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2018 | OriginalPaper | Chapter

13. GIS-Based Data Synthesis and Visualization

Authors : Duccio Rocchini, Carol X. Garzon-Lopez, A. Marcia Barbosa, Luca Delucchi, Jonathan E. Olandi, Matteo Marcantonio, Lucy Bastin, Martin Wegmann

Published in: Ecological Informatics

Publisher: Springer International Publishing

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Abstract

Synthesizing and properly visualizing data in 2D systems is a key issue when aiming at explaining spatial patterns by spatial processes.
In this chapter we address the topics synthesis and visualization in relation to following ecological issues: (1) synthesizing species distribution models relying on virtual species, (2) visualizing spatial uncertainty in species distribution based on cartograms, (3) fuzzy methods to synthesize species distribution uncertainty, (4) remote sensing data synthesis by exploratory analysis and replotting data in new systems, (5) measuring and visualizing ecological diversity from space based on generalized entropy, and (6) neutral landscape for testing ecological theories. We will make use of examples from the free and open source software GRASS GIS and R.

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previous chapter Multivariate Data Analysis by Means of Self-Organizing Maps
next chapter Communicating and Disseminating Research Findings
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Metadata
Title
GIS-Based Data Synthesis and Visualization
Authors
Duccio Rocchini
Carol X. Garzon-Lopez
A. Marcia Barbosa
Luca Delucchi
Jonathan E. Olandi
Matteo Marcantonio
Lucy Bastin
Martin Wegmann
Copyright Year
2018
Book
Ecological Informatics

Print ISBN: 978-3-319-59926-7

Electronic ISBN: 978-3-319-59928-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-59928-1_13