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

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): http://www.planetary.brown.edu/html_pages/mercury_craters.htm
Mercury (Orgel et al., 2020): http://dx.doi.org/10.17632/vf2sfbdvzr.1
Venus (USGS Venus Crater Database): https://astrogeology.usgs.gov/search/map/Venus/venuscraters
Moon (Robbins et al., 2018): https://astrogeology.usgs.gov/search/map/Moon/Research/Craters/lunar_crater_database_robbins_2018