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Studying the Global Spatial Randomness of Impact Craters on Mercury, Venus, and the Moon With Geodesic Neighborhood Relationships

Title: Studying the Global Spatial Randomness of Impact Craters on Mercury, Venus, and the Moon With Geodesic Neighborhood Relationships
Authors: Riedel, C.; Michael, G. G.; Orgel, C.; Baum, C.; van der Bogert, C. H.; Hiesinger, H.; 1 Institute of Geological Sciences, Planetary Sciences and Remote Sensing Freie Universität Berlin Berlin Germany; 2 European Space Research and Technology Centre (ESA/ESTEC) Directorate of Human and Robotic Exploration Noordwijk The Netherlands; 3 Department of Computer Science Aarhus University Aarhus Denmark; 4 Institut für Planetologie Westfälische Wilhelms‐Universität Münster Münster Germany
Publication Year: 2021
Collection: GEO-LEOe-docs (SUB Göttingen / TU Bergakademie Freiberg)
Subject Terms: ddc:523; cratering; Mercury; Moon; planetary data; spatial statistics; Venus
Description: Impact crater records on planetary surfaces are often analyzed for their spatial randomness. Generalized approaches such as the mean second closest neighbor distance (M2CND) and standard deviation of adjacent area (SDAA) are available via a software tool but do not take the influence of the planetary curvature into account in the current implementation. As a result, the measurements are affected by map distortion effects and can lead to wrong interpretations. This is particularly critical for investigations of global data sets as the level of distortion typically increases with increasing distance from the map projection center. Therefore, we present geodesic solutions to the M2CND and SDAA statistics that can be implemented in future software tools. We apply the improved methods to conduct spatial randomness analyses on global crater data sets on Mercury, Venus, and the Moon and compare the results to known crater population variations and surface evolution scenarios. On Mercury, we find that the emplacement of smooth plain deposits strongly contributed to a global clustering of craters and that a random distribution of Mercury's basins is not rejected. On Venus, the randomness analyses show that craters are largely randomly distributed across all sizes but where local nonrandom distributions due to lower crater densities in regions of recent volcanic activity may appear. On the Moon, the global clustering of craters is more pronounced than on Mercury due to mare volcanism and the Orientale impact event. Furthermore, a random distribution of lunar basins is not rejected. ; Plain Language Summary: The arrangement of craters on a planetary surface can be random or nonrandom. A nonrandom arrangement, such as clustered or ordered, can indicate geologic or cratering‐related processes. There are generalized approaches to quantify the arrangement of craters available via a software tool. The randomness calculations in this tool rely on the spatial relationships between craters and are determined in a two‐dimensional ...
Document Type: article in journal/newspaper
Language: English
DOI: 10.23689/fidgeo-4364
Availability: https://doi.org/10.23689/fidgeo-4364; http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/8710
Rights: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Accession Number: edsbas.41DA71F1
Database: BASE