landscape.new.floatparam: Create a set of floating point parameters
In stranda/kernelPop2: Spatially explicit population genetic simulations

Create a set of floating point parameters for a Rmetasim landscape.

  ## must be called AFTER landscape.new.empty()
  rland <- landscape.new.floatparam(rland,s=0, seedscale = c(10,10),
  seedshape = c(10,10), seedmix=1, pollenscale=c(2,10),
  pollenshape=c(2,6), pollenmix=1,asp=1)

`rland`	skeletion of landscape object, required
`s`	selfing (default=0), the selfing rate of the species
`seedscale`	two element vector that provides the scale of the exponential/Weibull and mean of the Gaussian components of the seed dispersal kernel.
`seedshape`	two element vector that provides the shape of the exponential/Weibull and sd of the Gaussian components of the seed dispersal kernel, respectively. If the first element of the vector is set to 1, the Weibull portion of the kernel becomes an exponential.
`seedmix`	the mixture parameter (ranges from 0-1) that weights the Weibull/exponential versus Gaussian portions of the dispersal kernel. A value of 1 selects dispersal distances from only the Weibull/exponential portion. A value of 0 selects distances only from the Gaussian portion.
`pollenscale`	two element vector that provides the scale of the exponential/Weibull and mean of the Gaussian components of the pollen dispersal kernel.
`pollenshape`	two element vector that provides the shape of the exponential/Weibull and sd of the Gaussian components of the pollen dispersal kernel, respectively. If the first element of the vector is set to 1, the Weibull portion of the kernel becomes an exponential.
`pollenmix`	the mixture parameter (ranges from 0-1) that weights the Weibull/exponential versus Gaussian portions of the dispersal kernel. A value of 1 selects dispersal distances from only the Weibull/exponential portion. A value of 0 selects distances only from the Gaussian portion.

  ## Defaults
  exampleland <- landscape.new.empty()
  exampleland <- landscape.new.floatparam(exampleland)
  exampleland$floatparam

  ## .5 selfing rate
  exampleland <- landscape.new.empty()
  exampleland <- landscape.new.floatparam(exampleland,s=0.5)
  exampleland$floatparam

  rm(exampleland)