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Forecasting, Volume 2, Issue 3

September 2020 - 9 articles

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Articles (9)

  • Article
  • Open Access
5 Citations
3,790 Views
23 Pages

Time Series Analysis of Forest Dynamics at the Ecoregion Level

  • Olga Rumyantseva,
  • Andrey Sarantsev and
  • Nikolay Strigul

11 September 2020

Forecasting of forest dynamics at a large scale is essential for land use management, global climate change and biogeochemistry modeling. We develop time series models of the forest dynamics in the conterminous United States based on forest inventory...

  • Review
  • Open Access
22 Citations
21,601 Views
18 Pages

2 September 2020

Population projections serve various actors at subnational, national, and international levels as a quantitative basis for political and economic decision-making. Usually, the users are no experts in statistics or forecasting and therefore lack the m...

  • Article
  • Open Access
11 Citations
4,802 Views
14 Pages

28 August 2020

Bus travel time analysis plays a key role in transit operation planning, and methods are needed for investigating its variability and for forecasting need. Nowadays, telematics is opening up new opportunities, given that large datasets can be gathere...

  • Article
  • Open Access
20 Citations
7,582 Views
24 Pages

28 August 2020

Hydrological extremes associated with climate change are becoming an increasing concern all over the world. Frequent flooding, one of the extremes, needs to be analyzed while considering climate change to mitigate flood risk. This study forecast stre...

  • Article
  • Open Access
1 Citations
3,566 Views
25 Pages

11 August 2020

We propose to view social conflicts in Africa as having similarities with earthquake occurrences and hence to consider the spatial-temporal Epidemic Type Aftershock Sequence (ETAS) model. The parameters of this highly parameterized model are estimate...

  • Article
  • Open Access
22 Citations
9,524 Views
17 Pages

6 August 2020

Predicting the outcome of sales opportunities is a core part of successful business management. Conventionally, undertaking this prediction has relied mostly on subjective human evaluations in the process of sales decision-making. In this paper, we a...

  • Article
  • Open Access
63 Citations
9,108 Views
19 Pages

Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin

  • Md Abul Ehsan Bhuiyan,
  • Feifei Yang,
  • Nishan Kumar Biswas,
  • Saiful Haque Rahat and
  • Tahneen Jahan Neelam

25 July 2020

The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration,...

  • Article
  • Open Access
8 Citations
6,101 Views
18 Pages

Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region

  • Ganesh R. Ghimire,
  • Sanjib Sharma,
  • Jeeban Panthi,
  • Rocky Talchabhadel,
  • Binod Parajuli,
  • Piyush Dahal and
  • Rupesh Baniya

8 July 2020

Improving decision-making in various areas of water policy and management (e.g., flood and drought preparedness, reservoir operation and hydropower generation) requires skillful streamflow forecasts. Despite the recent advances in hydrometeorological...

  • Article
  • Open Access
11 Citations
3,959 Views
19 Pages

29 June 2020

This study, which was contracted by the European Commission and is geared towards easy replicability by practitioners, compares the accuracy of individual and combined approaches to forecasting tourism demand for the total European Union. The evaluat...

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Forecasting - ISSN 2571-9394