Data Visualization and Optimization Methods for Placing Entities Within Urban Areas
Author | : Pranav Ramkrishnan |
Publisher | : |
Total Pages | : 83 |
Release | : 2014 |
ISBN-10 | : OCLC:894353952 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Data Visualization and Optimization Methods for Placing Entities Within Urban Areas written by Pranav Ramkrishnan and published by . This book was released on 2014 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the first part of this thesis, I present a portfolio of web-based visualizations that illustrate different data-driven ideas about urban environments. These visualizations are intended to provide the user with unique perspectives about cities and the way they function. I detail the conceptualization, data aspects, and implementation of each of these map visualizations. In the second part of this thesis, I describe an interesting optimization problem of placing entities such as trees or shops within a city. The location of these placements needs to conform to certain constraints enforced by spatial distributions of variables such as population, income, travel times, etc. I then present a heuristic-based optimization strategy, that combines some aspects of Gradient-ascent and Simulated Annealing, to address this problem and attempt to generalize this approach to finding the optimal placements of any entity within a given city. I present some initial results of my optimization algorithm and discuss ways in which it can be further improved.