[R-sig-Geo] Impute missing value using k nearest neighbour

[Frede Aakmann Tøgersen]

Hi

One method is from DMwR  package (https://cran.r-project.org/web/packages/DMwR/DMwR.pdf) :

knnImputation

Fill in NA values with the values of the nearest neighbours

Description

Function that fills in all NA values using the k Nearest Neighbours of each case with NA values.
By default it uses the values of the neighbours and obtains an weighted (by the distance to the case)
average of their values to fill in the unknows.  If meth=’median’ it uses the median/most frequent
value, instead.

Usage
knnImputation(data, k = 10, scale = T, meth = "weighAvg", distData = NULL)

Yours sincerely / Med venlig hilsen

Frede Aakmann Tøgersen
Specialist, M.Sc., Ph.D.
Plant Performance & Modeling

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From: R-sig-Geo [mailto:r-sig-geo-bounces at r-project.org] On Behalf Of Metastate Metastate
Sent: 25. august 2015 05:05
To: r-sig-geo at r-project.org
Subject: [R-sig-Geo] Impute missing value using k nearest neighbour

Hi,

I have a data set with location ID (FIPS), latitude and longitude of the location, V1 to v3 that are some features for relevant location. The dataset have more than 3000 locations.  Please see the attached file for a small sample. In the sample file, you can see there are some missing values for V2 and V3 at FIPS of 26089. Does anyone know any r package that can impute the missing values based on k nearest neighbor using the distance matrix calculated from latitude and longitude?

Really appreciation for your kindly help or suggestion.

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