https://github.com/aphalo/as7343

Simulation of channel responses of AS7343 spectral sensor.

https://github.com/aphalo/as7343

Science Score: 26.0%

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Repository

Simulation of channel responses of AS7343 spectral sensor.

Basic Info
  • Host: GitHub
  • Owner: aphalo
  • License: gpl-2.0
  • Language: HTML
  • Default Branch: main
  • Size: 62.4 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# AS7343




The goal of AS7343 is to simulate the response of the AS7343 spectral sensor
from asm OSRAM. Based on a light spectrum with high wavelength resolution
simulate the response of each of the 13 channels of the AS7343 digital spectral
sensor, or any other sensor. With the simulations of channels responses further
analysis will attempt to retrieve quantities of interest such as PAR, ePAR, 
UVA:PAR, R:FR and B:G ratios.

## Installation

You can install the development version of AS7343 with:

```{r, eval=FALSE}
remotes::install_github("aphalo/AS7343")
packageVersion("AS7343")
```

## Example

This is a basic example which shows you how to solve a common problem:

```{r example}
library(AS7343)
library(ggspectra)
simul_response(sun.spct, ams_AS7343.spct, 
               unit.out = "photon",
               scale.factor = 1e-6) |>
  ggplot(aes(spct.idx, .data[["R[/q]_Total"]])) +
  geom_col()
```


Owner

  • Name: Pedro Aphalo
  • Login: aphalo
  • Kind: user
  • Location: Helsinki, Finland
  • Company: University of Helsinki, Organismal and Evolutionary Biology (OEB)

Senior University Lecturer, Principal Investigator (Sensory Ecology of Plants, Photobiology, Crops, Forest trees, Data Analysis, Data Visualization)

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Dependencies

DESCRIPTION cran
  • photobiology >= 0.13.1 depends
  • photobiologySensors > 0.5.1 depends
  • ggplot2 * suggests
  • knitr * suggests
  • photobiologyLEDs * suggests
  • photobiologyLamps * suggests
  • photobiologySun * suggests
  • rmarkdown * suggests