Open map List

Attribute accuracy

Introduction

We can identify two types of attribute accuracies. These relate to the type of data we are dealing with:

For nominal or categorical data, the accuracy of labelling (for example the type of land cover, road surface, etc).
For numerical data, numerical accuracy (such as the concentration of pollutants in a soil, height of trees in forests, etc).

It follows that depending on the data type, assessment of attribute accuracy may range from a simple check on the labelling of features - for example, is a road classified as a metalled road actually surfaced or not? - to complex statistical procedures for assessing the accuracy of numerical data, such as the percentage of pollutants present in a soil.

Learning outcomes

15 - Data quality: quality assessment

Student is abel to explain and apply quality assessment procedures (level 1, 2 and 3).

Prior knowledge

Data Quality

Outgoing relations

Attribute accuracy is based on Error matrix
Attribute accuracy is based on Sources of errors
Attribute accuracy is defined by Uncertainty
Attribute accuracy is part of Accuracy
Attribute accuracy is represented by RMSE

Learning paths