Name
Title | ||
|---|---|---|
Community scale livability evaluation integrating remote sensing, surface observation and geospatial big data |
Abstract | ||
|---|---|---|
•The community livability evaluation is quantitative, practical and fine-grained.•The evaluation criteria span dimensions of environment, traffic and population.•Remote sensing, surface observation and geospatial big data are used.•Most communities are distributed within the central and marginal urban areas.•Communities in urban area tend to have robustly high livability. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jag.2019.04.018 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Community livability,Multi-criteria decision analysis,Sensitivity analysis,Remote sensing,Geospatial big data | Geospatial analysis,Population,Remote sensing,Rural area,TOPSIS,Big data,Geography,Urban area,Beijing,Sustainability | Journal |
Volume | ISSN | Citations |
80 | 0303-2434 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Li | 1 | 37 | 8.28 |
| Qiangzi Li | 2 | 46 | 9.16 |
| Hongyan Wang | 3 | 2 | 2.73 |
| Xin Du | 4 | 127 | 26.78 |
| Huiping Huang | 5 | 2 | 0.70 |