Numerical information at the interval of ratio level; subdivision is conceptually meaningful; can assume any number within an interval, e.g., 14.652 amps.

Quantitative data that varies continuously throughout a raster layer.

Data that uses some sort of measurement scale e.G. Length, time temperature. It can be broken down into smaller and smaller increments.

data resulting from measurement, e.g. length, temperature. Continuous data can take any value between two values, and can only be measured approximately to a certain degree of accuracy. Continuous data are usually represented by a line.

Continuous data represents a value (for example, the population of French départements). Its classic cartographic representation can be a proportional symbol.

Usually a reference to grid or raster data representing surface data such as elevation. In this instance, the data can be any value, positive or negative; sometimes referred to as real data. In contrast, see discrete data.

Can take any value along a continuum (eg. body temperature: 98.4, 98.46, 99.9999997 are all valid) as opposed to discrete data which can only take integer values (eg. number of children in a family). See also Data types.

Data from a measurement scale that can be divided into finer and finer increments. Examples of continuous data include time, temperature, and weight.

This data measured at least at interval level. It is as precise as measuring instruments will allow.

Data with a potentially infinite number of possible values along a continuum (eg age, height).

data containing few gaps that vary slightly over a large range, like weight and height.

a type of raster data that are quantitative (measuring a characteristic) and have related, continuous values, such as remotely sensed images (e.g., Landsat, SPOT, etc.).