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GEOS 35603. Geospatial Data Mining. 3 Hours.

Basic tools for analyzing, summarizing and visualizing geospatial data. Exploratory data and spatial data analysis, probability distributions and application, single and multivariate analysis and hypothesis testing, and spatial smoothing and interpolation. Emphasis will be on problem solving in geospatial settings using the R statistical language. Prerequisite: ³Ò·¡°¿³§Ìý35403 and (³Ò·¡°¿³§Ìý30103 or ²Ñ´¡°Õ±áÌý24004 or ²Ñ´¡°Õ±áÌý22003 or ¶Ù´¡³§°äÌý25904) and (³Ò·¡°¿³§Ìý31003 or ¶Ù´¡³§°äÌý11004 or ¶Ù´¡³§°äÌý21103). (Typically offered: Fall and Spring)