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Another approach utilizes the QGIS's native geoalgorithms. Let's assume there is a polygon layer called 'test', see the image below. Step 1. Use the "Extract vertices" Step 2. Apply the "Add X/Y fields to layer". On this stage set up the Coordinate System appropriately Step 3. (Optional) Do whatever you want :)e.g. export the result of ...


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I give here an example with the package sf and the function st_nearest_feature, I assume that you are looking for the closest storage by using the geodesic distance. Note that some of the coordinates provided in your example are likely wrong (longitude of 2121 ?) # using the provided data in example lat <- c(47.3523235, 47.5673237,47.606209) long <- c(-...


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As stated by gene, it seems like you had longitude as a negative coordinate, this correctly shows NZ. lat = -40.9006 long = 174.8860 nz_map = folium.Map(location=[lat,long], zoom_start=6)


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1- Review the data framework projection (?) and the data projection (?) of all your layers. 2.- *ArcMap desktop. New--> (Add xy data-->Edit--> Geographic-->world->wgs84). Open base map to compare. 3.- About your CSV file. Test with one sample, copy and paste (xy) on google maps. You can have strange characters in the CSV file. (Select only the ...


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