Raster Image Example: Unveiling the Power of Pixelated Artistry

In the vast expanse of geographical information systems (GIS), a significant majority of available raster data are built upon the humble square pixel. While pixels can take on various shapes, such as triangles, hexagons, or even octagons, square pixels remain the simplest and most versatile geometric form to work with. These building blocks are used to create points, lines, areas, networks, and surfaces, forming the foundation of the raster data model.

Rows and columns of equally sized pixels come together to form a planar surface, much like the intricate patterns found in Seurat's pointillist masterpieces. This technique, developed by Georges Seurat in the 1880s, relies on the accumulation of small, monochromatic dots that combine to form a larger image. Interestingly, this concept predates modern technology by nearly a century.

Each uniquely colored pixel, when viewed as a whole, comes together to create a coherent image. This principle is also evident in liquid crystal display (LCD) computer monitors, which are comprised of rows and columns of pixels. Upon closer inspection, you'll notice that your favorite digital images are composed of an array of tiny square pixels or picture elements.

The ubiquitous JPEG, BMP, and TIFF file formats, among others, are all based on the raster data model. This is likely familiar territory if you've had any experience with digital photographs. The raster data model extends far beyond GIS applications, as it's widely used in various fields.

In conclusion, the power of pixelated artistry lies in its simplicity and versatility. From Seurat's pointillist masterpieces to modern-day LCD monitors and digital images, the humble square pixel has played a significant role in shaping our visual landscape.

Raster image example