2016
DOI: 10.1007/s12650-016-0352-z
|View full text |Cite
|
Sign up to set email alerts
|

An interactive visualization approach to the overview of geoscience data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
1
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 36 publications
1
1
0
Order By: Relevance
“…Equatorial Guinea is a special case, which is far from China but has a high co-occurrence strength. According to the literature [32], we know that the discoveries of large oil fields at the beginning of the 90's made the economic development of Equatorial Guinea rapid, which proves our finding. The expert thinks these findings are potentially very interesting, possibly leading to the discovery of implicit relationship among countries, such as teleconnection.…”
Section: Economic Statistical Datasupporting
confidence: 75%
See 1 more Smart Citation
“…Equatorial Guinea is a special case, which is far from China but has a high co-occurrence strength. According to the literature [32], we know that the discoveries of large oil fields at the beginning of the 90's made the economic development of Equatorial Guinea rapid, which proves our finding. The expert thinks these findings are potentially very interesting, possibly leading to the discovery of implicit relationship among countries, such as teleconnection.…”
Section: Economic Statistical Datasupporting
confidence: 75%
“…The possibilities for a combined visualization of the spatial and temporal aspects of data in a single display are very limited, and the existing scarce approaches are not scalable to large amounts of data [7]. A common approach is to use coordinated views [44] [32], where map displays show the spatial aspect and various kinds of time-oriented displays [1] [3] show the temporal aspect. Waldner et al [53] used curves to link multiple aspects of objects in different projection space.…”
Section: Spatiotemporal Visualizationmentioning
confidence: 99%