Restricting geographical space for SDM analyses in R
Hi, You can limit the domain of your modeling to irregular polygons such as a coastline buffered to some +/- distance inshore/offshore, but the ease of doing so depends upon your data and covariates. You haven't provided much detail (well, none actually) so it's a challenge to suggest anything. For the vector/point data take a look at the sf package (https://CRAN.R-project.org/package=sf) or sp (https://CRAN.R-project.org/package=sp) packages, and for rasterized data you could try raster (https://CRAN.R-project.org/package=raster), terra (https://CRAN.R-project.org/package=terra) or stars (https://CRAN.R-project.org/package=stars) packages. Cheers, Ben On Mon, Nov 16, 2020 at 6:44 AM Francisco Borges
<franciscoomcborges at gmail.com> wrote:
I am conducting SDM analysis in R, and would like to restrict my predictions in the geographical space. I am aware of how to do it by cropping the world space with latitude and longitude, but my case is a little bit trickier. I want to restrict my analysis to only the coastal area (i.e. from ocean to, let's say a certain distance inland). I have yet to find a solution online to this question, but I am aware that using a shapefile it could work. I have zero knowledge of GIS, unfortunately, as I understand that this could be one of the solutions. I appreciate any info or suggestion you can provide me Best, *Francisco Borges* MARE ? Marine and Environmental Sciences Centre Laborat?rio Mar?timo da Guia - Faculdade de Ci?ncias da Universidade de Lisboa Av. Nossa Senhora do Cabo, 939 2750-374 Cascais, Portugal Tel: +351 214 869 211 publons.com/a/1504585/ orcid.org/0000-0002-3911-0421 http://www.mare-centre.pt/pt/user/8232 [[alternative HTML version deleted]]
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Ben Tupper Bigelow Laboratory for Ocean Science East Boothbay, Maine http://www.bigelow.org/ https://eco.bigelow.org