[CV2-2] Data processing

In the trajectory between raw (geo)data and their user-relevant representation, the necessary data processing includes ways of abstraction by selection, filtering, generalization, transformation and classification of geographical data. In this data processing it is essential to at one hand relate the final symbolisation to the necessities of the intended message, and at the other hand to procedures that introduce as little error as possible.

Introduction

New version 

 

Data processing can be defined as a workflow for visual representation from the input to the output through transformation of data.  In the trajectory between raw (geo)data and their user-relevant representation, the necessary data processing includes ways of abstraction by selection, filtering, generalization, transformation and classification of geographical data. In this data processing it is essential to at one hand relate the final symbolisation to the necessities of the intended message, and at the other hand to procedures that introduce as little error as possible. 

  • Increase data quality
  • Increase process efficiency
  • Reduce errors 
  • Easy/quick to accomplish the data processing

External resources

Skills

Status

In progress (GI-N2K)

Outgoing relations

Incoming relations

Contributors