In the last decades researchers investigated the possibility of extending the information collected in sampling units during a field survey to wider geographical areas through the use of remotely sensed images. One of the most widely adopted approaches is based on the non-parametric k-Nearest Neighbors (k-NN) algorithm. This contribution describes the software K-NN FOREST we developed to provide a complete tool for the implementation of the k-NN technique to generate spatially explicit estimations (maps) of a response variable acquired in the field by sampling units through the use of remotely sensed data or other ancillary variables. K-NN FOREST is designed to guide the user through a graphic user interface in the different phases of the process. K-NN FOREST is freely available for download and it is designed to run under Windows environment in conjunction with the GIS software IDRISI.

K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k-Nearest Neighbors algorithm / G. Chirici; P. Corona; M. Marchetti; A. Mastronardi; F. Maselli; L. Bottai; D. Travaglini. - In: EUROPEAN JOURNAL OF REMOTE SENSING. - ISSN 2279-7254. - ELETTRONICO. - 45(2012), pp. 433-442. [10.5721/EuJRS20124536]

K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k-Nearest Neighbors algorithm

CHIRICI, GHERARDO;TRAVAGLINI, DAVIDE
2012

Abstract

In the last decades researchers investigated the possibility of extending the information collected in sampling units during a field survey to wider geographical areas through the use of remotely sensed images. One of the most widely adopted approaches is based on the non-parametric k-Nearest Neighbors (k-NN) algorithm. This contribution describes the software K-NN FOREST we developed to provide a complete tool for the implementation of the k-NN technique to generate spatially explicit estimations (maps) of a response variable acquired in the field by sampling units through the use of remotely sensed data or other ancillary variables. K-NN FOREST is designed to guide the user through a graphic user interface in the different phases of the process. K-NN FOREST is freely available for download and it is designed to run under Windows environment in conjunction with the GIS software IDRISI.
45
433
442
G. Chirici; P. Corona; M. Marchetti; A. Mastronardi; F. Maselli; L. Bottai; D. Travaglini
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2158/774231
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