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<p>Noted, many thanks, --Mel.<br>
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<div class="moz-cite-prefix">On 09/01/2017 06:05 PM, Rafael Pereira
wrote:<br>
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<pre wrap="">Melanie,
if you're also interested, this paper brings a good summary of the pros and
cons of three regular tessellations: hexagons, squares and triangles.
<a class="moz-txt-link-freetext" href="http://www.sciencedirect.com/science/article/pii/S0304380007001949">http://www.sciencedirect.com/science/article/pii/S0304380007001949</a>
best wishes,
Rafael H M Pereira
On Fri, Sep 1, 2017 at 11:42 AM, Bacou, Melanie <a class="moz-txt-link-rfc2396E" href="mailto:mel@mbacou.com"><mel@mbacou.com></a> wrote:
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<pre wrap="">On 09/01/2017 03:53 AM, Roger Bivand wrote:
On Fri, 1 Sep 2017, Bacou, Melanie wrote:
I am wondering if current R raster operations (e.g. `extract()`,
`resample()`, distance(), etc.) can be modified to work with honeycomb
(hexagonal) grids instead of simple square grids? This is driven by e.g.
work at Uber <a class="moz-txt-link-freetext" href="https://www.slideshare.net/stonse/ml-and-data-science-at">https://www.slideshare.net/stonse/ml-and-data-science-at</a>-
uber-gitpro-talk-2
017, and other articles <a class="moz-txt-link-freetext" href="http://strimas.com/spatial/hexagonal-grids/">http://strimas.com/spatial/hexagonal-grids/</a>.
I'm being asked to evaluate the pros/cons of using different
tessellations,
and wondering what's the extent of R's support for non square grids.
Please also consider taking this up with:
<a class="moz-txt-link-freetext" href="https://github.com/r-spatial/stars">https://github.com/r-spatial/stars</a>
where it is very relevant. See also the dggridR package:
<a class="moz-txt-link-freetext" href="https://cran.r-project.org/web/packages/dggridR/index.html">https://cran.r-project.org/web/packages/dggridR/index.html</a>
Please report back on this - it deserves to be advanced actively.
Roger
Roger, thanks did that. Reviewing Richard Barnes' package now.
--Mel.
Many thanks, --Mel.
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