Fi.S.A.R.: a data-managing and processing software for automated telemetry systems. (Articolo in rivista)

Type
Label
  • Fi.S.A.R.: a data-managing and processing software for automated telemetry systems. (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.4031/002533206787353592 (literal)
Alternative label
  • GIACALONE V.M., GAROFALO G., D'ANNA G., BADALAMENTI F., PIPITONE C., (2006)
    Fi.S.A.R.: a data-managing and processing software for automated telemetry systems.
    in Marine Technology Society journal
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • GIACALONE V.M., GAROFALO G., D'ANNA G., BADALAMENTI F., PIPITONE C., (literal)
Pagina inizio
  • 47 (literal)
Pagina fine
  • 50 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 40(1) (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IAMC, Sede di Castellammare del Golfo, via G. da Verrazzano 17, 91014 Castellammare del Golfo (TP) CNR-IAMC, UOS di Mazara del Vallo, via Luigi Vaccara 61, 91026 Mazara del Vallo (TP) (literal)
Titolo
  • Fi.S.A.R.: a data-managing and processing software for automated telemetry systems. (literal)
Abstract
  • Ultrasonic telemetry systems are increasingly used in studies on the behavioral ecology of marine and freshwater animals. Systems based on automated omnidirectional receivers in particular offer a powwerful and relatively cheap tool to provide presence/absence data of tagged animals, but they do not provide the geographic position of the transmitters. In this paper a new software called FiSAR (Fish finder Software for Automated Receivers), developed for application with Vemco VR1/VR2 receivers, is presented (available at ww.marecofree.org/download asp). FiSAR is able to manage large datasets as well as to calculate the acitivity center of each transmitter from simple presence/absence data. This is achieved through (1) the collation of the data collected by each receiver in a unique MS Access cross-table, and (2) the use of the Simpfendorfer et al. (2002) algorithm. The resulting cross-table can be easily exported to most statistical packages fro further analysis. (literal)
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