Author: Charlie Hewitt

Somayeh Dodge’s GIScience webinar is now online! Abstract: Movement patterns are the results of complex behaviors and processes which drive individuals’ movement in social and ecological systems. These patterns shape urban and natural ecosystem dynamics, structure human and wildlife social networks, and are instrumental to understanding human and wildlife’s behavioral responses to a changing environment. Ubiquitous tracking […]

Taylor Shelton’s GIScience webinar is now online! Abstract: Despite the continued growth of data collected about any number of social and spatial phenomena, as well as new analytical techniques to make sense of such data, many processes of particular interest to geographers remain resistant to datafication, quantification and spatial visualization. But the inherent fuzziness associated with trying […]

Sarah Battersby’s GIScience webinar is now online! Abstract: There are many online and desktop tools designed to make mapping easy for anyone who wants to explore, analyze, and communicate the spatial patterns in their data. However, as geographers seem to enjoy reminding everyone, “spatial is special,” and the decision making that goes into finding, understanding, and communicating […]

Ate Poorthuis’ GIScience webinar is now online! Abstract:After having grown into distinctly different sub-disciplines in the latter half of the 20th century, quantitative geography is now increasingly adopting methods and techniques from network analysis. Network analysis provides a different perspective on the world, through relations between people and places instead of the abstract space of […]

Andrew’s GIScience webinar is now online! Abstract: The beginning of this century marked a milestone in human history. For the first time, more than half of the world’s population lived in urban areas. This trend is expected to continue into the foreseeable future with 6.7 billion people projected to live in cities by 2050. This rapid […]

Anita’s GIScience webinar is now online! Abstract: The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract […]