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A quad chart is a form of technical documentation used to briefly describe an invention or other innovation through writing, illustration and/or photographs. [1] Such documents are described as "quad" charts because they are divided into four quadrants laid out on a landscape perspective.
Three styles of loose leaf graph paper: 10 squares per centimeter ("millimeter paper"), 5 squares per inch (“engineering paper"), 4 squares per inch (“quad paper") Graph paper, coordinate paper, grid paper, or squared paper is writing paper that is printed with fine lines making up a regular grid.
Initially, paper was ruled by hand, sometimes using templates. [1] Scribes could rule their paper using a "hard point," a sharp implement which left embossed lines on the paper without any ink or color, [2] or could use "metal point," an implement which left colored marks on the paper, much like a graphite pencil, though various other metals were used.
Signs of trigonometric functions in each quadrant. In the above graphic, the words in quotation marks are a mnemonic for remembering which three trigonometric functions (sine, cosine, tangent and their reciprocals) are positive in each quadrant.
The region quadtree represents a partition of space in two dimensions by decomposing the region into four equal quadrants, subquadrants, and so on with each leaf node containing data corresponding to a specific subregion.
A quad-edge data structure is a computer representation of the topology of a two-dimensional or three-dimensional map, that is, a graph drawn on a (closed) surface. It was first described by Jorge Stolfi and Leonidas J. Guibas. [1] It is a variant of the earlier winged edge data structure.
Development of the quadrilateralized spherical cube projection on an Earth model [1] In mapmaking, a quadrilateralized spherical cube, or quad sphere for short, is an equal-area polyhedral map projection and discrete global grid scheme for data collected on a spherical surface (either that of the Earth or the celestial sphere).
In forestry, quadratic mean diameter or QMD is a measure of central tendency which is considered more appropriate than arithmetic mean for characterizing the group of trees which have been measured.