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25 results on '"Matasci, Giona"'

7. Modeling the Shading Effect of Vancouver's Urban Tree Canopy in Relation to Neighborhood Variations.

Author

Yuhao Lu, McCarty, Justin, Sezto, Jeri, Zhaohua Cheng, Martino, Nicholas, Girling, Cynthia, Rysanek, Adam, Barron, Sara, and Matasci, Giona

Subjects
URBAN trees, URBAN density, BUILDING-integrated photovoltaic systems, TEMPERATURE control, GEOGRAPHIC information systems, EXTERIOR walls, TALL buildings
Abstract

Copyright of Arboriculture & Urban Forestry is the property of International Society of Arboriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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16. Spatio-temporal avalanche forecasting with support vector machines

Author

Pozdnoukhov, Alexei, Matasci, Giona, Kanevski, Mikhail, Purves, Ross S, Pozdnoukhov, Alexei, Matasci, Giona, Kanevski, Mikhail, and Purves, Ross S

Abstract

This paper explores the use of the Support Vector Machine (SVM) as a data exploration tool and a predictive engine for spatio-temporal forecasting of snow avalanches. Based on the historical observations of avalanche activity, meteorological conditions and snowpack observations in the field, an SVM is used to build a data-driven spatio-temporal forecast for the local mountain region. It incorporates the outputs of simple physics-based and statistical approaches used to interpolate meteorological and snowpack-related data over a digital elevation model of the region. The interpretation of the produced forecast is discussed, and the quality of the model is validated using observations and avalanche bulletins of the recent years. The insight into the model behaviour is presented to highlight the interpretability of the model, its abilities to produce reliable forecasts for individual avalanche paths and sensitivity to input data. Estimates of prediction uncertainty are obtained with ensemble forecasting. The case study was carried out using data from the avalanche forecasting service in the Locaber region of Scotland, where avalanches are forecast on a daily basis during the winter months.

Published
2011

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