World city populations 1950-2030
Proportional circle time series map
Bibliographic Data
| ID | 4840342 |
|---|---|
| Authors | Duncan A Smith (The Bartlett Centre for Advanced Spatial Analysis, University College London, London, UK, corresponding author) |
| Year | 2017 |
| Volume | 49 |
| Issue | 1 |
| Pages | 3-5 |
| Publication date | 2017-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0308518x16641414 |
| OpenAlex | W2324981170 |
| Language | EN |
| References cited | 2 |
Visualising change over time is a common cartographic task, with solutions ranging from mapping change variables to multiple map frames, interactive maps and animations.In this graphic a global time-series of city population data is mapped through a series of overlapping proportional circle layers representing different points in time.This technique allows spatial time series data to be perceived in a single image, communicating both magnitude and growth in city populations (Figure 1).While this is not a new cartographic technique (see for example Burdett et al., 2011), but is not often used and is relevant for visualising global dynamic datasets
Geography · Statistics · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Mathematics · Urban Design and Spatial Analysis · Geology
| Citation velocity | historical |
|---|---|
| Highly cited | No |