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Erschienen in:

2018 | OriginalPaper | Buchkapitel

13. GIS-Based Data Synthesis and Visualization

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

Erschienen in: Ecological Informatics

Verlag: 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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Vorheriges Kapitel Multivariate Data Analysis by Means of Self-Organizing Maps

Nächstes Kapitel Communicating and Disseminating Research Findings

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Titel: GIS-Based Data Synthesis and Visualization
verfasst von: Duccio Rocchini
Carol X. Garzon-Lopez
A. Marcia Barbosa
Luca Delucchi
Jonathan E. Olandi
Matteo Marcantonio
Lucy Bastin
Martin Wegmann
Verlag: Springer International Publishing
Buch: Ecological Informatics
Print ISBN: 978-3-319-59926-7

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

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-59928-1_13

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