Robert J. Hijmans [cre, aut], Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Functions for downloading of geographic data for use in spatial data analysis and mapping. The package facilitates access to climate, elevation, soil, species occurrence, and administrative boundary data.

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

Stratified Heterogeneity Measure, Dominant Driving Force
Detection, Interaction Relationship Investigation
c(person("Chengdong", "Xu", email = "xucd@Lreis.ac.cn", role = c("aut", "cre")),person("Jinfeng", "Wang", email = "wangjf@Lreis.ac.cn", role = c("aut")),person("Yue", "Hou" , role = "ctb"),person("Qian", "Yin", role = "ctb"))
Spatial stratified heterogeneity (SSH), referring to the within strata are more similar than the between strata, a model with global parameters would be confounded if input data is SSH. Note that the "spatial" here can be either geospatial or the space in mathematical meaning. Geographical detector is a novel tool to investigate SSH: (1) measure and find SSH of a variable Y; (2) test the power of determinant X of a dependent variable Y according to the consistency between their spatial distributions; and (3) investigate the interaction between two explanatory variables X1 and X2 to a dependent variable Y (Wang et al 2014 <doi:10.1080/13658810802443457>, Wang, Zhang, and Fu 2016 <doi:10.1016/j.ecolind.2016.02.052>).
Chengdong Xu [aut, cre],
Jinfeng Wang [aut],
Yue Hou [ctb],
Qian Yin [ctb]

The geographic dimension plays a fundamental role
in multidimensional systems. To define a geographic dimension
in a star schema, we need a table with attributes corresponding
to the levels of the dimension. Additionally, we will also need
one or more geographic layers to represent the data using this
dimension. The goal of this package is to support the definition
of geographic dimensions from layers of geographic information
related to each other. It makes it easy to define relationships
between layers and obtain the necessary data from them.
dplyr, readr, tibble, tidyr, tidyselect, generics, sf,
magrittr, rlang, pander