Comments (1)
Ohm-Np
commented on June 16, 2024
Hi @IngmarM, the .geojson output fom the long-table CSVs datasets currently look like this:
library(sf)
#> Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 7.0.0
# load geojson file
geo1 <-
read_sf("geo1.geojson")
# view first 5 results
geo1[1:5, ]
#> # A tibble: 5 x 4
#> WDPA_PID name value geometry
#> <chr> <chr> <dbl> <MULTIPOLYGON [°]>
#> 1 10795 travel_time_to_… 197 (((-46.96067 -3.783326, -46.83666 -3.697982, …
#> 2 10826 travel_time_to_… 135 (((-61.69001 1.227347, -61.68867 1.227347, -6…
#> 3 10830 travel_time_to_… 2934 (((-67.50068 -1.799332, -67.50068 -1.867327, …
#> 4 10845 travel_time_to_… 2077 (((-67.33532 -2.861317, -67.33532 -2.861984, …
#> 5 15961 travel_time_to_… 50 (((-43.42731 -20.42201, -43.42669 -20.42268, …Created on 2021-09-22 by the reprex package (v2.0.0)
It would be great if you could provide me feedback on how the data/columns should be structured and then I will start processing and converting all the variables to geojson mentioned by Johannes.
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