[R-sig-Geo] How to efficiently generate data of neighboring points

[Kent Johnson]

rtree uses Euclidean distance so the points should be in a coordinate
system where this makes sense at least as a reasonable approximation.

Kent

On Tue, Jun 2, 2020 at 9:59 AM Roger Bivand <Roger.Bivand using nhh.no> wrote:

> On Tue, 2 Jun 2020, Kent Johnson wrote:
>
> >> Date: Tue, 2 Jun 2020 02:44:17 -0500
> >> From: Lom Navanyo <lomnavasia using gmail.com>
> >> To: r-sig-geo using r-project.org
> >> Subject: [R-sig-Geo] How to efficiently generate data of neighboring
> >>         points within specified radii (distances) for each point in a
> given
> >>         points data set.
> >>
> >
> >
> >> Hello,
> >> I have data set of about 3400 location points with which I am trying to
> >> generate data of each point and their neighbors within defined radii
> (eg,
> >> 0.25, 1, and 3 miles).
> >>
> >
> > The rtree package is very fast and memory-efficient for within-distance
> > calculations.
> > https://github.com/hunzikp/rtree
>
> Thanks! Does this also apply when the input points are in geographical
> coordinates?
>
> Roger
>
> >
> > Kent Johnson
> > Cambridge, MA
> >
> >       [[alternative HTML version deleted]]
> >
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> > R-sig-Geo using r-project.org
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> >
>
> --
> Roger Bivand
> Department of Economics, Norwegian School of Economics,
> Helleveien 30, N-5045 Bergen, Norway.
> voice: +47 55 95 93 55; e-mail: Roger.Bivand using nhh.no
> https://orcid.org/0000-0003-2392-6140
> https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en
>

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