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15 08 2017
How we used Google Maps to review the transport accessibility of cultural institutions
What does it mean that an institution is easily accessible to participants? The problem of accessibility is certainly not limited to transportation networks and means of transport. Using the example of one educational institution, we show how the Google Distance Matrix API can be used to do carry out transport accessibility studies.
Karol Piekarski
15 05 2017
Address mapping: how we process spatial data from a survey
With a host of easy-to-use online tools available, spatial data visualisation has become a helpful research tool. Having accurate data, we can conveniently generate clear and engaging statistical maps. The situation becomes more complicated when we work with faulty or erratic content downloaded from social media or received from survey participants. To get any use out of it, the data needs to undergo a laborious verification process.
Karol Piekarski, Paweł Jaworski
14 04 2017
How to transform data sets into tools for exploring cultural phenomena?
Explorative data analysis is at the heart of any data-driven research process. Having spent several months collecting data from various sources: social media, web sites, and our own surveys, we were able to perform prototype analyses and visualisations in order to test the quality of the collected data and its usefulness at a later stage of work. Being half-way into our study, we are anxious to see how the work done so far will help us explore the issues we are interested in.
Karol Piekarski, Waldemar Węgrzyn
12 01 2017
From response to visualisation: how to streamline survey data processing
Before a response given in a survey makes it into a report or spectacular visualisation, it must go through a multistage data handling process. We provide a step-by-step guide to improving data acquisition and cleaning in order to accelerate the presentation of research outcomes and produce better quality responses.
Karol Piekarski