Correction to: Predicting Radiotherapy Patient Outcomes with Real-Time Clinical Data Using Mathematical Modelling.
Browning, A
Lewin, T
Baker, R
Maini, P
Moros, E
Caudell, J
Byrne, H
Enderling, H
Bulletin of mathematical biology
volume 86
issue 4
35
(28 Feb 2024)
Counterparty Credit Limits: An Effective Tool for Mitigating Counterparty Risk?
Gould, M
Hautsch, N
Howison, S
Porter, M
(01 Jan 2017)
Quasi-Centralized Limit Order Books
Gould, M
Porter, M
Howison, S
(01 Jan 2015)
The Long Memory of Order Flow in the Foreign Exchange Spot Market
Gould, M
Porter, M
Howison, S
(01 Jan 2015)
Minimizing Congestion in Single-Source, Single-Sink Queueing Networks
Ying, F
Wallis, A
Porter, M
Howison, S
Beguerisse-Diaz, M
(01 Jan 2021)
Unveiling the Importance of Non-Shortest Paths in Quantum Networks
Hu, X
Dong, G
Lambiotte, R
Christensen, K
Fan, J
Tian, Z
Gao, J
Havlin, S
Meng, X
(23 Feb 2024)
Encouraging Safe, Green, and Economically Sustainable Use of our Natural Environment
Berryman, A
Donlon, E
Abrahams, S
Aleandri, M
Correia, J
Kamperis, S
McKinnell, D
Metherall, B
Millward, F
Yu, K
Zeng, F
Roberts, J
Brennan, G
Quantification of vascular networks in photoacoustic mesoscopy
Brown, E
Lefebvre, T
Sweeney, P
Stolz, B
Gröhl, J
Hacker, L
Huang, Z
Couturier, D
Harrington, H
Byrne, H
Bohndiek, S
Isothermal limit of entropy solutions of the Euler equations for isentropic gas dynamics
Chen, G
Huang, F
Wang, T
SIAM Journal on Mathematical Analysis
volume 56
issue 1
1300-1320
(08 Feb 2024)
Tue, 05 Mar 2024
14:00 -
15:00
C4
Elsa Arcaute: Multiscalar spatial segregation
Prof. Elsa Arcaute
Further Information
Elsa Arcaute is a Professor of Complexity Science at the Centre for Advanced Spatial Analysis (CASA), University College London. Her research focuses on modelling and analysing urban systems from the perspective of complexity sciences. Her main branches of research are urban scaling laws, hierarchies in urban systems, defining city boundaries, and the analysis of urban processes using percolation theory and network science.
Abstract
The talk introduces an analytical framework for examining socio-spatial segregation across various spatial scales. This framework considers regional connectivity and population distribution, using an information theoretic approach to measure changes in socio-spatial segregation patterns across scales. It identifies scales where both high segregation and low connectivity occur, offering a topological and spatial perspective on segregation. Illustrated through a case study in Ecuador, the method is demonstrated to identify disconnected and segregated regions at different scales, providing valuable insights for planning and policy interventions.