sdspatialpoints: Calculate Standard Deviation of Spatial Points
In nyu-mhealth/Mobility: Tools for Understanding Mobility Data
Description
Usage
Arguments
Value
Examples
View source: R/sdspatialpoints.R
Description
This function measures the distribution of spatial points by calculating standard deviation of
the distance between points and their centroid. Centroid is the mean longitude and latitute of
all the points provided. Distance is calculated based on Vincenty's great circle distance formula
with default unit as meters.
Usage
1
sdspatialpoints(df, coor = NULL, ...)
Arguments
df
a data frame object.
coor
longitude and latitude of the spatial points in the format of c("lon","lat").
Value
a number of standard deviation.
Examples
1
2
3
4
lon<- c(-70.1, -70.5, -70.3)
lat<- c(40.74, 40.75, 40.76)
lonlat<- data.frame(lon, lat)
sdspatialpoints(lonlat, coor = c("lon","lat"))
nyu-mhealth/Mobility documentation built on Feb. 24, 2020, 10:37 p.m.
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Description Usage Arguments Value Examples
View source: R/sdspatialpoints.R
Description
This function measures the distribution of spatial points by calculating standard deviation of the distance between points and their centroid. Centroid is the mean longitude and latitute of all the points provided. Distance is calculated based on Vincenty's great circle distance formula with default unit as meters.
Usage
1 | sdspatialpoints(df, coor = NULL, ...)
|
Arguments
df |
a data frame object. |
coor |
longitude and latitude of the spatial points in the format of c("lon","lat"). |
Value
a number of standard deviation.
Examples
1 2 3 4 | lon<- c(-70.1, -70.5, -70.3)
lat<- c(40.74, 40.75, 40.76)
lonlat<- data.frame(lon, lat)
sdspatialpoints(lonlat, coor = c("lon","lat"))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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