person(given="Paulo Henrique Fernandes de", family="Araujo", role=c("ctb")),
Suggests: covr, dplyr (>= 0.8-3), ggplot2, knitr, magrittr, mapview,
Imports: httr, readr, sf (>= 0.9-0), utils
Paulo Henrique Fernandes de Araujo [ctb],

Description: 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
Imports: httr (>= 1.4.1), readr, sf (>= 0.9-3), utils

Imports: data.table, httr (>= 1.4.1), readr, sf (>= 0.9-3), utils

Title: Download Official Spatial Data Sets of Brazil
attributes, projection and fixed topology.
Suggests: covr, crul, dplyr (>= 0.8-3), ggplot2 (>= 3.3.1), knitr,
magrittr, mapview, rmarkdown (>= 2.6), testthat
Imports: curl, data.table, httr (>= 1.4.1), readr, sf (>= 0.9-3), utils

Imports: crul, curl, data.table, httr (>= 1.4.1), readr, sf (>= 0.9-3),

Imports: curl, data.table, httr (>= 1.4.1), methods, sf (>= 0.9-3),

Imports: dplyr, stringr, magrittr, tibble, threewords
Authors@R: person("Alun", "Hewinson", email="alunhewinson@gmail.com", role=c("cre", "aut"))
Description: Tools for solving common geocaching puzzle types, and other

Title: Implementing Methods for Spatial Fuzzy Unsupervised
person("Jeremy", "Gelb", email = "jeremy.gelb@ucs.inrs.ca",role = c("aut", "cre")),
Suggests: knitr (>= 1.28), rmarkdown (>= 2.1), markdown (>= 1.1),
0.100), ggpubr (>= 0.2.5), RColorBrewer (>= 1.1-2), kableExtra
Description: 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. Indexes for estimating the spatial consistency and classification quality are proposed in addition.
The methods were originally proposed in the field of brain imagerie (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>).