Modeling Salient Features as Directions for Place Recommender Systems
Mina Karimi
GIS Department, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
Mohammad Saadi Mesgari
GIS Department, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
Ross Stuart Purves
Department of Geography, University of Zurich, Zurich, Switzerland
Omid Reza Abbasi
GIS Department, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
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Frank Techel, Stephanie Mayer, Ross S. Purves, Günter Schmudlach, and Kurt Winkler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-158, https://doi.org/10.5194/nhess-2024-158, 2024
Preprint under review for NHESS
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We evaluate fully data- and model-driven predictions of avalanche danger in Switzerland and compare them with human-made avalanche forecasts as a benchmark. We show that model predictions perform similarly to human forecasts calling for a systematic integration of forecast chains into the forecasting process.
Inhye Kong, Jan Seibert, and Ross S. Purves
EGUsphere, https://doi.org/10.5194/egusphere-2024-1844, https://doi.org/10.5194/egusphere-2024-1844, 2024
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This study explores the timing and content of media coverage (i.e., newspaper articles) of droughts in England. We found that media coverage generally coincides with meteorological drought, but the inverse case did not always generate media coverage. Dominant topics include the water deficiency and weather forecasts, but also the mismanagement of water companies and hosepipe bans, highlighting current challenges in water management practices in England.
Inhye Kong and Ross S. Purves
AGILE GIScience Ser., 5, 33, https://doi.org/10.5194/agile-giss-5-33-2024, https://doi.org/10.5194/agile-giss-5-33-2024, 2024
M. Marjani and M. S. Mesgari
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 483–488, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-483-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-483-2023, 2023
N. Mohammadi, M. S. Mesgari, and A. Klein-Paste
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W2-2022, 71–78, https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-71-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-71-2023, 2023
Stefan S. Ivanovic and Ross Purves
AGILE GIScience Ser., 3, 39, https://doi.org/10.5194/agile-giss-3-39-2022, https://doi.org/10.5194/agile-giss-3-39-2022, 2022
Veronika Hutter, Frank Techel, and Ross S. Purves
Nat. Hazards Earth Syst. Sci., 21, 3879–3897, https://doi.org/10.5194/nhess-21-3879-2021, https://doi.org/10.5194/nhess-21-3879-2021, 2021
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How is avalanche danger described in public avalanche forecasts? We analyzed 6000 textual descriptions of avalanche danger in Switzerland, taking the perspective of the forecaster. Avalanche danger was described rather consistently, although the results highlight the difficulty of communicating conditions that are neither rare nor frequent, neither small nor large. The study may help to refine the ways in which avalanche danger could be communicated to the public.
M. Davoodi, M. Malekpour Golsefidi, and M. S. Mesgari
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 293–297, https://doi.org/10.5194/isprs-archives-XLII-4-W18-293-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-293-2019, 2019
N. Mahdizadeh Gharakhanlou and M. S. Mesgari
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 697–702, https://doi.org/10.5194/isprs-archives-XLII-4-W18-697-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-697-2019, 2019
Natalia Andrienko, Gennady Andrienko, Siming Chen, Dirk Burghardt, Alexander Dunkel, and Ross Purves
Abstr. Int. Cartogr. Assoc., 1, 10, https://doi.org/10.5194/ica-abs-1-10-2019, https://doi.org/10.5194/ica-abs-1-10-2019, 2019
Frank Techel, Christoph Mitterer, Elisabetta Ceaglio, Cécile Coléou, Samuel Morin, Francesca Rastelli, and Ross S. Purves
Nat. Hazards Earth Syst. Sci., 18, 2697–2716, https://doi.org/10.5194/nhess-18-2697-2018, https://doi.org/10.5194/nhess-18-2697-2018, 2018
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In 1993, the European Avalanche Warning Services agreed upon a common danger scale to describe the regional avalanche hazard: the European Avalanche Danger Scale. Using published avalanche forecasts, we explored whether forecasters use the scale consistently. We noted differences in the use of the danger levels, some of which could be linked to the size of the regions a regional danger level is issued for. We recommend further harmonizing the avalanche forecast products in the Alps.
Muriel Côte, Flurina Wartmann, and Ross Purves
Geogr. Helv., 73, 253–260, https://doi.org/10.5194/gh-73-253-2018, https://doi.org/10.5194/gh-73-253-2018, 2018
Jochen Veitinger, Ross Stuart Purves, and Betty Sovilla
Nat. Hazards Earth Syst. Sci., 16, 2211–2225, https://doi.org/10.5194/nhess-16-2211-2016, https://doi.org/10.5194/nhess-16-2211-2016, 2016
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Avalanche hazard assessment requires a very precise estimation of the potential starting zone, which nowadays still depends, to a large extent, on expert judgement of avalanches. Therefore, a new algorithm for automated identification of potential avalanche release areas was developed. Potential avalanche release areas can be defined for varying snow accumulation scenarios, improving the automated estimation of release areas, in particular for frequent avalanches.
V. Wirz, S. Gruber, R. S. Purves, J. Beutel, I. Gärtner-Roer, S. Gubler, and A. Vieli
Earth Surf. Dynam., 4, 103–123, https://doi.org/10.5194/esurf-4-103-2016, https://doi.org/10.5194/esurf-4-103-2016, 2016
V. Wirz, J. Beutel, S. Gruber, S. Gubler, and R. S. Purves
Nat. Hazards Earth Syst. Sci., 14, 2503–2520, https://doi.org/10.5194/nhess-14-2503-2014, https://doi.org/10.5194/nhess-14-2503-2014, 2014
J. Veitinger, B. Sovilla, and R. S. Purves
The Cryosphere, 8, 547–569, https://doi.org/10.5194/tc-8-547-2014, https://doi.org/10.5194/tc-8-547-2014, 2014