Digital repeat photography has the potential to become an important long-term data source for phenological research given its advantages in terms of logistics, continuity, consistency and objectivity over traditional assessments of vegetation status by human observers.
From its 1994 inception, climate scientists viewed NPOESS, meant to be operational until 2018, as a crucial, long- term data source.
The Weibull probability distribution function using a long-term data source, consisting of 6 years (2005 2010) of 3-h period measured mean wind data, is adopted and analyzed.
The Weibull probability distribution function is employed using a long-term data source consisting of 6 years (2005 2010) of 3-h period measured mean wind data, taken at a height of 10 m aboveground level.
For each vocabulary-based gene-by-term data source, we create a kernel matrix using the linear kernel function and the kernel normalization method proposed by (Shawe-Taylor and Cristianini, 2004), (Chapter 5).
Related in terms of data sources, let us also mention efforts to mine spatial trajectories of taxi mobility in the field of urban computing [6 8].
The transparency of models in terms of data sources and model structures is recognised by most authors as a crucial issue for the future deployment of the models.
Future studies should focus on developing composite indexes incorporate multiple search terms, or data sources (such as weather data).
In this paper we focus on the task of term identification, which goes beyond NER to also include term mapping, i.e. the linking of terms to reference data sources.
This paper describes the design and development of such a model for the Canadian province of Alberta in terms of its data sources, novelty, and strategies for further calibration.
