MeteorologyUncorrectedData-class: Class '"MeteorologyUncorrectedData"'

In miquelcaceres/meteoland: Landscape Meteorology Tools

Description

An S4 class to conduct statistical correction of meteorology over a landscape.

Objects from the Class

Objects can be created by calls of the form new("MeteorologyUncorrectedData", ...), or by calls to the function MeteorologyUncorrectedData.

Slots

dates:

Object of class "Date" describing the time period for which meteorological estimates are possible.

bbox:

Object of class "matrix" with the boundary box that sets meteorological estimation boundaries.

proj4string:

Object of class "CRS" with the projection string of station spatial coordinates.

coords:

Object of class "matrix" containing the coordinates of weather stations (each row is a point).

reference_data:

Reference (historic) meteorological data used to calibrate correction factors when compared with observations. A vector of data frames (one per point) or a single data frame containing the meta data (columns dir and filename) of meteorological files that will be read from the disk.

projection_data:

Projection meteorological data to be corrected. A vector of data frames (one per point) or a single data frame containing the meta data (columns dir and filename) of meteorological files that will be read from the disk.

params:

A "list" containing correction parameters.

Extends

Class "MeteorologyProcedureData", directly. Class "Spatial", by class "MeteorologyProcedureData", distance 2

Methods

subsample

signature(object = "MeteorologyUncorrectedData"): Generates a MeteorologyUncorrectedData object for a smaller area and a subset of dates.

Author(s)

Miquel De Cáceres Ainsa, Biodiversity and Landscape Ecology Laboratory, Centre Tecnologic Forestal de Catalunya

See Also

MeteorologyUncorrectedData, MeteorologyProcedureData-class, examplecorrectiondata, subsample

Examples

#Structure of the S4 object
showClass("MeteorologyUncorrectedData")

miquelcaceres/meteoland documentation built on May 8, 2019, 11:57 p.m.