Indoor <- search_senseBox( exposure = "indoor")Ĭ(“UV”, “Beleuchtungsstärke”, “Luftdruck”, “rel.
In the next chapter you find a short introduction to the basic usage of this R-package and some examples how to visualise the data. With pacakges like ggplot2 or plotly R is the perfect tool to visualise data. This is the point where this R-pacakge comes into play: The R-package senseBox provides access to the senseBox API and enables the user to download, analyse and visualise the data provided by registered senseBoxes. Each senseBox transmits its measurements directly to the map, where anyone can observe, analyze and download the data.
OpenSenseMap is the platform for the publishing of senseBox and other open sensor data. Data collected by senseBox can increase the measured density of various enviromental factors and can contribute to more precise statements regarding climate, pollution or traffic.
With senseBox you can make measurements, helping to answer a variety of scientific questions and to support Citizen Science Projects from the local to global scale. The senseBox is a do-it-yourself kit for stationary and mobile sensor stations.
0 kommentar(er)
