Within the framework of this I International on-line Conference on Regional Science, on Friday, November 27, a course on georeferencing data analysis will be held given in two sessions by Daniel Arribas-Bel and Federico Pablo-Martí with the following schedule:
10: 00-11: 45 First part, given by Daniel Arribas-Bel
11: 45-12: 00 Break
12: 00-13: 00 Second part, given by Federico Pablo-Martí
Senior Lecturer in Geographic Data Science at the Department of Geography and Planning, and member of the Geographic Data Science Lab at the University of Liverpool (UK), where he directs the MSc in Geographic Data Science. From 2020 to 2023, he is also an ESRC Fellow at the Alan Turing Institute. Member of the development team of the open source library PySAL for spatial analysis in Python, he and created “contextily”, a small Python package to use web tile services in static maps. Since 2019, he is co-editor of “Environment and Planning B – Urban Analytics and City Science” and, since 2020, also in the editorial panel of “Journal of the Royal Statistical Society, Series A – Statistics in Society”. His main research interests are: Geographic Data Science and New Forms of Data, Urban Economics and Regional Science, and Open Source Scientific Computing and Reproducibility.
Federico Pablo- Martí
Federico Pablo Martí holds a PhD in Economics from the University of Alcalá and a Master’s degree in Industrial Economics from the University Carlos III. He is currently an associate professor of Applied Economics in the Department of Economics at the University of Alcalá. He has been a visiting researcher at the Institute for Development Strategies at Indiana University. His main areas of research are regional economics, transport and agent-based simulation models from the perspective of complex networks, fields in which he has published several national and international papers.