enviroCar Archive - Page 3 of 12 - Blog

Trajectory Analytics Toolbox: Final Post

September 7, 2020 by John Murzaku Leave a Comment

Filed Under: 52°North, enviroCar, Geostatistics, GSoC Tagged With: envirocar, Google Summer of Code, gsoc2020, traviz

Installation

After 13 fun weeks of Google Summer of Code, learning about package development in R, trajectory data mining, and spatial data mining, I am happy to announce that traviz is ready for use and open source involvement. To download and install, visit traviz and follow the installation instructions detailed in the README. The package website is hosted on Github pages too at the following link. If you would like to see the vignettes detailing an introductory tutorial and showcase of traviz, visit vignette 1 and vignette 2.

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Improvement of Car Selection Process in enviroCar App – Final Blog Post

August 31, 2020 by Arvind Negi 5 Comments

Filed Under: 52°North, enviroCar, GSoC Tagged With: Android, envirocar, Google Summer of Code, gsoc2020, UI, UX

The Google Summer of Code 2020 is just about over. During the summer, I investigated improving different aspects of the enviroCar Android app. It was a very amazing learning experience. In this final blog post, I’d like to wrap up and summarize my achievements during the second half of the Google Summer of Code 2020.

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Trajectory Analytics Toolbox: Midterm Post

July 10, 2020 by John Murzaku Leave a Comment

Filed Under: 52°North, enviroCar, GSoC Tagged With: CRAN, gsoc2020, R, trajectory, traviz

In my project “Trajectory Analytics Toolbox”, I will be creating a general-purpose trajectory analytics toolbox in R. See my first blog post for more background information.

Since the beginning of Google Summer of Code 2020, I have created an R package on Github called traviz. Please see a live demo of some of these functions on a subset of enviroCar data using Shiny.

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Improvement of Car Selection Process in enviroCar App – Mid term Blog Post

July 10, 2020 by Arvind Negi Leave a Comment

Filed Under: 52°North, enviroCar, GSoC Tagged With: Android, Google Summer of Code, gsoc2020, UI, UX

It’s been some fun time working on the enviroCar Android App. In this midterm blog post, I will give an overview of the achievements I’ve reached since the start of the coding phase to the work done until the start of the midterm evaluation.

Introduction

The overarching goal of the project is to improve the car selection process in the enviroCar Android app by integrating previously defined datasets of vehicles. This is app side implementation. For more information about this project, feel free to read the introductory blog post. The following blog post highlights the core tasks and achievements during the first four weeks of this project.

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