KNN-WG 1.0
Free Trial Version
Publisher Description
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).
About KNN-WG
KNN-WG is a free trial software published in the Science list of programs, part of Education.
This Science program is available in English. It was last updated on 05 March, 2024. KNN-WG is compatible with the following operating systems: Windows.
The company that develops KNN-WG is AgriMetSoft. The latest version released by its developer is 1.0. This version was rated by 7 users of our site and has an average rating of 2.9.
The download we have available for KNN-WG has a file size of 67.11 MB. Just click the green Download button above to start the downloading process. The program is listed on our website since 2017-01-01 and was downloaded 511 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded software with your antivirus. Your antivirus may detect the KNN-WG as malware if the download link is broken.
How to install KNN-WG on your Windows device:
- Click on the Download button on our website. This will start the download from the website of the developer.
- Once the KNN-WG is downloaded click on it to start the setup process (assuming you are on a desktop computer).
- When the installation is finished you should be able to see and run the program.