2023. 1. 28. 12:00ㆍ공간정보의 가치
- What is geospatial data?
- Geospatial data is time-ased data that is related to a specific location on the Earth’s surface. It can provide insights into relationships between variables and reveal patterns and trends.
- Geospatial data is information that describes objects, events or other features with a location on or near the surface of the earth. Geospatial data typically combines location information (usually coordinates on the earth) and attribute information (the characteristics of the object, event or phenomena concerned) with temporal information (the time or life span at which the location and attributes exist). The location provided may be static in the short term (for example, the location of a piece of equipment, an earthquake event, children living in poverty) or dynamic (for example, a moving vehicle or pedestrian, the spread of an infectious disease).
- Types and examples of geospatial data
-Types of geospatial data: Vector data / Raster data
-Examples of geospatial data: Vectors and attributes ,Point clouds, Raster and satellite imagery, Census data, Cell phone data, Drawn images, Social media data
-Geospatial technology
-Geospatial technology and Python
-Geospatial big data challenges
- Geospatial data collection and management
- Benefits of using geospatial data
- Geospatial analysis and analytics
- Geospatial analytics market and industry
- Geospatial data future
- Related Solutions
- Resources
(Sources:IBM, cited from https://www.ibm.com/topics/geospatial-data) (accessed Feb.02, 2023)
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