Uses of Package
com.github.gwtd3.api.scales

Packages that use com.github.gwtd3.api.scales

Package	Description
com.github.gwtd3.api
com.github.gwtd3.api.behaviour
com.github.gwtd3.api.scales
com.github.gwtd3.api.svg
com.github.gwtd3.api.time

Classes in com.github.gwtd3.api.scales used by com.github.gwtd3.api

Class and Description
IdentityScale Identity scales are a special case of linear scales where the domain and range are identical; the Scale.apply(double) and its ContinuousQuantitativeScale.invert(double) method are both the identity function.
LinearScale Linear scales are the most common scale, and a good default choice to map a continuous input domain to a continuous output range.
LogScale Log scales are similar to linear scales, except there's a logarithmic transform that is applied to the input domain value before the output range value is computed.
OrdinalScale Ordinal Scales have a discrete domain, such as a set of names or categories, and a discrete output range.
PowScale Power scales are similar to linear scales, except there's an exponential transform that is applied to the input domain value before the output range value is computed.
QuantileScale Quantile scales map an input domain to a discrete range.
QuantizeScale Quantize scales are a variant of linear scales with a discrete rather than continuous range.
ThresholdScale Threshold scales are similar to quantize scales, except they allow you to map arbitrary subsets of the domain to discrete values in the range.

Classes in com.github.gwtd3.api.scales used by com.github.gwtd3.api.behaviour

Class and Description
QuantitativeScale Quantitative scales have a continuous domain: ContinuousQuantitativeScale have a continuous output range DiscreteQuantitativeScale have a discrete output range

Classes in com.github.gwtd3.api.scales used by com.github.gwtd3.api.scales

Class and Description
ContinuousQuantitativeScale QuantitativeScale with a continuous range: LinearScale have a linear interpolator LogScale have apply a log function to the domain PowScale IdentityScale TimeScale are linear scale for timestamp
DiscreteQuantitativeScale QuantitativeScale with a discrete output range.
LinearScale Linear scales are the most common scale, and a good default choice to map a continuous input domain to a continuous output range.
LogScale Log scales are similar to linear scales, except there's a logarithmic transform that is applied to the input domain value before the output range value is computed.
OrdinalScale Ordinal Scales have a discrete domain, such as a set of names or categories, and a discrete output range.
PowScale Power scales are similar to linear scales, except there's an exponential transform that is applied to the input domain value before the output range value is computed.
QuantitativeScale Quantitative scales have a continuous domain: ContinuousQuantitativeScale have a continuous output range DiscreteQuantitativeScale have a discrete output range
Scale Scales are functions that map from an input domain to an output range.

Classes in com.github.gwtd3.api.scales used by com.github.gwtd3.api.svg

Class and Description
Scale Scales are functions that map from an input domain to an output range.

Classes in com.github.gwtd3.api.scales used by com.github.gwtd3.api.time

Class and Description
ContinuousQuantitativeScale QuantitativeScale with a continuous range: LinearScale have a linear interpolator LogScale have apply a log function to the domain PowScale IdentityScale TimeScale are linear scale for timestamp
QuantitativeScale Quantitative scales have a continuous domain: ContinuousQuantitativeScale have a continuous output range DiscreteQuantitativeScale have a discrete output range
Scale Scales are functions that map from an input domain to an output range.