tspan: Exploratory point pattern analysis.
In pauarago/tweet2r: Twitter Collector for R and Export to 'SQLite', 'postGIS' and 'GIS' Format

Description Usage Arguments Details Value Author(s) References See Also Examples

This function is design to provide an exploratory point pattern analysis. Is base on spatstat package a to do a basic point pattern analysis of Homogeneous an Inhomogeneous Poisson.

1	tspan(geotweets,bw, cont, acontour)

`geotweets`	Geotagged tweets as a SpatialPointsDataFrame or a SpatialPointsDataFrame.
`bw`	Bandwith for Kernel Smoothed Intensity. Note that if you are using directly geotweets coming from `tweet2r` and `t2SpatialPointDataFrame` units are degrees.
`cont`	FALSE by default, geotweets bounding box provide the contour. If TRUE a contour must be provided
`acontour`	Optional. A Spatial object with a defined bbox.

In order to do a wider point pattern analysis is better to use directly the spatstat package

`tweetspphp`	Simpliest Object of class "ppp" representing a point pattern dataset in the two-dimensional plane with no marks, (`ppp`)
`hp`	Homogeneous Poisson fitted point process model to an observed point pattern (`ppm`).
`ihp`	Inhomogeneous Poisson fitted point process model to an observed point pattern (`ppm`).
`int`	Computed kernel smoothed intensity function from a point pattern. (`density.ppp`).

Pau Arag<c3><b3>

Baddeley, Adrian, y Rolf Turner. <c2><ab>Spatstat: An R Package for Analyzing Spatial Point Patterns<c2><bb>. Journal of Statistical Software 12, n.<c2><ba> 6 (2005). doi:10.18637/jss.v012.i06. http://www.jstatsoft.org/v12/i06/

spatstat

library(sp)
library(spatstat)

#loada a SpatialPointsDataFrame
data("meuse.grid_ll")


# run function without contour
tspan(meuse.grid_ll,bw=0.0005)

#providing a contour as SpatialPointDataFrame
data("meuse.area")

#build the acontour layer 
cont<-SpatialPoints(meuse.area, proj4string = CRS("+init=epsg:28992"))
#transform to meuse.grid_ll reference system
cont<-spTransform(cont, CRS("+init=epsg:4326"))

# run function with contour
tspan(meuse.grid_ll,bw=0.0005, cont = TRUE, acontour=cont)
{
  }