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DTSTART;TZID=America/Los_Angeles:20170427T090000
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SUMMARY:Introduction to Spatial-Temporal Statistics
DESCRIPTION:Data collected in time and/or space exhibit unique properties that require attention to draw proper conclusions from statistical analyses. In this workshop\, students are introduced to statistical concepts that are particularly useful for analyzing spatial-temporal data.\n \nUsing R and Python\, students will learn the basic mathematics of spatial-temporal analysis via hands-on exercises\, and will put the concepts to practice analyzing real datasets from the environmental sciences. Key R packages will be used in the workshop\, while Python functionality to call R from within Python will also be provided\, therefore accommodating both R and Python users. An introductory knowledge of either R or Python is therefore required to take part in the exercises. A background with either one statistics course or some experience analyzing spatial and/or temporal data is also recommended. While the datasets are drawn from the environmental sciences\, the concepts apply equally across disciplines where data are collected in time and/or space. \nDate: April 27\, 2017 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor:  Gregory Britten\, Yara Mohajerani\, UC Irvine \nPre-requisites: 1) familiarity with basic statistical concepts\, and 2) intermediate R or Python programming knowledge. For the tutorial\, bring a laptop with R or Python downloaded and installed and WiFi.
URL:https://datascience.uci.edu/event/2166/
CATEGORIES:Data Science Event
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