"Statistical Methods for Interpreting Spatial and Temporal Heterogeneit" by Jamie D. Riggs and Michelle R. Kirchoff
 

Document Type

Article

Publication Date

11-18-2024

Comments

This article is the author's final published version in Earth and Space Science, Volume 11, Issue 11, November 2024, Article number e2024EA003796.

The published version is available at https://doi.org/10.1029/2024EA003796.

Copyright © 2024. The Author(s).

Abstract

The martian tropical water ice spatial and temporal distribution was characterized using impact crater ejecta type, location, size, and age in one of two epochs, (Formula presented.) Ga and (Formula presented.) Ga, using statistical models designed for spatial and temporal correlation structures. The indicator thought to identify the presence of ice is craters with layered ejecta, while the indicator thought to identify no ice is craters with radial ejecta. These indicators imply the location (longitude and latitude) and, potentially, depth (crater diameter as a proxy) of ice, and when the ice was present. The spatial and temporal distribution of layered ejecta versus radial ejecta may inform on the geography and evolution of ice. A statistical spatial point analysis was conducted on a 54-sample data set (craters with diameters 2.77–10.00 km) for an equatorial region ((Formula presented.) to (Formula presented.) S, and (Formula presented.) E to (Formula presented.) W. The analysis shows the spatial and temporal distribution of tropical ice in the study region is most likely random.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Language

English

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