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training duration icon R - Graphical analysis of spatiotemporal data

Duration: 2 Days
Delivery Type: Classroom
Target Audience: Data Analysts
Course Number: 1000027
Method: Presentation with examples and hands-on labs.
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A. Visualization of Time Series

[Duration: 0.75 Days] Introduction to Displaying Time Series - Time on the Horizontal Axis - Time as a Conditioning or Grouping Variable - Time as a Complementary Variable - R Packages for time series data: zoo and xts - R Packages for visualization: ggplot2, latticeExtra, and googleVis

B. Visualization of Spatial Data

[Duration: 0.75 Days] Introduction to Displaying Spatial Data - Thematic Maps: Proportional Symbol Mapping, Choropleth Maps, Raster Maps, Vector Fields - Reference and Physical Maps - Packages for working with OpenStreetMap - R Packages for spatial data: sp, maptools, gstat, and rgdal - R Packages for visualization: raster, rasterVis, maps, and googleVis

C. Visualization of Space-Time Data

[Duration: 0.5 Days] Introduction to Displaying Spatiotemporal Data - Spatiotemporal Raster Data - Spatiotemporal Point Observations - R Package spacetime for spatiotemporal data

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For trainings with hands-on labs you are kindly requested to bring your own laptop with the required software. Alternatively, you can use our virtual machines (VMWare) for the MS Windows OS.
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We also offer individual appointments or on-site trainings for your team and charge a per-day fee depending on the size of the group.
In order to enroll for a training or for general inquiries regarding our training and consulting services please use the contact form, send us an email or phone. Kontaktformular oder die folgenden Möglichkeiten:
  • Phone : +1.305.395.7962
  • Fax : +1.305.395.7964