The K-nearest neighbors (K-NN) is an analogous approach. This method has its origin as a non-parametric statistical pattern recognition procedure to distinguish between different patterns according to a selection criterion. Through this method, researchers can generate future data. In other words, the KNN is a technique that conditionally resamples the values from the observed record based on the conditional relationship specied. The KNN is most simple approach.

The most promising non-parametric technique for generating weather data is the K-nearest neighbor (K-NN) resampling approach. The K-NN method is based on recognizing a similar pattern of target le within the historical observed weather data which could be used as reduction of the target year (Young, 1994; Yates, 2003; Eum et al., 2010). The target year is the initial seed of data which, together with the historical data, are required as

input les for running the model. This method relies on the assumption that the actual weather data observed during the target year could be a replication of weather recorded in the past. The k-NN technique does not use any predened mathematical functions to estimate a target variable.

Actually, the algorithm of this method typically involves selecting a specied number of days similar in characteristics to the day of interest. One of these days is randomly resampled to represent the weather of the next day in the simulation period. The nearest neighbor approach involves simultaneous sampling of the weather variables, such as precipitation and temperature. The sampling is carried out from the observed data, with replacement.

The K-NN method is widely used in agriculture (Bannayan and Hoogenboom, 2009), forestry (Lopez et al., 2001) and hydrology (Clark et al., 2004; Yates et al., 2003).

Assessment and Monitoring Drought
Meteorological droughts, which is caused by a decit in precipitation with respect to the climatological average for a given period and region. To measuring the value of drought, we need a useful tool. Therefore, to quantitative analysis of drought characteristics and of research works on impact of climate change on droughts, we should monitor and assess the value of drought indices. Drought indices are often used for detecting the early onset and end of droughts. Meteorological drought indices are useful tools for indicating the amount of drought changes in different time scale. Therefore, it is essential that the users can easily calculate
these indices through a software. The RDIT software application can perform and run the eight rain-based drought indices in a user-friendly tool. By plotting various graphs, this software can help to the users for better interpreting the results.
What Is Severity Of Drought?
To advance the understanding of monitoring and investigating droughts in the past, it is crucial to assess drought frequency and severity. Each drought is defined in drought duration, drought severity, and drought interval. The onset, the end, and the severity of the drought are important features of drought monitoring.
If the user wants to indicate the value of severity, actually it is not an easy process. It is so important when the user wants to analyze the severity of drought. In RDIT software, the user can easily calculate and plot the amount of severity.

Guitar and bass is a FREE software for fretted instruments, such as Guitar, Bass, Banjo, and Mandolin. (New instruments and tunings can be added too).

You’ll get everything a musician need, including: Scale/chords/intervals references and exercises. A Tablature viewer and editor. Ear training exercises. And practice tools.

Features:
– It’s FREE !
– Supports various instruments, tunings. Guitar (6, 7 string), Bass (4, 5 string), Banjo (4, 5 string), and Mandolin are supported by default.
– New instruments, tunings, chords and scales can be added easily.
– Complete scale/chords/keys reference.
– Tab editor with a Tab library function. Quickly browse all your tabs.
– Theory exercises.
– Ear training exercises: Chords, scales, keys, intervals, and fretboard notes. Great for any musician!
– Fretboard notes exercises: Learn the notes on the fretboard.
– Advanced metronome.
– Jam band: Quickly write a chord progression and play over it with this tool.
– Audio samples from real guitars used.