GISCI Geospatial Core Technical Knowledge Practice Exam

The type of data structure that consists of a structured arrangement of points or values in rows and columns is referred to as a GRID. In the context of GIS, a GRID typically represents raster data, which is made up of a matrix of cells or pixels arranged in rows and columns. Each cell in this structure contains a value representing information such as elevation, temperature, or land cover.

This structured approach allows for the efficient storage and management of spatial data in a uniform grid format, making it ideal for various types of spatial analysis and modeling. By organizing data in this way, users can easily perform operations such as overlay analysis, terrain modeling, and suitability analysis, which rely on the availability of continuous data across a defined area.

While the other options may describe various forms of data storage and representation, they do not specifically denote a structured arrangement in rows and columns. A geodatabase, for instance, serves as a database or file system for storing and managing spatial data but does not inherently describe the grid structure. Vector data, meanwhile, is represented through discrete elements like points, lines, and polygons, which do not fit the grid format. Raster data is indeed related to the concept of a GRID, but the term GRID often refers specifically to discrete,