Andersson, L. E.; Whitaker, E. A. NASA Catalogue of Lunar Nomenclature. NASA RP-1097. 1982.
Blue, Jennifer. Gazetteer of Planetary Nomenclature. USGS. July 25, 2007 [2007-08-05].
Bussey, B.; Spudis, P. The Clementine Atlas of the Moon. New York: Cambridge University Press. 2004. ISBN 978-0-521-81528-4.
Cocks, Elijah E.; Cocks, Josiah C. Who's Who on the Moon: A Biographical Dictionary of Lunar Nomenclature. Tudor Publishers. 1995. ISBN 978-0-936389-27-1.
McDowell, Jonathan. Lunar Nomenclature. Jonathan's Space Report. July 15, 2007 [2007-10-24].
Menzel, D. H.; Minnaert, M.; Levin, B.; Dollfus, A.; Bell, B. Report on Lunar Nomenclature by the Working Group of Commission 17 of the IAU. Space Science Reviews. 1971, 12 (2): 136–186. Bibcode:1971SSRv...12..136M. doi:10.1007/BF00171763.
Moore, Patrick. On the Moon. Sterling Publishing Co. 2001. ISBN 978-0-304-35469-6.
Price, Fred W. The Moon Observer's Handbook. Cambridge University Press. 1988. ISBN 978-0-521-33500-3.
Rükl, Antonín. Atlas of the Moon. Kalmbach Books. 1990. ISBN 978-0-913135-17-4.
Webb, Rev. T. W. Celestial Objects for Common Telescopes 6th revised. Dover. 1962. ISBN 978-0-486-20917-3.
Whitaker, Ewen A. Mapping and Naming the Moon. Cambridge University Press. 1999. ISBN 978-0-521-62248-6.
Wlasuk, Peter T. Observing the Moon. Springer. 2000. ISBN 978-1-85233-193-1.
外部链接
月球数码摄影图集.
维基月球在线解说-米纳尔环形山.
Andersson, L.E., and E.A. Whitaker, 美国宇航局月球地名目录, 美国宇航局参考出版物1097, 1982年10月.
Ramiro Burr's New Blog - to go back: www.ramiroburr.com From Latin rock to reggaeton, boleros to blues,Tex-Mex to Tejano, conjunto to corridos and beyond, Ramiro Burr has it covered. If you have a new CD release, a trivia question or are looking for tour info, post a message here or e-mail Ramiro directly at: musicreporter@gmail.com Top Tejano songwriter Luis Silva dead of heart attack at 64 By Ramiro Burr on October 23, 2008 8:40 AM | Permalink | Comments (12) | TrackBacks (0) UPDATE: Luis Silva Funeral Service details released Visitation 4-9 p.m. Saturday, Rosary service 6 p.m. Saturday at Porter Loring, 1101 McCullough Ave Funeral Service 10:30 a.m. Monday St. Anthony De Padua Catholic Church, Burial Service at Chapel Hills, 7735 Gibbs Sprawl Road. Porter Loring (210) 227-8221 Related New Flash: Irma Laura Lopez: long time record promoter killed in accident NewsFlash: 9:02 a.m. (New comments below) Luis Silva , one of the most well-known ...
1 I having trouble getting my ResourceDictionary.MergedDictionaries to load from app.xaml. My WPF app has a static class with a Main defined and startup object set to it. Within Main I created an instance of App and run it. The override OnStartup fires and the mainwindow.cs InitializeComponent gives the error "Message "Cannot find resource named 'MaterialDesignFloatingActionMiniAccentButton'. If I put the resources in the mainwindow.xaml everything is fine, but I wanted them to load at the app level so I they are not in each page. Any help appreciated. public partial class App protected override void OnStartup(StartupEventArgs e) base.OnStartup(e); var app = new MainWindow(); var context = new MainWindowViewModel(); app.DataContext = context; app.Show(); from the Main.. var app = new App(); app.Run(); app.xaml.. <Application x:Class="GS.Server.App" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:...
up vote 2 down vote favorite There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row. Here is a visualization of missing data My tries up until now, I used ycimpute library to learn from other values, and applied Iterforest. I noted, score of Logistic regression is so weak (0.6) and thought Iterforest might not learn enough or anyway, except from outer subset which might not be enough? for example the subset with 11 columns might learn from the other columns but not from within it's members, and the same goes for the subset with four columns. This bar plot show better quantity of missings So of course, dealing with missings is better than dropping rows because It would affect my prediction which does contain the same missings quantity relatively. Any better way to deal with these ? [EDIT] The nullity pattern is confirmed: machine-learning cor...
