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.

Easy access to official spatial data sets of Brazil as 'sf' objects 
             in R. The package includes a wide range of geospatial data available
             at various geographic scales and for various years with harmonized
             attributes, projection and fixed topology.

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>.

Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed.
    The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).

Stores small spatial datasets used to teach basic spatial analysis
    concepts. Datasets are based off of the 'GeoDa' software workbook and data
    site <https://geodacenter.github.io/data-and-lab/> developed by Luc Anselin
    and team at the University of Chicago. Datasets are stored as 'sf' objects.

Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.