Breaking Out of Cell Prison: Aggregate Cell Constructs

1999-06-08


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Table of Contents

Breaking Out of Cell Prison: Aggregate Cell Constructs

A provocation by:

Network of Experts [N/X]

I am currently working on Aggregate Pixel Constructs in GIS

Multivariate modeling applications

The Alternative Futures Framework

The Problem: envisioning large multivariate spatial datasets

Local Table Maps (LTM)

[? Local Table Map: with the Geography ?]

Local Table Maps allow us to map and record

Discussion: The rise of the Pixel --

There are however severe limitations to using the single pixel --

Aggregate Pixel Constructs

moving away from the single cell to cell aggregates enables the deployment of visual variables such as:

Aggregate pixel designs have a special ability to take into account

Therefore the aggregate-cell-map maker has control over designing elements of interpretation

Tufte stresses in his book: „Escaping (this) flatland is the essential task of envisioning information∑š

Creation of cell aggregates

In these image-maps the basic assumption of each cell representing a single location is relaxed to permit multiple cells per original location

The key step in the procedure

The addressing system is created using spatial, arithmetic and logic operations

Use

The resultant maps reveal macro interaction patterns,

Local table maps represent an interesting cross

In reading a local table map, there is an emphasis on comparing between the variables that are depicted on the map

Our LTM shows from 6 to 9 variables:

Aggregate Cell Constructs using GIS are applicable not only to maps,

the term Spatialization

Selected references

The term GRASP

Selected references

Examples

Concluding comments --

The aggregate cell model is unique in that it approaches the map overlay problem in a non-standard way;

Possible Applications for Local Table Maps:

Where Data can be:

With proper variable selection, graphic design, and colorization

Local Table Maps represent an interesting table/map (in image format) hybrid information representation

The two research thrusts: Aggregate Cell Constructs and Spatialization

Acknowledgements

Thank You

Author: UserId