A Method for Visualizing Multivariate Time Series Data in R Programming language
Publish place: Second International Conference on Environmental Hazards
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEHH02_174
تاریخ نمایه سازی: 13 آبان 1393
Abstract:
Visualization and exploratory analysis is an important part of any data analysis and is made more challenging when the data are voluminous and high-dimensional. One such example is environmental monitoring data, which are often collected over time and at multiple locations, resulting in a geographically indexed multivariate time series. Financial data, although not necessarily containing a geographic component, present another source of high-volume multivariate time series data. We present the mvtsplot function which provides a method for visualizing multivariate time series data. We outline the basic design concepts and provide some examples of its usage by applying it to a database of Rain Station in Golestan Province.
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Authors
Mojtaba ohammadi
Scientific Member of High Education center of Saravan
Alireza Shahriari
Associate Professor, Watershed management Dept., Zabol University
Farhad Zolfaghari
Scientific Member of High Education center of Saravan
Mitra Jabari
Scientific Member of High Education center of Saravan
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