overlayLCCs: Overlay different LCC data sources
In PredictiveEcology/LandR: Landscape Ecosystem Modelling in R

Overlay different LCC data sources

overlayLCCs(
  LCCs,
  forestedList,
  outputLayer,
  NAcondition,
  NNcondition,
  remapTable = NULL,
  classesToReplace,
  availableERC_by_Sp,
  forestEquivalencies = NULL
)

`LCCs`	A named list or named `RasterStack` of layers whose content is Land Cover Class.
`forestedList`	A named list of same length and names as `LCCs` indicating which classes in each LCC raster are 'forested', either permanent or transient
`outputLayer`	A character string that matches one of the named elements in `LCCs`. This will be the classification system returned.
`NAcondition`	The condition when a pixel is deemed to be `NA`. Given as a character string of a vectorized logical statement that will be within the `forestEquivalencies` table. It should be a set of conditions with `== 0`, i.e., non-forested. Examples:, e.g., `"LCC2005 == 0"` or `"CC == 0 \| LCC2005 == 0"`, where `0` is the non-forested pixels based on converting LCCs and `forestedList` to `1` and `0`.
`NNcondition`	The 'nearest-neighbour' condition; i.e., the condition when a nearest-neighbour search is done to fill in the pixel with forested type. Given as a character string of a vectorized logical statement that will be parsed within the `forestEquivalencies` table. It should be a set of conditions with `== 0`, i.e., non-forested. Examples:, e.g., `"LCC2005 == 0"` or `"CC == 0 \| LCC2005 == 0"`, where `0` is the non-forested pixels based on converting LCCs and `forestedList` to `1` and `0`.
`remapTable`	`data.table`. This would be for a situation where 2 LCC layers are provided, one has information in a pixel, but not the one which is `outputLayer`, so this needs a reclassify or remap.
`classesToReplace`	Passed to `convertUnwantedLCC`, for the pixels where `NNcondition` is `TRUE`
`availableERC_by_Sp`	Passed to `convertUnwantedLCC`, for the pixels where `NNcondition` is `TRUE`. If this is `NULL`, then it will be created internally with all pixels with: `data.table(initialEcoregionCode = LCCs[[outputLayer]][])`
`forestEquivalencies`	A `data.frame` or `NULL`. If `NULL`, this function will derive this table automatically from the other arguments. Otherwise, the user must provide a `data.frame` with `length(LCCs) + 1` columns, and `2 ^ length(LCCs)` rows. Currently not used.