In Geographic Information Systems (GIS), there are two primary types of spatial data: Raster and Vector. Each type represents geographic features and spatial information in a different way.
Raster Data
- Definition: Raster data is a grid of cells (pixels), each with a value representing information, such as temperature, elevation, or land cover.
- Structure: Made up of rows and columns forming a matrix; each cell has a geographic location and a value.
- Best Used For:
- Continuous data (e.g., satellite imagery, aerial photos, elevation models)
- Surface analysis (e.g., slope, aspect)
- Examples:
- Digital Elevation Models (DEMs)
- Satellite images (e.g., Landsat)
- Land use/land cover maps
- File Formats: .tif, .img, .jpg, .png, .grd
Vector Data
- Definition: Vector data uses geometric shapes (points, lines, polygons) to represent discrete features.
- Structure:
- Points: Single x,y coordinates (e.g., trees, wells)
- Lines: Series of points forming paths (e.g., roads, rivers)
- Polygons: Closed loops defining areas (e.g., lakes, land parcels)
- Best Used For:
- Discrete features
- Network analysis
- Precise boundaries
- Examples:
- Administrative boundaries
- Transportation networks
- Property parcels
- File Formats: .shp, .geojson, .kml, .gdb
Summary Table
Feature | Raster | Vector |
---|---|---|
Data Type | Pixel/grid-based | Coordinate-based |
Best For | Continuous data | Discrete data |
Storage | Large files for high resolution | More compact for discrete features |
Examples | Elevation, satellite imagery | Roads, boundaries, cities |
Geometry Types | None (just grid cells) | Points, lines, polygons |
