Rasterization
The process of converting vector data (points, lines, polygons) into raster format for analysis or visualization (inferred from standard GIS usage).

What does Rasterization mean?
The act of transforming vector data—such as points, lines, or polygons—into raster format—a grid of pixels or cells—in which each cell is given a value determined by the vector features it intersects—is known as rasterization.
Detailed Description: There are two primary ways to represent data in a GIS: raster (grids of cells) and vector (geometries like points, lines, and polygons). By filling in the cells that the vector features occupy, rasterization converts these vector geometries into a raster grid.
The process of rasterizing point data entails giving each point's cell a value.
The procedure finds and fills the cells that cross the line for line data.
All cells inside the polygon's boundary are filled by the rasterization process for polygon data.
One important GIS procedure is rasterization, which fills grid cells according to spatial overlap to transform vector features into a raster representation. It makes it possible to use vector data in workflows for raster-based modelling and analysis.
Related Keywords
The process of turning vector graphics—which are made up of points, lines, and shapes—into a raster or grid of pixels is known as rasterization. In order to represent the original geometry, each pixel is given a colour value. This allows the image to be processed in raster-based programs or shown on screens. This procedure is essential for converting scalable vector data into fixed-resolution images in digital imaging, computer graphics, and GIS.
The technique of turning vector graphics—shapes determined by mathematical equations—into a grid of pixels or dots for screen display is known as rasterization in computer graphics. In order to render complicated scenes quickly and in real time, it converts 2D or 3D objects into raster images by deciding which pixels should be lighted and what colour they should be. This method is essential for digital visualization, simulations, and gaming.
Vector drawings are transformed into pixels on a screen by rasterization. The foundation of computer graphics and GIS rendering is made up of algorithms such as Bresenham's line and scanline filling, which efficiently map objects to pixels.
In order to facilitate processing, display, and analysis of vector graphics and geographical data in GIS and computer graphics, rasterization techniques transform them into a grid of pixels or cells. Point sampling, line or edge tracing, and area filling are common techniques that balance computing efficiency and accuracy. These methods are necessary for digitally creating intricate geometric objects, maps, and pictures.
