How to efficiently generate data of neighboring points
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 at nhh.no> wrote:
On Tue, 2 Jun 2020, Kent Johnson wrote:
Date: Tue, 2 Jun 2020 02:44:17 -0500
From: Lom Navanyo <lomnavasia at gmail.com>
To: r-sig-geo at 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
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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 at nhh.no https://orcid.org/0000-0003-2392-6140 https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en