There have been many packages in R developed for handling trajectory data, however each package is limited to a specific domain and does not provide functionality for general purpose trajectory analysis and visualization. This Google Summer of Code 2020 project aims to generalize trajectory analysis and visualization by creating a package named traviz.
In this Google Summer of Code 2020 project, we propose to build a new Web Processing Service (WPS) client named wps-js-ng written in the Angular 9 framework with module classes written in typescript. It will be an extension to the 52°North’s wps-js project, which provides encoding and parsing of the basic WPS Requests/Response (such as GetCapabilities, DescribeProcess, Execute, GetStatus and GetResult). This new client will conform to the latest OGC WPS 2.0 standards and is mainly targeted for clients using Angular programming language, who can simply import the library and have all the model classes and modules generated by running simple angular commands.
With EGU 2020 cancelled, this blog post elaborates on the abstract submitted by the 52°North software project
sos4R development team. See the program entry for the abstract EGU2020-19453 in the official program. Please refer to this work by citing the DOI
Accessing environmental time series data in R from Sensor Observation Services with ease
Time series data of in-situ measurements are the key to many environmental studies. The first challenge in any analysis typically arises when the data needs to be imported into the analysis framework. Standardization is one way to lighten this burden. Unfortunately, relevant interoperability standards might be challenging for non-IT experts as long as they are not dealt with behind the scenes of a client application. One standard to provide access to environmental time series data is the Sensor Observation Service (SOS) specification published by the Open Geospatial Consortium (OGC). SOS instances are currently used in a broad range of applications such as hydrology, air quality monitoring, and ocean sciences. Data sets provided via an SOS interface can be found around the globe from Europe to New Zealand.
The R package sos4R (Nüst et al., 2011) is an extension package for the R environment for statistical computing and visualization, which has been demonstrated as a powerful tool for conducting and communicating geospatial research (cf. Pebesma et al., 2012). The features presented in this article are available in the new release version 0.4 on CRAN.more >
This post will also be EGU Session ITS1.8/SSS1.1/EOS2.3/CL5.10/HS12.7/SM3.3 Display D2462 at EGU2020: Sharing Geoscience Online. We will participate in the chat on Monday, 4 May 2020, 10:45–12:30 to discuss our approach and findings.
Improving the provision of information for traffic management and environmentally conscious driving
The CITRAM project aims to improve traffic quality in cities with the help of floating car data provided by citizens. In the course of the project, the partners develop a set of coordinated tools addressing the aim of CITRAM. The citizen science platform enviroCar is used for the collection of floating car data (FCD) in three German cities. This FCD is used in newly developed postprocessing services that derive traffic quality characteristics as valuable input for traffic planers. To support citizens in an eco-friendly driving manner, the consortium also developed a traffic light assistant app ([ui!] ECOMAT). This enables a foresighted driving style in urban traffic. In order to collect a variety of trajectories, citizens are encouraged to collect data in designated campaigns while driving their day-to-day routes with combustion and electric cars. These collected trajectories are anonymized, stored and published under an open data policy in a central server.