GIS-based data synthesis and visualization

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

doi:10.1007/978-3-319-59928-1_13

GIS-based data synthesis and visualization

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

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Chapter

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.

Original language	English
Title of host publication	Ecological Informatics
Subtitle of host publication	Data Management and Knowledge Discovery: Third Edition
Publisher	Springer
Pages	273-286
Number of pages	14
ISBN (Electronic)	9783319599281
ISBN (Print)	9783319599267
DOIs	https://doi.org/10.1007/978-3-319-59928-1_13
Publication status	Published - 21 Oct 2017

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AU - Rocchini, Duccio

AU - Garzon-Lopez, Carol X.

AU - Barbosa, A. Marcia

AU - Delucchi, Luca

AU - Olandi, Jonathan E.

AU - Marcantonio, Matteo

AU - Bastin, Lucy

AU - Wegmann, Martin

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AB - 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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GIS-based data synthesis and visualization

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