Paper presentations —> tools
Visualising Time and Place from Collection Metadata
The Patents, Designs and Trade Marks Office and predecessor: Ornamental Design Act 1842 Representations is a series of data from The National Archives containing over 400,000 individual descriptions of ornamental designs from the mid to late 19th century. As part of each record’s metadata, it includes date, location, and ancillary information.
Visualising data can convey information and engage users in ways that textual or typographic presentation cannot. By plotting this information on a map with a combined timeline, it is possible to discover information that would otherwise have been inaccessible, such as where certain industries were important, and how they changed over time.
In this paper I will disclose and discuss the processes used to prepare the archive metadata for visualisation (including extraction, rationalisation, and geocoding), the difficulties encountered, the technologies involved in presenting the data, and the new knowledge that can be obtained by displaying a data series in this manner, and alongside other sources.
How do we internalise value in data when we represent it visually?
The enormous amount of data now in existence in digital form provides us with the opportunity to develop new and relevant methods to represent this information. Infographics, tag clouds, graphs and vector based data applications such as Raw allow us to display data in a way that appeals to an audience that are visually literate and want their information in a clear, unambiguous manner. How do we achieve this without indicating subjective bias in the value we attribute to the data ? One way is to use term weighting and assign values to the data before we process it.
This paper will look at 2 software applications, Weka and VOSViewer and their use in creating visual representations of data from large datasets. With Weka, I will look at how it can be used to create visual representations of data based on term weighting, value, co occurences and preference. I will look at how the applications have evolved to accommodate the needs of users in academia and discuss the potential for using VOSViewer as a tool for displaying this data visually creating density and network visualisations.
Holistic Approach to Extracting and Visualising Spatial Knowledge: A Case of the Smart-Out Application
In this exhibition I will present my multi-functional application Smart-out that I developed in response to the challenges of data integration not addressed by similar tools currently available on the market. My application is based on VR and big data crowd-mapping technologies to serve the public, business and researchers.
I will focus in particular on the application’s function to serve as a digital map connecting us with the outside world. My personal experience as a foreign student who landed in England a few years ago has largely informed the design of Smart-out. Although many virtual tools are available to help people immerse and get around in their new environment, spatial knowledge acquisition from navigation in real world does not seem to take into account a newcomers perspective.
Navigation is a deep semiotic challenge. First, cultural and technological differences underpin the way digital map applications are designed. Second, multiple applications that are out there on the market are overspecialised and have their limitations. For example, the Google map doesn’t calculate public transportation fees. Seldom is there a convenient B2C application, except for Amazon. However, Amazon rarely includes tertiary industry. In result, users have to open multiple accounts and jump from one app to another to get around in their environment. In response to these challenges, my solution was to approach the problem in a holistic way that would extract spatial knowledge from navigation in real and virtual worlds and visualise it as a panorama inclusive of ‘mark & comment’ functions, chats, shopping, learning news and more.