concept

Geospatial Data

Geospatial data refers to information that identifies the geographic location and characteristics of natural or constructed features on Earth, typically represented as coordinates (latitude/longitude), vectors, rasters, or attributes. It encompasses data types like maps, satellite imagery, GPS tracks, and spatial databases, used to analyze relationships, patterns, and trends across locations. This data is fundamental in fields such as geography, urban planning, environmental science, and logistics.

Also known as: Spatial Data, GIS Data, Geographic Data, Location Data, Geo Data
🧊Why learn Geospatial Data?

Developers should learn about geospatial data when building applications that involve location-based services, mapping, navigation, or spatial analysis, such as ride-sharing apps, real estate platforms, or environmental monitoring systems. It is essential for integrating GPS functionality, visualizing geographic information, and performing queries like proximity searches or route optimization, enabling data-driven decisions based on spatial context.

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