A Graphical User Interface for Environmental Statistics Rudolf - - PowerPoint PPT Presentation

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A Graphical User Interface for Environmental Statistics Rudolf Dutter Department of Statistics and Probability Theory Vienna University of Technology, Austria Dortmund, Germany August 13, 2008 Vienna University of Technology Book: Applied


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A Graphical User Interface for Environmental Statistics

Rudolf Dutter Department of Statistics and Probability Theory Vienna University of Technology, Austria

Dortmund, Germany

August 13, 2008

Vienna University of Technology

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Book: Applied Statistical Data Analysis

DAS+R a companion of this book (Wiley, 2008). Emphasis:

  • Spatial Data
  • Strong Graphical Tools
  • Data from

Geochemistry

  • Little Mathematics
  • Provided Software:

DAS+R 1

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DAS+R (future package of R)

  • Basis: DAS, (all) functions of R, Tcl/Tk
  • Emphasis:

– easy to use (e.g. Rcommander) – fast reproducibility (with small changes) of the results – interactive definition of subsets (numerically and graphi- cally) – strong interaction between statistical data and spatial information – graphical analysis 2

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DAS+R

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Open Data File

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Read DAS/Imp (Preview)

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Read DAS/Imp (Types of Variables)

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Make DAS Data

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Make Subset

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(Pre-)Select Variables

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View Data Set

  • Numerically
  • Graphically

– Histogram – Boxplots – xy-plot – Ternary Plot – Scattermatrix (Draftman) 10

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View Data Set

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Histogram

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Boxplots

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Boxplots

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Xyplot: Specifications

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Xyplot: Specifications

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Xyplot: Specifications

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Xyplot

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Worksheet

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Worksheet Menu

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Filled Worksheet

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Mapping: Boxplot

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Mapping: Boxplot

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Mapping: Proportional Plot

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Mapping: Simple Smoothing

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Mapping: Simple Smoothing

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Mapping: Kriging

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Mapping: Kriging

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Mapping: Kriging

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Principal Components

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Principal Components

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Principal Components

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Principal Components

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Principal Components

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Principal Components

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Principal Components: Export

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Principal Components: Mapping

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Principal Components: Mapping

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Background: Convert

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Background: Convert

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Background: Convert

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Background: Convert

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Result: Spatial Distrib. of Cu

  • Cu [mg/kg]

98 − 4080 18 − 98 7 − 18 5 − 7 3 − 5

0,5,25,75,95,100

Percentiles

50 100 km

N

  • Cu [mg/kg]

> 13 <= 13

50 100 km

N

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Summary

  • DAS+R is user friendly
  • enables to construct complicated R-commands via the GUI
  • high repeatability (fast prototyping)
  • using of subsets (of variables/observations)
  • emphasis on graphical analysis.
  • Finally:

Embedding of new functions should not be diffi- cult!!!! 44

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Outlook

To do:

  • Complete intended methodology
  • Enter all the subsets functionalities in the procedures where

applicable

  • Remove most of the bugs
  • Fill all help buttons
  • Submit the package to CRAN.

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