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.

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Yes, you can access ACM Books by John Krumm,Andreas Züfle,Cyrus Shahabi in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Algorithms. We have over one million books available in our catalogue for you to explore.

Information

Publisher

ACM Books

Year

2024

ISBN

9798400709357

Edition

Topic

Computer Science

Subtopic

Programming Algorithms

Index

Computer Science

Cover
Halftitle
Title Page
Copyright Page
Contents
Preface
Chapter 1 Graph Sampling for Map Comparison
Chapter 2 Fast 3D Euclidean Connected Components
Chapter 3 Multiscale Aggregation Over Sliding Windows
Chapter 4 Gaussian Process for Trajectories
Chapter 5 Mean Chord Length of a Square
Chapter 6 Object Delineation in Satellite Images
Chapter 7 Implementing Simulation of Simplicity for Geometric Degeneracies
Chapter 8 Probabilistic Counting in Uncertain Spatial Databases Using Generating Functions
Chapter 9 Statistics for All Walks on a Lattice Graph
Chapter 10 Online Heatmap Generation with Both High and Low Weights
Authors’ Biographies
Index