Name
Title | ||
|---|---|---|
Geospatial socio-economic/demographic data: The existence of spatial autocorrelation mixtures in georeferenced data-Part II |
Abstract | ||
|---|---|---|
This second article in a series of two also addresses the conjectures posited in Part I, asserting that many georeferenced attribute random variables (RVs) contain a positive-negative spatial autocorrelation (SA) mixture, and that georeferenced socio-economic/demographic attribute RVs have roughly the same magnitude of positive SA as that frequently computed for remotely sensed pixel data, an extent suppressed in its net amount by the negative SA in a variable's mixture. Rather than a single RV across a multitude of geographic landscapes, this article summarizes research exploring these two propositions for a wide range of attribute RVs. Findings from both Parts I and II corroborate this mixture's commonplace existence, as well as the tendency for pronounced positive SA to characterize both socio-economic/demographic and remotely sensed variates, with moderate net positive SA typifying measurements for these former georeferenced data. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1111/tgis.12834 | TRANSACTIONS IN GIS |
DocType | Volume | Issue |
Journal | 26 | 1 |
ISSN | Citations | PageRank |
1361-1682 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel A. Griffith | 1 | 91 | 23.76 |
| Khushboo Agarwal | 2 | 0 | 0.68 |
| Meifang Chen | 3 | 0 | 0.68 |
| Changho Lee | 4 | 0 | 0.68 |
| Emily Ann Panetti | 5 | 0 | 0.68 |
| Kyunghee Rhyu | 6 | 0 | 0.68 |
| Lasya Venigalla | 7 | 0 | 0.68 |
| Xiaohe Yu | 8 | 0 | 0.68 |