Movement Analytics: Using geospatial temporal data to understand behavior

Movement analytics has been boosted in the recent years by the ubiquitous availability and quality of spatio-temporal data on people and wildlife. Movement ecology and human mobility are the two main application areas of movement analytics, the first one aims to understand wildlife behavior for conservation purposes mostly, whilst the second one looks at human movement to improve transportation and urban planning, particularly in the context of smart cities. Location-based services and GPS trackers are constantly creating massive data-sets on individuals’ locations at specific timestamps. These data-sets can be analyzed to extract movement patterns, which in conjunction with contextual data can lead to a further understanding of behavior. In this seminar, Dr Brum-Bastos will present her work on the use of movement analytics to understand how birds use the geomagnetic field for navigation, explore bicycling ridership patterns from crowdsourced data and understand the role played by e-scooters in urban centres.

Vanessa da Silva Brum Bastos is a Research Fellow at the School of Geography and Sustainable Development at the University of St Andrews. Currently, she works with Dr Urska Demsar on the project “Uncovering the Mechanisms of Migratory Bird Navigation with Big Data Analytics” funded by the Leverhulme Trust. Dr Bastos' research focuses on the development and implementation of Context-Aware Movement Analysis (CAMA) to further understand behavior from movement data. More specifically, she is interested in combining movement data with environmental and socio-economic variables to understand how different factors can influence human mobility and wildlife behavior. This knowledge is critical for planning equalitarian sustainable transportation systems, as well as designing biodiversity conservation plans.

Spatial Analytics + Data Seminar Series #SAD2020

An international showcase to the best scholarship involving geography and data co-sponsored by Newcastle University, University of Bristol & the Alan Turing Institute.

From segregation and social networks to machine learning and movement, the Spatial Analytics + Data seminar series is a place for dialogue among scholars united by interest in geographic data & spatial analysis, as well as a platform for cutting-edge methods and thinking in spatial social science.

The seminars feature speakers from a wide variety of academic backgrounds & career stages, and are held nearly every week on Tuesday, 1600 GMT throughout the 2020-2021 academic year.

For more information, please contact the series organizers Rachel.Franklin@newcastle.ac.uk & levi.john.wolf@bristol.ac.uk

Spatial Analytics

Working across disciplines to analyse and model spatial data to address complex societal challenges in areas such as health, mobility, education and economic development.

Spatial data are increasingly ubiquitous in terms of availability, as well as application to a range of societal challenges, such as health, mobility, education, or economic development. Newcastle also possesses a strong core of expertise where spatial data, modelling, and analysis are concerned, in disciplines that span all faculties.

Data NuCore

The Data NUCoRE aspires to transform research across the University by driving forward the development and application of new methods for extracting value from data. By fostering collaborations with researchers from across the University, we will nurture the development of new methods for extracting value from data, and encourage novel applications of new methods in a variety of domains.