Methods for processing spatial data for decision-making. 
  This package is an R implementation of methods provided by the open source software GeoFIS <https://www.geofis.org> (Leroux et al. 2018) <doi:10.3390/agriculture8060073>. 
  The main functionalities are the management zone delineation (Pedroso et al. 2010) <doi:10.1016/j.compag.2009.10.007> and data aggregation (Mora-Herrera et al. 2020) <doi:10.1016/j.compag.2020.105624>.

A Kriging method for functional datasets with spatial dependency.
    This functional Kriging method avoids the need to estimate the
    trace-variogram, and the curve is estimated by minimizing a quadratic
    form. The curves in the functional dataset are smoothed using Fourier
    series. The functional Kriging of this package is a modification of the
    method proposed by Giraldo (2011) <doi:10.1007/s10651-010-0143-y>.

Implementation of the ordinary functional kriging method 
    proposed by Giraldo (2011) <doi:10.1007/s10651-010-0143-y>. This
    implements an alternative method to estimate the trace-variogram using
    Fourier Smoothing and Gaussian Quadrature.

A model building procedure to build parsimonious geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects, smoothing splines and a smooth spatial surface to model spatial autocorrelation. The resulting covariate set after gradient boosting is further reduced through backward elimination and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study in Berne (Switzerland) is provided. Nussbaum, M., Walthert, L., Fraefel, M., Greiner, L., and Papritz, A. (2017) <doi:10.5194/soil-3-191-2017>.

The American Community Survey (ACS)
    <https://www.census.gov/programs-surveys/acs> offers geodatabases with
    geographic information and associated data of interest to researchers
    in the area. The goal of this package is to generate objects that
    allow us to access and consult the information available in various
    formats, such as in 'GeoPackage' format or in multidimensional 'ROLAP'
    (Relational On-Line Analytical Processing) star format.