A 'Shiny' application for calculating phytosanitary inspection plans based on risks. It generates a diagram of pallets in a lot, highlights the units to be sampled, and documents them based on the selected sampling method (simple random or systematic sampling).

Most price indexes are made with a two-step procedure, where
    period-over-period elementary indexes are first calculated for a collection
    of elementary aggregates at each point in time, and then aggregated according
    to a price index aggregation structure. These indexes can then be chained
    together to form a time series that gives the evolution of prices with
    respect to a fixed base period. This package contains a collection of
    functions that revolve around this work flow, making it easy to build
    standard price indexes, and implement the methods described by
    Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007,
    <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020,
    <doi:10.5089/9781484354841.069>) and PPI manual
    (2004, <doi:10.5089/9781589063044.069>) for bilateral price indexes.

Tools for the processing, segmentation, and analysis of terrestrial laser 
    scanning (TLS and MLS) forest point-cloud data. The package provides fast 
    voxel-based processing, classification of point clouds into forest 
    floor, understory, canopy, and woody components, and algorithms for 
    single-tree analysis and structural characterization. Methods are designed 
    to handle large and dense point-cloud datasets efficiently, supporting 
    applications in forest structure assessment, connectivity analysis, and
    fire-risk evaluation. Input data are provided as '.xyz', '.txt', '.las', or '.laz' point-cloud files.
    The circle-fitting routines used for diameter estimation are adapted, in
    base R, from the 'conicfit' package (GPL-3) by Jose Gama, based on the
    original algorithms and code by Nikolai Chernov.
    For methodological details, see Ferrara and Arrizza (2025)
    <https://hdl.handle.net/20.500.14243/533471> and Ferrara et al. (2018) 
    <doi:10.1016/j.agrformet.2018.04.008>.