[CV2-1] Data sources for mapping

As mapping ( geo-data visualization) is intended to convey a certain message to a certain audience, it is essential to use data sources that allow the intended visualisation result. The data should be of the right degree of detail and its use should not cause copyright problems. The producer quality of each data set should be taken into account, as well as the fitness of the data for the intended use. Aspects: message; data quality

Introduction

this is the new version of the concept proposed

As mapping ( geo-data visualization) is intended to convey a certain message to a certain audience, it is essential to use data sources that allow the intended visualisation result. In this context, data sources are systematically enlisted, their properties detailed and each source appraised for the purposes of monitoring.  The data should be of the right degree of detail and its use should not cause copyright problems. The producer quality of each data set should be taken into account, as well as the fitness of the data for the intended use. At the moment no adequate procedures seem to be implemented  to harmonize the quality of  spatial data for specific purposes.  In the past data were originated mainly from traditional map digitization and measurement input. Nowadays the main data source for include imagery, video radar and GPS data which are generated from satellite, airplane UAV and  measurement vehicles. Social media and services are considered a new information sources for example of early response and crisis management.

Type of data sources for mapping:

  • Own data: Such data are hosted on a company’s server and native computing infrastructure. 
  • Cloud-Based data: This cloud technology will help to perform data mapping projects.
  • Open-Source: Open-source data provides a low-cost alternative to the own data mapping solutions.

Learning outcomes

Self assessment

In progress (GI-N2K)

Outgoing relations

Contributors