Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

ENM Components: a new set of web service-based workflow components for ecological niche modelling

De Giovanni, Renato, Williams, Alan R, Hernández Ernst, Vera, Kulawik, Robert, Quevedo Fernandez, Francisco and Hardisty, Alex ORCID: https://orcid.org/0000-0002-0767-4310 2016. ENM Components: a new set of web service-based workflow components for ecological niche modelling. Ecography 39 (4) , pp. 376-383. 10.1111/ecog.01552

[thumbnail of Ecography-ENMcomponentsmanuscript_v3.pdf]
Preview
PDF - Accepted Post-Print Version
Download (311kB) | Preview

Abstract

Ecological niche modelling (ENM) Components are a set of reusable workflow components specialized for performing ENM tasks within the Taverna workflow management system. Each component encapsulates specific functionality and can be combined with other components to facilitate the creation of larger and more complex workflows. One key distinguishing feature of ENM Components is that most tasks are performed remotely by calling web services, simplifying software setup and maintenance on the client side and allowing more powerful computing resources to be exploited. This paper presents the current set of ENM Components in the context of the Taverna family of tools for creating, publishing and sharing workflows. An example is included showing how the components can be used in a preliminary investigation of the effects of mixing different spatial resolutions in ENM experiments.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QA Mathematics > QA76 Computer software
Q Science > QH Natural history
Uncontrolled Keywords: workflow, biodiversity, ecology, informatics, software, virtual elaboratory, escience
Publisher: Wiley
ISSN: 0906-7590
Funders: EC FP7, grant agreement no. 283359
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 18 May 2015
Last Modified: 07 Nov 2023 21:09
URI: https://orca.cardiff.ac.uk/id/eprint/75548

Citation Data

Cited 12 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics