Hi, In addition to what Jurijsy suggested you can also use gdaldem. You can access this in QGIS by selecting Raster from the toolbar and the selecting Analysis and Grid Nearest Neighbour. If using Windows and an OSGeo4W install, you can utilise the OSGeo4W Shell to run the same command via command line. Regards,
Richard -- Richard McDonnell MSc GIS, FME Certified Professional FRM Data Management -- Oifig na nOibreacha Poibl? Office of Public Works Sr?id Jonathan Swift, Baile ?tha Troim, Co na M?, C15 NX36 Jonathan Swift Street, Trim, Co Meath, C15 NX36 -- M +353 87 688 5964 T +353 46 942 2409 https://gov.ie/opw -- To send me files larger than 30MB, please use the link below https://filetransfer.opw.ie/filedrop/[email protected] Email Disclaimer: https://www.gov.ie/en/organisation-information/439daf-email-disclaimer/ From: Qgis-user <[email protected]> On Behalf Of Micha Silver Sent: 08 September 2021 14:04 To: Jurijs Kondratenko <[email protected]>; [email protected] Subject: Re: [Qgis-user] How to replicate ARC-GIS Natural Neighbour Interpolation Algorithm in QGIS / DTM from elevation points If your'e willing to try GRASS GIS, then the module v.surf.nnbathy should help. https://grass.osgeo.org/grass78/manuals/addons/v.surf.nnbathy.html On 9/8/21 11:08 AM, Jurijs Kondratenko wrote: Hi, I'm building a DTM from random points (with different distances in between) and I like ArcGIS Natural Neighbour algorithm for doing so. Is there any way to replicate it in QGIS? https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/how-natural-neighbor-works.htm Alternatively, what would be a way to constructing DTM from points, preserving the original points in respective pixels? Thank you! Jurijs Kondratenko Riga Technical University _______________________________________________ Qgis-user mailing list [email protected]<mailto:[email protected]> List info: https://lists.osgeo.org/mailman/listinfo/qgis-user Unsubscribe: https://lists.osgeo.org/mailman/listinfo/qgis-user -- Micha Silver Ben Gurion Univ. Sde Boker, Remote Sensing Lab cell: +972-523-665918
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