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,


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