Title: Multivariate Nonparametric Methods Based on Spatial Signs and
Description: Test and estimates of location, tests of independence, tests of sphericity and several estimates of shape all based on spatial signs, symmetrized signs, ranks and signed ranks. For details, see Oja and Randles (2004) <doi:10.1214/088342304000000558> and Oja (2010)  <doi:10.1007/978-1-4419-0468-3>.

Description: Test and estimates of location, tests of independence, tests of sphericity and several estimates of shape all based on spatial signs, symmetrized signs, ranks and signed ranks. For details, see Oja and Randles (2004) <doi:10.1214/088342304000000558> and Oja (2010) <doi:10.1007/978-1-4419-0468-3>.

c(person(given = "Seija", family = "Sirkia", role = "aut"),
person(given = "Jari", family = "Miettinen", role = "aut", comment = c(ORCID = "0000-0002-3270-7014")),

Title: Generation of Spatial Data with Spatially Varying Model
Description: A spatial population can be generated based on spatially varying regression model under the assumption that observations are collected from a uniform two-dimensional grid consist of (m * m) lattice points with unit distance between any two neighbouring points. For method details see Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018).<DOI:10.1080/10485252.2018.1499907>.  This spatially generated data can be used to test different issues related to the statistical analysis of spatial data.
This generated spatial data can be utilized in geographically weighted regression analysis for studying the spatially varying relationships among the variables.
Packaged: 2022-03-31 17:28:08 UTC; nobin ch paul

Title: Package for analysis of spatial data
Author: Felipe Osorio <felipe.osorios@usm.cl> and Ronny Vallejos
<ronny.vallejos@usm.cl>, with contributions of Francisco Cuevas
Description: This package provides tools to assess the association between two spatial processes.
Currently, three methodologies are implemented: An adapted t-test to perform hypothesis
testing about the independence between the processes, a suitable nonparametric correlation
coefficient, and the codispersion coefficient. SpatialPack gives methods to complement
methodologies that are available in geoR for one spatial process.