Nothing
SecDim: The Second Dimension of Spatial Association
Most of the current methods explore spatial association using observations at sample locations, which are defined as the first dimension of spatial association (FDA). The proposed concept of the second dimension of spatial association (SDA), as described in Yongze Song (2022) <doi:10.1016/j.jag.2022.102834>, aims to extract in-depth information about the geographical environment from locations outside sample locations for exploring spatial association.
Browse package contents
Package details |
|
|---|---|
| Author | Yongze Song [aut, cre] (<https://orcid.org/0000-0003-3420-9622>) |
| Maintainer | Yongze Song <yongze.song@outlook.com> |
| License | GPL-2 |
| Version | 3.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the SecDim package in your browser
Any scripts or data that you put into this service are public.
