sameSVD
Author: Pramit Ghosh
Description
sameSVD stands for Similarity and Affinity Measures for Spatial Vector Data
This package is still under development and many of the objectives of this package are yet to be implemented or conceptualized.
The objective of this package is to establish (if required) and implement measures of (self-)similarity and (self-)affinity for spatial vector data represented in accordance with the Simple Features (officially Simple Features Access) specifications, as standardized by OGC and ISO.
Present Status
| Similarity | Affinity | |
|---|---|---|
| Self | - *POINT [done]- *LINESTRING [done]- *POLYGON [done] |
- *POINT [not implemented yet]- *LINESTRING [not implemented yet]- *POLYGON [not implemented yet]to be implemented using box-counting dimension |
| Others | - *POINT [?]- LINESTRING [turning angles]- POLYGON [turning angles]- MULTILINESTRING [?]- MULTIPOLYGON [?] |
- *POINT [?]- *LINESTRING [?]- *POLYGON [?]need suitable algorithms to implement |
Installation
Dependencies
In order to install this package, the following packages are required as a pre-requisite.
sf
In addition, the following packages are also suggested. These are mostly required to knit the vignettes and run certain tests.
rnaturalearthrnaturalearthdatargeos
These can be installed by running the following command in R:
install.packages(c("sf", "rnaturalearth", "rnaturalearthdata", "rgeos"))Installing sameSVD
This package can be installed as follows
install.packages("remotes")
library(remotes)
install_github("pramitghosh/sameSVD")Usage
The Box-Counting dimension can be calculated using bcd(). The following example illustrates the usage.
library(sameSVD)
library(rnaturalearth)
deutschland = ne_countries(scale = "medium", country = "Germany", returnclass = "sf")
bcd(deutschland, plot = TRUE)A more detailed illustration along with the internal working can be found in the vignettes.