatial datasets collected?
Geospatial datasets are collected through various methods, including satellite imagery, aerial photography, ground surveys, and remote sensing technologies. These data collection techniques capture information about the Earth’s surface and its features, which is then processed and organized into geospatial datasets.
What are the key attributes included in geospatial datasets?
Geospatial datasets can include a wide range of attributes depending on the specific application and purpose. Some common attributes found in geospatial datasets include coordinates (latitude, longitude), elevation, land cover, land use, population density, transportation networks, hydrology, and administrative boundaries.
How are geospatial datasets used in urban planning?
Geospatial datasets play a crucial role in urban planning by providing valuable information about land use, population density, transportation networks, and infrastructure. Urban planners can analyze these datasets to identify areas for development, optimize transportation routes, assess environmental impacts, and make informed decisions to create sustainable and livable cities.
How can businesses benefit from geospatial datasets?
Businesses can benefit from geospatial datasets in various ways. These datasets can help businesses identify potential markets, optimize supply chain routes, analyze customer behavior based on location, assess risks and opportunities, and make data-driven decisions to improve operational efficiency and profitability.