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

本研究通过测地学测量手段，优化了撞击坑全球空间随机性的量化方法。数据集结构如下：
01_脚本：用于开展撞击坑全球空间随机性分析的Python 2.*版本脚本，附带该脚本中需修改变量的说明文档
02_结果：包含水星、金星与月球的全球撞击坑数据集随机性分析结果，展示形式为直方图、地图图件以及Z得分（Z-score）图
全球撞击坑数据集获取链接如下：
水星（Fassett等，2011）：http://www.planetary.brown.edu/html_pages/mercury_craters.htm
水星（Orgel等，2020）：http://dx.doi.org/10.17632/vf2sfbdvzr.1
金星（美国地质调查局（USGS）金星撞击坑数据库）：https://astrogeology.usgs.gov/search/map/Venus/venuscraters
月球（Robbins等，2018）：https://astrogeology.usgs.gov/search/map/Moon/Research/Craters/lunar_crater_database_robbins_2018