MACKENZIE, Kierin; SIABATO, Willington; REITSMA, Femke; CLARAMUNT, Christophe

doi:10.4103/0972-4923.201391

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MACKENZIE, Kierin
University of Canterbury [Christchurch]

SIABATO, Willington
Universidad Politécnica de Madrid [UPM]

REITSMA, Femke
University of Canterbury [Christchurch]

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Conservation and Society. 2017, vol. 15, n° 1, p. 41-58

Medknow Publications

Résumé en anglais

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.< Réduire

Mots clés en anglais

Data exploration

Modelling

Cyclical time

Traditional ecological knowledge (TEK)

Indigenous knowledge (IK)

Visualization

Spatio-temporal data

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Spatio-temporal visualisation and data exploration of traditional ecological knowledge/indigenous knowledge

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