Implementing Methods for Spatial Fuzzy Unsupervised
Classification
c(
person("Jeremy", "Gelb", email = "jeremy.gelb@ucs.inrs.ca",role = c("aut", "cre")),
person("Philippe", "Apparicio", email="philippe.apparicio@ucs.inrs.ca", role=c("ctb")))
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>).
Jeremy Gelb [aut, cre],
Philippe Apparicio [ctb]

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>).

Wrapper for Nokia's HERE geocoding API. See http://here.com/ for
more information on HERE and https://developer.here.com/geocoder for more
information on the HERE geocoding API.

"Cory Nissen <corynissen@gmail.com> [aut, cre]"

c(person(given = "Angela",
family = "Li",
role = c("aut", "cre"),
email = "ali6@uchicago.edu",
comment = c(ORCID = "0000-0002-8956-419X")),
person(given = "Luc",
family = "Anselin",
role = c("ctb"),
comment = "Creator of original spatial datasets")
)
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.
Angela Li [aut, cre] (<https://orcid.org/0000-0002-8956-419X>),
Luc Anselin [ctb] (Creator of original spatial datasets)