Spatial gems are computational techniques for processing spatial data. This book, a follow-up to the first Spatial Gems volume, is a further collection of techniques contributed by leading research experts. Although these approaches were developed by their authors as part of larger research projects, the gems represent fundamental solutions that are generically applicable to many different problems. Our goal is to expose these useful techniques that are not yet in textbooks and often buried inside technical research papers to share them with software developers, graduate students, professors, and professional researchers.
Over de auteur
Andreas Züfle is an associate professor at George Mason University, USA. He received his Ph.D. in Computer Science at Ludwig Maximilian University of Munich, Germany (LMU), in 2013. Dr. Züfle’s research focuses on data management. He is mainly known for his contribution to the field of geospatial data management and mining. In this area, he has made contributions in several subareas, notably uncertain data management, spatial indexing, clustering, and geosimulation. His interdisciplinary work has applications in geosciences, transportation, epidemiology, and social science.
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