Gain seamless access to origin-destination (OD) data from the
    Spanish Ministry of Transport, hosted at
    <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>.
    This package simplifies the management of these large datasets by
    providing tools to download zone boundaries, handle associated
    origin-destination data, and process it efficiently with the 'duckdb'
    database interface.  Local caching minimizes repeated downloads,
    streamlining workflows for researchers and analysts. Extensive
    documentation is available at
    <https://ropenspain.github.io/spanishoddata/index.html>, offering
    guides on creating static and dynamic mobility flow visualizations and
    transforming large datasets into analysis-ready formats.

Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, 
    segmentation, and attribute estimation (Donager et al., 2021) 
    <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 
    'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree 
    detection uses rasterized point cloud metrics (relative neighborhood density and 
    verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate 
    diameter at breast height. Tree segmentation applies graph-theory approaches inspired 
    by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting 
    methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph 
    delineates habitat patches across spatial scales using organism-specific thresholds. 
    Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.

Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019) <doi:10.28951/rbb.v37i2.388>) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) <doi:10.1590/S1413-70542004000100018>). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott.