GIS Day @ St Andrews
When: Mon. Nov 11, 2019
13:00 – 15:00
Where: SMC:T201 – Lecture Room 1, St Mary’s College, South Street
GIS in the energy industry (Joe Marple, Graduate
Environmental Consultant, Xodus Group, Aberdeen)
Mapping a PhD in bird navigation (Beate Zein, PhD
Candidate, School of Geography & SD, St Andrews)
From paper‐sheet to field data collection – ArcGIS for
Developers (Fernando Benitez, Postdoctoral Researcher,
School of Geography & SD, St Andrews)y
Geospatial data in the wild: how small companies with big
data approach GIS (Carson Farmer, Open Source
Developer, Textile.io, Victoria, Canada)
See also: http://www.gisday.com/
Date: 19 November 2019
Venue: School VI
Automatic detection of animals from aerial photography
Aerial photography is increasing available to ecological researchers from a variety of platforms such as drones, light aircraft and satellites. This generates large amounts of data which is usually examined manually by researchers to detect and locate the animals. This is a time consuming process and often a bottleneck in the pipeline that prevents these data sources being used more widely. Modern computer vision techniques hold out the hope that this could now be automated. I will discuss a dataset that I have created to test algorithms for detection of animals in aerial imagery. I have applied classical computer vision and machine learning techniques to the dataset as well as convolutional neural net approaches. The results of these techniques on the dataset will be presented. The results are now approaching human accuracy for recall, now the focus is on reducing the number of false positives. The location of the animals detected can then be used to model the spatial distribution of the animals over large areas of land.
Christina Fell is in the final year of her PhD in the School of Mathematics and Statistics at St Andrews. She is jointly supervised by Monique Mackenzie from the School of Mathematics and Statistics and David Harris-Birtill from the school of Computer Science.
Date: 15 October 2019
Venue: School VI
Maps, Space and the 2D Plane from the Data and User Interface Perspective
The 2D plane underpins most displays of information and therefore most of the ways in which interface designers and data analysts can dynamically represent information. As a user interface and information visualization designer/researcher I encounter the 2D plane often as a necessity and sometimes as an opportunity to enhance human cognitive processes. Maps, who are the original example of use of the 2D plane to represent information serve often as inspiration.
In this talk, I will discuss some of my most exciting encounters with the 2D plane and maps, and reflect on their deeper affordances to support thinking and understanding. I hope also to engage in conversation with you in the audience about what maps and the 2D plane mean for you and how you use them.
Miguel Nacenta is a Senior Lecturer at the School of Computer Science, University of St Andrews, and a co-founder of SACHI, the St Andrews Human-Computer Interaction group. His work has appeared, among other, in Wired.co.uk, Fast Co.Design, the MIT Technology review, and the New Scientist. He is generally interested in making everyone able to think better and gain a better understanding of the world through new types of interactive media that allow people to leverage collaboration with computers.