Thursday, December 7, 2023

Spatial Data Types

🌍 Spatial Data Types in GIS! 🗺️

Spatial data types refer to the different representations of spatial information used in geographic information systems (GIS) and other applications that involve the analysis and visualization of spatial data.

🏙️Vector Data

📍 Points: Points are elements composed of two coordinates, X and Y, often corresponding to longitude and latitude (wells, houses, etc., are represented by points)

🛤️Lines/Polylines: Lines are composed of one or more pairs of points connected that define line segments (roads, rivers, streams, etc., are represented by lines)

🌐 Polygons: Polygons are formed by a set of connected lines where the start and end a point have the same coordinate and the interior of the polygon may implied (villages, towns, water body, land parcels, etc., are represented by polygons)

📊 Raster Data

• Raster data are composed of grid cells identified by row and column
• The geographic area is divided into groups of individual cells, which represent in an image
• Satellite images, photographs, scanned images are the examples of raster data generally stored in tiff or JPG format
• Raster data is used to visualized continuous data like Elevation and Rainfall intensity

#GIS #SpatialData #DataTypes #Geography #DigitalTransformation #Point #Line #Polyline #RemoteSensingDateType #Polygon #Raster #learnwithleo

Spatial Data Types

#GIS #SpatialData #DataTypes #Geography #DigitalTransformation #Point #Line #Polyline #RemoteSensingDateType #Polygon #Raster #learnwithleo

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