CODEWITHSUNDEEP
rcluster-analysisgeospatialspatstat
Keith Helfrich
Keith Helfrich

Reputation: 77

space-time clustering :: point patterns in different spaces

By following these instructions from Thomas I have created a ppp object using the spatstat package in R.

Because my data set includes a time dimension, I want to expand this analysis to consider the 3D space-time for clustering analysis.

The SPATSTAT VERSION 2 Preliminary Announcement 6th revision, dated 9th February 2010, suggests this should be possible with the new R package spatstat2. The announcement says:

The new class pp of point patterns will support:

  • multiple marks attached to each point
    (e.g. trees can be marked by their species, diameter at breast height and leaf toxicity assay).
  • point patterns in different spaces,
    including 3D points, 2D space-time, 3D space-time, 1D networks in 2D space, different distance metrics
  • marks of ANY type
    (each mark can be a window, a point pattern, a function etc etc)

However, beyond the announcement, I cannot find many additional details about the anticipated spatstat2 package. And I also cannot install the package from CRAN:

package ‘spatstat2’ is not available (for R version 3.0.3)

My questions are:

  1. what are the best methods available in R for clustering analysis of events data (each event with geospatial coordinates X, Y, plus a Timestamp) ?

  2. what has come to pass with the spatstat2 package ? Is it available ?

Thank you for your help!

Keith Helfrich

Upvotes: 2

Views: 935

Answers (1)

Ege Rubak
Ege Rubak

Reputation: 4507

Regarding point 1: I'm no expert on this, but I think the package stpp on CRAN could be useful.

Regarding point 2: spatstat2 is definitely not available yet, and realistically it will not come out this year (personal correspondence with the authors).

Upvotes: 1

Related Questions