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/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationEcological Informatics
Subtitle of host publicationData Management and Knowledge Discovery: Third Edition
PublisherSpringer International Publishing AG
Pages273-286
Number of pages14
ISBN (Electronic)9783319599281
ISBN (Print)9783319599267
DOIs
Publication statusPublished - 21 Oct 2017

Fingerprint

Geographic information systems
Uncertainty
visualization
Visualization
biogeography
GIS
synthesis
Entropy
uncertainty
Remote sensing
Software
cartogram
entropy
ecological theory
remote sensing
Testing
software
testing
distribution
methodology

Cite this

Rocchini, D., Garzon-Lopez, C. X., Barbosa, A. M., Delucchi, L., Olandi, J. E., Marcantonio, M., ... Wegmann, M. (2017). GIS-based data synthesis and visualization. In Ecological Informatics: Data Management and Knowledge Discovery: Third Edition (pp. 273-286). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-59928-1_13
Rocchini, Duccio ; Garzon-Lopez, Carol X. ; Barbosa, A. Marcia ; Delucchi, Luca ; Olandi, Jonathan E. ; Marcantonio, Matteo ; Bastin, Lucy ; Wegmann, Martin. / GIS-based data synthesis and visualization. Ecological Informatics: Data Management and Knowledge Discovery: Third Edition. Springer International Publishing AG, 2017. pp. 273-286
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author = "Duccio Rocchini and Garzon-Lopez, {Carol X.} and Barbosa, {A. Marcia} and Luca Delucchi and Olandi, {Jonathan E.} and Matteo Marcantonio and Lucy Bastin and Martin Wegmann",
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Rocchini, D, Garzon-Lopez, CX, Barbosa, AM, Delucchi, L, Olandi, JE, Marcantonio, M, Bastin, L & Wegmann, M 2017, GIS-based data synthesis and visualization. in Ecological Informatics: Data Management and Knowledge Discovery: Third Edition. Springer International Publishing AG, pp. 273-286. https://doi.org/10.1007/978-3-319-59928-1_13

GIS-based data synthesis and visualization. / Rocchini, Duccio; Garzon-Lopez, Carol X.; Barbosa, A. Marcia; Delucchi, Luca; Olandi, Jonathan E.; Marcantonio, Matteo; Bastin, Lucy; Wegmann, Martin.

Ecological Informatics: Data Management and Knowledge Discovery: Third Edition. Springer International Publishing AG, 2017. p. 273-286.

Research output: Chapter in Book/Report/Conference proceedingChapter

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T1 - GIS-based data synthesis and visualization

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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Y1 - 2017/10/21

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SP - 273

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BT - Ecological Informatics

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Rocchini D, Garzon-Lopez CX, Barbosa AM, Delucchi L, Olandi JE, Marcantonio M et al. GIS-based data synthesis and visualization. In Ecological Informatics: Data Management and Knowledge Discovery: Third Edition. Springer International Publishing AG. 2017. p. 273-286 https://doi.org/10.1007/978-3-319-59928-1_13