Replication Data for: Studying the Global Spatial Randomness of Impact Craters on Mercury, Venus, and the Moon With Geodesic Neighborhood Relationship

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Riedel, Christian; Michael, Gregory. G; Orgel, Csilla; Baum, Carsten; van der Bogert, Carolyn; Hiesinger, Harry, 2021, "Replication Data for: Studying the Global Spatial Randomness of Impact Craters on Mercury, Venus, and the Moon With Geodesic Neighborhood Relationship", https://doi.org/10.35003/J0CULJ, TRR170-DB, V2

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Description	• We improve approaches to quantify the spatial randomness of impact craters by applying geodesic methods • We apply these methods to analyze the global spatial randomness of impact crater populations on Mercury, Venus, and the Moon • We use the results to investigate known crater population variations and surface evolution scenarios on Mercury, Venus, and the Moon This is Version 2, Version 1 is stored in Mendeley, http://dx.doi.org/10.17632/mn2b542k5r.2 (2020-12-22)
Subject	Computer and Information Science
Related Publication	Riedel, Christian; Michael, Greg; Orgel, Csilla; Baum, Carsten; van der Bogert, Carolyn; Hiesinger, Harald (2020), Studying the global spatial randomness of impact craters on Mercury, Venus, and the Moon with geodesic neighborhood relationships, Journal of Geophysical Research, Planets, Volume 126, Issue 3 e2020JE006693, DOI https://doi.org/10.1029/2020JE006693 doi: 10.1029/2020JE006693
Notes	TRR 170 publication no. 126
License/Data Use Agreement	CC0 1.0

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	01_Script.exe Windows Executable - 74.0 KB Published Apr 30, 2021 12 Downloads MD5: c8c27e87ffc44744387c8777fc847a15 Python 2.* script to conduct global randomness analyses of impact craters - Description of the variables to be changed in the Python script	Access File File Access Public Download Options Windows Executable Download Metadata Data File Citation EndNote XML RIS BibTeX
	02_Results.exe Windows Executable - 15.1 MB Published Apr 30, 2021 7 Downloads MD5: 2423820698dcc170e4fa5cc92b063a2a 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	Access File File Access Public Download Options Windows Executable Download Metadata Data File Citation EndNote XML RIS BibTeX
	2020je006693-sup-0001-supporting information si-s01.docx MS Word - 11.8 MB Published Oct 25, 2021 11 Downloads MD5: 32e52d180f470304a2a2c90837cf215d Supporting Information 1	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	Description-1.txt Plain Text - 781 B Published Apr 30, 2021 25 Downloads MD5: 5968590ce2ba05bd0ba094b017c496cf	Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX

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Dataset Persistent ID	doi:10.35003/J0CULJ
Publication Date	2021-04-30
Title	Replication Data for: Studying the Global Spatial Randomness of Impact Craters on Mercury, Venus, and the Moon With Geodesic Neighborhood Relationship
Other ID	DOI: 10.17632/mn2b542k5r.2
Author	Riedel, Christian (Freie Universität Berlin, Germany) - ORCID: orcid.org/0000-0001-5154-4153 Michael, Gregory. G (Freie Universität Berlin, Germany) - ORCID: https://orcid.org/0000-0002-2612-6694 Orgel, Csilla (ESA/ESTEC., The Netherlands) - ORCID: https://orcid.org/0000-0001-7317-0092 Baum, Carsten (Aarhus University, Denmark) van der Bogert, Carolyn (Westfälische Wilhelms-Universität Münster, Germany) - ORCID: https://orcid.org/0000-0003-2882-7037 Hiesinger, Harry (Westfälische Wilhelms-Universität Münster, Germany) - ORCID: https://orcid.org/0000-0001-7688-1965
Contact	Use email button above to contact. Riedel, Christian (Freie Universität Berlin, Germany)
Description	• We improve approaches to quantify the spatial randomness of impact craters by applying geodesic methods • We apply these methods to analyze the global spatial randomness of impact crater populations on Mercury, Venus, and the Moon • We use the results to investigate known crater population variations and surface evolution scenarios on Mercury, Venus, and the Moon This is Version 2, Version 1 is stored in Mendeley, http://dx.doi.org/10.17632/mn2b542k5r.2 (2020-12-22)
Subject	Computer and Information Science
Topic Classification	Planetary surface data (impact craters Mercury, Venus, Moon)
Related Publication	Riedel, Christian; Michael, Greg; Orgel, Csilla; Baum, Carsten; van der Bogert, Carolyn; Hiesinger, Harald (2020), Studying the global spatial randomness of impact craters on Mercury, Venus, and the Moon with geodesic neighborhood relationships, Journal of Geophysical Research, Planets, Volume 126, Issue 3 e2020JE006693, DOI https://doi.org/10.1029/2020JE006693 doi: 10.1029/2020JE006693
Notes	TRR 170 publication no. 126
Language	English
Production Date	2020-12-20
Production Place	Freie Universität Berlin, Germany
Grant Information	DFG: TRR 170 - A03 DLR: Grant 50QM1702 DLR: 50OW1504
Distributor	TRR170-DB (Freie Universität Berlin, Germany)
Distribution Date	2021-04-30
Depositor	TRR170-DB
Deposit Date	2021-04-29
Kind of Data	Geographic Information Systems, Spatial Statistics, Voronoi Diagram, Geodesics
Related Datasets	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

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