Proudit, T. and Lachence-Bernard, N. and Joost, S. and Porta, S. and Strano, E. (2010) A network based kernel density estimator applied to Barcelona economic activities. In: Proceedings of ICCSA 2010 (2010 International Conference on Computational Science and Its Application). Lecture Notes in Computer Science (Part I). Springer, pp. 32-45. ISBN 3642121780
This is the latest version of this item.
Download (2MB) | Preview
This paper presents a methodology to compute an innovative density indicator of spatial events. The methodology is based on a modified Kernel Density Estimator (KDE) that operates along road networks, and named Network based Kernel Density Estimator (NetKDE). In this research, retail and service economic activities are projected on the road network whose edges are weighted by a set of centrality values calculated with a Multiple Centrality Assessment (MCA). First, this paper calculate a density indicator for the point pattern analysis on human activities in a network constrained environment. Then, this indicator is modified to evaluate network performance in term of centrality. The methodology is applied to the city of Barcelona to explore the potential of the approach on more than 11,000 network edges and 166,000 economic activities.
|Item type:||Book Section|
|Keywords:||kernel density, barcelona economic activities, architecture, Mathematical geography. Cartography, Probabilities. Mathematical statistics|
|Subjects:||Geography. Anthropology. Recreation > Mathematical geography. Cartography
Science > Mathematics > Probabilities. Mathematical statistics
|Department:||Faculty of Engineering > Architecture|
|Depositing user:||Dr Nina Baker|
|Date Deposited:||18 Apr 2011 15:50|
|Last modified:||15 Apr 2015 08:45|
Available Versions of this Item
- A network based kernel density estimator applied to Barcelona economic activities. (deposited 18 Apr 2011 15:50) [Currently Displayed]
Actions (login required)