Spatio-temporal visualisation and data exploration of traditional ecological knowledge/indigenous knowledge
| hal.structure.identifier | University of Canterbury [Christchurch] | |
| dc.contributor.author | MACKENZIE, Kierin | |
| hal.structure.identifier | Universidad Politécnica de Madrid [UPM] | |
| dc.contributor.author | SIABATO, Willington | |
| hal.structure.identifier | University of Canterbury [Christchurch] | |
| dc.contributor.author | REITSMA, Femke | |
| hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
| dc.contributor.author | CLARAMUNT, Christophe | |
| dc.date.accessioned | 2021-05-14T09:50:57Z | |
| dc.date.available | 2021-05-14T09:50:57Z | |
| dc.date.issued | 2017 | |
| dc.identifier.issn | 0972-4923 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/77336 | |
| dc.description.abstractEn | Traditional Ecological Knowledge (TEK) has been at the centre of mapping efforts for decades. Indigenous knowledge (IK) is a critical subset of TEK, and Indigenous peoples utilize a wide variety of techniques for keeping track of time. Although techniques for mapping and visualizing the temporal aspects of TEK/IK have been utilized, the spatio-temporal dimensions of TEK are not well explored visually outside of seasonal data and narrative approaches. Existing spatio-temporal models can add new visualization approaches for TEK but are limited by ontological constraints regarding time, particularly the poor support for multi-cyclical data and localized timing. For TEK to be well represented, flexible systems are needed for modelling and mapping time that correspond well with traditional conceptions of time being supported. These approaches can take cues from previous spatio-temporal visualization work in the GIS community, and from temporal depictions extant in existing cultural traditions. | |
| dc.language.iso | en | |
| dc.publisher | Medknow Publications | |
| dc.subject.en | Data exploration | |
| dc.subject.en | Modelling | |
| dc.subject.en | Cyclical time | |
| dc.subject.en | Traditional ecological knowledge (TEK) | |
| dc.subject.en | Indigenous knowledge (IK) | |
| dc.subject.en | Visualization | |
| dc.subject.en | Spatio-temporal data | |
| dc.title.en | Spatio-temporal visualisation and data exploration of traditional ecological knowledge/indigenous knowledge | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.4103/0972-4923.201391 | |
| dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | |
| dc.subject.hal | Informatique [cs]/Modélisation et simulation | |
| dc.subject.hal | Sciences de l'environnement/Environnement et Société | |
| dc.subject.hal | Sciences de l'Homme et Société/Sciences de l'information et de la communication | |
| bordeaux.journal | Conservation and Society | |
| bordeaux.page | 41-58 | |
| bordeaux.volume | 15 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.issue | 1 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01527576 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01527576v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Conservation%20and%20Society&rft.date=2017&rft.volume=15&rft.issue=1&rft.spage=41-58&rft.epage=41-58&rft.eissn=0972-4923&rft.issn=0972-4923&rft.au=MACKENZIE,%20Kierin&SIABATO,%20Willington&REITSMA,%20Femke&CLARAMUNT,%20Christophe&rft.genre=article |
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