GGRC30H3 Chapter Notes - Chapter week 2: Level Of Measurement, Categorical Variable, Line Segment
Document Summary
Raster data models are cells in a grids pattern in x and y directions (square and even spaced) that represented continuous spatial features: e. g. elevation, precipitation, slope etc. Raster data model depict the gradients according to values changed associated with each cell. Cell dimension: define the edge length of each square cell. Each raster cell is assigned a value that may be considered to apply to entire cell. But the variables are not uniform mostly; there is in-cell variation, so raster cells represent the average, central, or most common value found in the cell. Categorical data: coding scheme using single letter or alphabetic characters for discrete raster cells. One-to-one relationship is barely applied because it requires a large size of attribute table. Many-to-one relationship reduce attribute table size at the cost f some spatial ambiguity. And the summarizing variable may not be spatially contiguous. A comparison of raster and vector data models.
