
The main programming language used for coincidence analysis, sensitivity analysis, and drawing files is Python, primarily utilizing the geemap package, which is a key tool for running Google Earth Engine (GEE) in Python. Prior to execution, an independent account and authorization are required. The SEM code is written in R for constructing the PLS-SEM model, and count_all1 serves as the standardized input data for the model.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
