ISPRS WG IV/3 (Spatial Data Analysis, Statistics and Uncertainty Modeling) Webinar
Lecture 1 - Prof. Michael Goodchild
Ethical issues in spatial data analysis
Many issues of an ethical nature arise in the practice of spatial data analysis. They include lack of information about data provenance and data uncertainty; inappropriate and mistaken inferences; invasion of individual privacy; and bias in the selection of data. I review a selection of these and argue for a more explicit recognition of ethical issues.
Lecture 2 - Prof. Alfred Stein
Publishing advances in spatial data quality
It is a challenge to start a new scientific journal, and to help make it a platform used by many for publishing the latest scientific findings. In this webinar, I will show how we initiated the journal Spatial Statistics and how it developed over the past 10 years. Relations with scientific domains will be explored.
Lecture 3 - Dr. Gerhard Navratil
Statistical Data Quality Descriptions and Concrete Questions
Descriptions of spatial data quality are based on statistical measures. The user, however, is interested in the fitness for use. Is this data set suitable for the question? Different approaches like error propagation or reputation assessment have been adopted. However, these concepts do not solve the basic problem: A statistical approach is only of limited value when dealing with a concrete situation. In the presentation, examples from navigations will be used to illustrate the problem.