Contents:


Introduction

Run Descartes
How to run Descartes
Data format
First start

Appearance

Looking up attribute values

Dynamic linking

Decision support

Cartographic visualization
Choropleth maps
Degrees of darkness
Removal of outliers from presentation
Classification
Standalone bars
Color
Parallel bars
Pies
Triangles
Utility bars
Utility wheels

Noncartographic visualization
Dot plot (horizontal and vertical)
Scatter plot
Scatter plot matrix
Parallel coordinates plot
Classifier (horizontal and vertical)
General Information

Calculation as arithmetic
Sum of columns
Percentages and ratios
Change and difference

Calculation as statistic
Average among columns
Variance among columns
Count value occurrences

Calculation as decision support
Integrated criterion
Values -> Order

Calculation as multivariable analysis
Similarity (distance)
Similarity (classification)
Dominant attribute classification

Query
Dynamic query
List of objects
 

Work with raster data

Visualisation of raster data
Transformations of rasters
Analysis of raster data