Data Literacy

Christozov, Dimitar; Rasheva-Yordanova, Katia

doi:10.4018/ijdldc.2017040102

Cited by 5 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be clear that the 'Type' and 'Language' values shown in Table 2 are also fuzzy: open source software is by nature modular and flexible, meaning that the same piece of code can take multiple different forms and the same method can be implemented in multiple languages. The AequilibraE QGIS plugin (Camargo 2015), for example, is also a Python package. Conversely, the MovingPandas Python package by Graser (2019) is also a QGIS plugin.…”

Section: Methods To Identify Open Source Toolsmentioning

confidence: 99%

“…AequilibraE, QNEAT3 and the Networks plugins provide various transport planning tools from the mature and popular QGIS GUI-based Geographic Information System (GIS). AequilibraE provides a broad range of functions for processing transport networks and assigning traffic (Camargo 2015), as detailed in the project's substantial documentation website. QNEAT3 provides a narrower but well documented set of algorithms for transport planning applications, including shortest path, network buffers and OD matrix visualisation.…”

Section: Graphical User Interface (Gui) Toolsmentioning

confidence: 99%

See 1 more Smart Citation

Open source tools for geographic analysis in transport planning

Lovelace

2021

J Geogr Syst

View full text Add to dashboard Cite

Geographic analysis has long supported transport plans that are appropriate to local contexts. Many incumbent ‘tools of the trade’ are proprietary and were developed to support growth in motor traffic, limiting their utility for transport planners who have been tasked with twenty-first century objectives such as enabling citizen participation, reducing pollution, and increasing levels of physical activity by getting more people walking and cycling. Geographic techniques—such as route analysis, network editing, localised impact assessment and interactive map visualisation—have great potential to support modern transport planning priorities. The aim of this paper is to explore emerging open source tools for geographic analysis in transport planning, with reference to the literature and a review of open source tools that are already being used. A key finding is that a growing number of options exist, challenging the current landscape of proprietary tools. These can be classified as command-line interface, graphical user interface or web-based user interface tools and by the framework in which they were implemented, with numerous tools released as R, Python and JavaScript packages, and QGIS plugins. The review found a diverse and rapidly evolving ‘ecosystem’ tools, with 25 tools that were designed for geographic analysis to support transport planning outlined in terms of their popularity and functionality based on online documentation. They ranged in size from single-purpose tools such as the QGIS plugin AwaP to sophisticated stand-alone multi-modal traffic simulation software such as MATSim, SUMO and Veins. Building on their ability to re-use the most effective components from other open source projects, developers of open source transport planning tools can avoid ‘reinventing the wheel’ and focus on innovation, the ‘gamified’ A/B Street https://github.com/dabreegster/abstreet/#abstreet simulation software, based on OpenStreetMap, a case in point. The paper, the source code of which can be found at https://github.com/robinlovelace/open-gat, concludes that, although many of the tools reviewed are still evolving and further research is needed to understand their relative strengths and barriers to uptake, open source tools for geographic analysis in transport planning already hold great potential to help generate the strategic visions of change and evidence that is needed by transport planners in the twenty-first century.

show abstract

Section: Methods To Identify Open Source Toolsmentioning

confidence: 99%

Section: Graphical User Interface (Gui) Toolsmentioning

confidence: 99%

Open source tools for geographic analysis in transport planning

Lovelace

2021

J Geogr Syst

View full text Add to dashboard Cite

show abstract

“…In order to gain knowledge from the accumulated complex and complicated data, a special class of computer applications are developing. This, in turn, limits the number of people who possess the necessary expertise to take advantage of the available data resources (Christozov & Rasheva-Yordanova, 2017;Christozov & Toleva-Stoimenova, 2015;Christozov, Toleva-Stoimenova, Rasheva-Yordanova, & Vukarski, 2016). Thus, the Big Data phenomenon imposes a new social divide between those capable of benefiting from Big Data (members of the so-called "Big Data Elite") and those relying on intermediaries in order to "study" from data.…”

Section: Introductionmentioning

confidence: 99%

Challenges in Designing Curriculum for Trans-Disciplinary Education: On Cases of Designing Concentration on Informing Science and Master Program on Data Science

2019

Self Cite

View full text Add to dashboard Cite

Aim/Purpose: The growing complexity of the business environment and business processes as well as the Big Data phenomenon has an impact on every area of human activity nowadays. This new reality challenges the effectiveness of traditional narrowly oriented professional education. New areas of competences emerged as a synergy of multiple knowledge areas – transdisciplines. Informing Science and Data Science are just the first two such new areas we may identify as transdisciplines. Universities are facing the challenge to educate students for those new realities. Background: The purpose of the paper is to share the authors’ experience in designing curriculum for training bachelor students in Informing Science as a concentration within an Information Brokerage major, and a master program on Data Science. Methodology: Designing curriculum for transdisciplines requires diverse expertise obtained by both academia and industries and passed through several stages - identifying objectives, conceptualizing curriculum models, identifying content, and development pedagogical priorities. Contribution: Sharing our experience acquired in designing transdiscipline programs will contribute to a transition from a narrow professional education towards addressing 21st-century challenges. Findings: Analytical skills, combined with training in all categories of so-called “soft skills”, are essential in preparing students for a successful career in a transdiciplinary area of activities. Recommendations for Practitioners: Establishing a working environment encouraging not only sharing but close cooperation is essential nowadays. Recommendations for Researchers: There are two aspects of training professionals capable of succeeding in a transdisciplinary environment: encouraging mutual respect and developing out-of-box thinking. Impact on Society: The transition of higher education in a way to meet current challenges. Future Research The next steps in this research are to collect feedback regarding the professional careers of students graduating in these two programs and to adjust the curriculum accordingly.

show abstract