https://github.com/ghtaranto/scapesclassification
The R-package scapesClassification is designed to translate users’ mental models of seascapes, landscapes and, more generally, of geo-spaces into computer representations (classifications).
https://github.com/ghtaranto/scapesclassification
classification-algorithm object-detection r raster spatial
Last synced: 6 months ago
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The R-package scapesClassification is designed to translate users’ mental models of seascapes, landscapes and, more generally, of geo-spaces into computer representations (classifications).
- Host: GitHub
- URL: https://github.com/ghtaranto/scapesclassification
- Owner: ghTaranto
- License: gpl-3.0
- Created: 2021-01-21T11:54:53.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-03-28T18:58:26.000Z (over 3 years ago)
- Last Synced: 2025-04-08T15:17:33.574Z (6 months ago)
- Topics: classification-algorithm, object-detection, r, raster, spatial
- Language: R
- Homepage: https://ghtaranto.github.io/scapesClassification/
- Size: 85.3 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE.md
Awesome Lists containing this project
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# scapesClassification 
The R-package `scapesClassification` is designed to translate users' mental models of seascapes, landscapes and, more generally, of geo-spaces into computer representations (classifications). Spaces and geographic objects are classified with user-defined rules taking into account spatial data as well as the spatial relationships existing among different classes and objects.
## Raster surfaces and objects
* _scapesClassifications_ are performed on raster surfaces. The suit of available functions can be used to segment the raster space and to identify and manipulate distinct raster objects (i.e., groups of raster cells identified by a unique ID).
## Key ideas
* Landscapes and seascapes tend to have prominent features easy to identify. These features can be considered as ***anchor locations***, locations around which a classification process can start and evolve.
* A classification process can take into account the ***spatial relationships*** that are expected to exist among different classes, i.e., where a segment of space or an object is expected to be in relation to other segments and objects.
* Based on such relationships, it is possible to estimate where a certain class is expected to exist and to perform ***focal evaluations*** of classification rules: rules are only evaluated at suitable locations, thus, limiting possible misclassification cases.
* A classification process is seen as ***multi-step***: as new portions of a raster are classified they can be used to define new focal areas over which classification rules are evaluated.
## Get started
If you are just getting started with **scapesClassification** and you would like to have a general overview of the package capabilities you can consult the [github page](https://ghtaranto.github.io/scapesClassification/) and the [working example](https://ghtaranto.github.io/scapesClassification/articles/get_st.html) articles. For a deeper understanding of how the package works you can consult the [implementation](https://ghtaranto.github.io/scapesClassification/articles/get_st.html) articles and the examples throughout the package [documentation](https://ghtaranto.github.io/scapesClassification/reference/index.html).
## Installation
You can install the released version of `scapesClassification` from [CRAN](https://cran.r-project.org/package=scapesClassification) with:
``` r
install.packages("scapesClassification", dependencies = TRUE)
```
And the development version from [GitHub](https://github.com/ghTaranto/scapesClassification) with:
``` r
# install.packages("devtools")
devtools::install_github("ghTaranto/scapesClassification", dependencies = TRUE)
```