interpolation

class EmpiricalVariogram extends Serializable
class GeoKriging extends Kriging
trait Kriging extends (Double, Double) ⇒ (Double, Double) with Serializable
abstract class LeastSquaresFittingNuggetProblem extends Serializable

Computes fitting of the given empirical semivariogram while forcing the nugget value to 0 (this is invoked when the normal fitting causes a negative nugget value, which is mathematically pointless in Kriging estimation),
abstract class LeastSquaresFittingProblem extends Serializable

Computes fitting of the given empirical semivariogram using a ModelType's function definitions valueFunc() and jacobianFunc()
case class Linear(radius: Option[Double], lag: Double) extends ModelType with Product with Serializable
sealed abstract class ModelType extends Serializable
abstract class NonLinearModelType extends Serializable
class OrdinaryKriging extends Kriging
abstract class Semivariogram extends Serializable
class SimpleKriging extends Kriging
class UniversalKriging extends Kriging

object Circular extends ModelType with Product with Serializable
object EmpiricalVariogram extends Serializable

This creates an empirical variogram from the dataset, which is then used to fit into one of the semivariogram ModelType for use in Kriging Interpolation
object Exponential extends ModelType with Product with Serializable
object Gaussian extends ModelType with Product with Serializable
object GeoKriging extends Serializable
object InterpolationVector
object Linear extends Serializable
object LinearEmpiricalVariogram
object LinearSemivariogram
object NonLinearEmpiricalVariogram
object NonLinearSemivariogram
object OrdinaryKriging extends Serializable
object Semivariogram extends Serializable
object SimpleKriging extends Serializable
object Spherical extends ModelType with Product with Serializable
object UniversalKriging extends Serializable
object Wave extends ModelType with Product with Serializable