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Recipes for Spatial Statistics with Global Datasets: A Martian Case Study

机译:具有全球数据集的空间统计食谱:火星案例研究

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The Mars Odyssey Gamma Ray Spectrometer has yielded planetary data of global extent. Such remote-sensing missions usually assign the value of a continuous-valued geospatial attribute to a uniform latitude-longitude grid of bins. Typical attributes include elemental-mass fraction, areal fraction of a mineral type, areal fraction of rocks, thermal inertia, etc. The fineness of the grid is chosen according to the spatial resolution of the or-biter and concomitant data processing. We describe methods to maximize the information extracted from both bin and regional data. Rigorous use of statistical parameters and related methods for inter- and intra- regional comparisons are also discussed. While we discuss results from the Mars Odyssey mission, the techniques we describe are applicable whenever continuous-valued attributes of a planet's surface are characterized with bins and regions. Our goal is to distill the simplest statistical methods for regional comparisons that would be intuitively accessible to planetary scientists.
机译:火星奥德赛伽玛射线光谱仪已经获得了全球范围的行星数据。这种遥感任务通常将连续值的地理空间属性的值分配给统一的经度-纬度箱格。典型属性包括元素质量分数,矿物类型的面积分数,岩石的面积分数,热惯性等。网格的精细度是根据轨道飞行器的空间分辨率和相应的数据处理来选择的。我们描述了最大化从bin和区域数据中提取的信息的方法。还讨论了将统计参数和相关方法严格用于区域间和区域内比较的问题。当我们讨论火星奥德赛任务的结果时,只要行星表面的连续值属性以垃圾箱和区域为特征,我们描述的技术就适用。我们的目标是为行星科学家提炼出最简单的统计方法,以进行区域比较。

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