Chinese Urban Population Estimates
Bibliographic Data
| ID | 8376359 |
|---|---|
| Authors | C P Lo (0009-0000-1092-4635, University of Hong Kong), R Welch (0000-0003-2756-3586, University of Georgia) |
| Year | 1977 |
| Volume | 67 |
| Issue | 2 |
| Pages | 246-253 |
| Publication date | 1977-06-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the Association of American Geographers (JOURNAL) |
| Journal identifiers | ISSN: 0004-5608 • E-ISSN: 1467-8306 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1111/j.1467-8306.1977.tb01137.x |
| OpenAlex | W2024730205 |
| Language | EN |
| Citations received | 10 |
City populations (P) can be estimated from measurements of built-up urban areas (A) using LANDSAT images. Regression models developed from 1951–56 data for Chinese cities are of the form P=aAb . The models exhibit varying degrees of success when used with LANDSAT area measurements to obtain 1970 population estimates for selected cities in the range of 400,000–3,000,000 people. Further improvements of these models are achieved by the incorporation of up-to-date population statistics and the exclusion of cities with more than 2,500,000 people. Linear regression models were found to be more appropriate for large, regional centers
Cartography · Econometrics · Geographically Weighted Regression · Geography · Linear regression · Physical geography · Population · Range (aeronautics) · Regression · Regression analysis · Sociology · Statistics · Demography · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Mathematics · Remote Sensing and Land Use
Using Semi-variance Image Texture Statistics to Model Population Densities
Spatial Autoregressive Model for Population Estimation at the Census Block Level Using Lidar-derived Building Volume Information
Urban Indicators of China from Radiance-Calibrated Digital DMSP-OLS Nighttime Images
Understanding an urbanizing planet
Annual maps of global artificial impervious area (Gaia) between 1985 and 2018
Defining urban boundaries by characteristic scales
Remote sensing/GIS integration to identify potential low-income housing sites
An Allometric Analysis of the US Urban System
Population in health planning
Urban Allometric Scaling Beneath Structural Fractality of Road Networks
| Citations per year | 0.23 |
|---|---|
| Citation span | 1983 - 2022 (40) |
| Highly cited | No |