Accordingly, the vast majority of available raster GIS data are built on the square pixel. Although pixels may be triangles, hexagons, or even octagons, square pixels represent the simplest geometric form with which to work. These pixels are used as building blocks for creating points, lines, areas, networks, and surfaces. The raster data model consists of rows and columns of equally sized pixels interconnected to form a planar surface. If you are as generous as the author, you may indeed think of your raster dataset creations as sublime works of art. The neo-impressionist artist, Georges Seurat, developed a painting technique referred to as “pointillism” in the 1880s, which similarly relies on the amassing of small, monochromatic “dots” of ink that combine to form a larger image. Notably, the foundation of this technology predates computers and digital cameras by nearly a century. Each of these uniquely colored pixels, when viewed as a whole, combines to form a coherent image.įurthermore, all liquid crystal display (LCD) computer monitors are based on raster technology as they are composed of a set number of rows and columns of pixels. If you zoom deeply into the image, you will notice that it is composed of an array of tiny square pixels (or picture elements). Take a moment to view your favorite digital image. The ubiquitous JPEG, BMP, and TIFF file formats (among others) are based on the raster data model. Most likely, you are already very familiar with this data model if you have any experience with digital photographs. The raster data model is widely used in applications ranging far beyond geographic information systems (GIS).
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