Handbook of Geospatial Artificial Intelligence

18Reproducibility and Replicability in GeoAI

Peter Kedron, Tyler D. Hoffman, and Sarah Bardin

School of Geographical Sciences and Urban Planning, Arizona State University

DOI: 10.1201/9781003308423-18

CONTENTS

• 18.1 Introduction

• 18.2 The Scientific Investigation of GeoAI

  1. 18.2.1 GeoAI Methods and Applications

  2. 18.2.2 The Scientific Investigation of GeoAI

  3. 18.2.3 Reproducing and Replicating GeoAI Research

• 18.3 Facilitating the Reproducibility of GeoAI Research by Sharing Provenance Information

  1. 18.3.1 Study Design

  2. 18.3.2 Spatial Data, Data Processing, and Metadata

  3. 18.3.3 Analytical Procedures and Code

  4. 18.3.4 Computational Environment

• 18.4 A Research Agenda to Improve the Reproducibility and Replicability of GeoAI

  1. 18.4.1 Research Directions ...