2020
DOI: 10.5194/egusphere-egu2020-10465
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Studying the distributions of DTM derivatives of cinder cones: a statistical approach in volcanic morphometry

Abstract: <p>In 2020 we celebrate the 40<sup>th</sup> anniversary of the seminal works of Wood (1980a,b) who was one of the first researchers who considered the shapes of volcanoes in a global point of view. These four decades have seen a number of new approaches that were made possible by the ever increasing computer power and the improvements in Digital Terrain Model (DTM) production. The improving resolution and accuracy of the DTMs of various volcanic fields (VF) opened the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…Some years ago, we also followed this principle [3,4]; however, our findings show distributional overlaps. Therefore, we changed our approach to study the distributions of the parameters of the cones instead [5]; this gives a more robust result in many cases. The important research question in this case is: is it possible to form nonoverlapping age groups of cones so that even if their parameter (e.g., slope) distributions are overlapping, the statistical test applied to their distributions finds a significant difference?…”
Section: Introductionmentioning
confidence: 99%
“…Some years ago, we also followed this principle [3,4]; however, our findings show distributional overlaps. Therefore, we changed our approach to study the distributions of the parameters of the cones instead [5]; this gives a more robust result in many cases. The important research question in this case is: is it possible to form nonoverlapping age groups of cones so that even if their parameter (e.g., slope) distributions are overlapping, the statistical test applied to their distributions finds a significant difference?…”
Section: Introductionmentioning
confidence: 99%
“…This observation led us to study the possibilities of developing some subindices to explore and bring out the formerly hidden geodiversity of such features. Our previous geomorphometric studies on scoria cones [7,8] resulted in descriptive values that can be used as components of geodiversity (e.g., [1]). For the subindices, we consider the symmetry of the edifices scoring for the specific volcanic shape as well as the asymmetry of certain scoria cones that is considered as an increase in geodiversity.…”
Section: Introductionmentioning
confidence: 99%