Studying the global spatial randomness of impact craters on Mercury, Venus, and the Moon with geodesic neighborhood relationships

Published: 22 December 2020| Version 2 | DOI: 10.17632/mn2b542k5r.2
Christian Riedel,
Greg Michael,
Csilla Orgel,
Carsten Baum,
Carolyn van der Bogert,
Harald Hiesinger


We improve approaches to quantify the global spatial randomness of impact craters by applying geodesic measurements. The data is structured as follows: 01_Script - Python 2.* script to conduct global randomness analyses of impact craters - Description of the variables to be changed in the Python script 02_Results - Contains the results of the randomness analysis of global crater data sets (Mercury, Venus, and the Moon) in the form of histogram and map plots, as well as Z-score plots Global crater data sets are available here: Mercury (Fassett et al., 2011): Mercury (Orgel et al., 2020): Venus (USGS Venus Crater Database): Moon (Robbins et al., 2018):



Westfalische Wilhelms-Universitat Munster, European Space Agency, Freie Universitat Berlin


Planetary Science, Geographic Information Systems, Spatial Statistics, Voronoi Diagram, Geodesics