Provides functions and necessary 'JavaScript' bindings to quickly
    transfer spatial data from R memory or remote URLs to the browser for use in
    interactive 'HTML' widgets created with the 'htmlwidgets' R package. 
    Leverages 'GeoArrow' (<https://geoarrow.org/>) data representation for data 
    stored in local R memory which is generally faster than traditional 'GeoJSON' 
    by minimising the amount of copy, serialization and deserialization steps 
    necessary for the data transfer. Furthermore, provides functionality 
    and 'JavaScript' bindings to consume 'GeoParquet' (<https://geoparquet.org/>) 
    files from remote URLs in the browser.

Functions to fit geostatistical data. The data can be
        continuous, binary or count data and the models implemented are
        flexible. Conjugate priors are assumed on some parameters while
        inference on the other parameters can be done through a full
        Bayesian analysis of by empirical Bayes methods.

Provides tools to download individual country boundaries and
    global composite boundaries from 'geoBoundaries'
    <https://www.geoboundaries.org/> across multiple administrative
    ('ADM') levels. Returns boundaries as 'sf' objects for mapping and
    spatial analysis. Runfola et al. (2020)
    <doi:10.1371/journal.pone.0231866> describe the underlying database.

Easy access to official spatial data sets of Brazil. The package 
             offers a wide range of spatial data sets available at various 
             geographic scales and for various years with harmonized attributes, 
             projection and fixed topology. All functions allow for seamless
             integration sf, DuckDB and Arrow.

Tools for solving common geocaching puzzle types, and other
    Geocaching-related tasks.

Spatio-temporal causal inference based on point process data. 
    You provide the raw data of locations and timings of treatment and 
    outcome events, specify counterfactual scenarios, and the package 
    estimates causal effects over specified spatial and temporal windows.
    See Papadogeorgou, et  al. (2022) <doi:10.1111/rssb.12548> and
    Mukaigawara, et al. (2024) <doi:10.31219/osf.io/5kc6f>.