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get_trimComparedPlots(year=2010:2023,Län = 'Västra Götaland')
Species with ID 2 skipped, no observations! 1% | ETA: 3m
Species with ID 3 skipped, no observations! 2% | ETA: 3m
Species with ID 4 skipped, no observations! 3% | ETA: 3m
Species with ID 10 skipped, no observations! 7% | ETA: 3m
Species with ID 13 skipped, no observations! 9% | ETA: 2m
Species with ID 15 skipped, no observations! 10% | ETA: 2m
Species with ID 20 skipped, no observations! 15% | ETA: 2m
Species with ID 21 skipped, no observations! 16% | ETA: 2m
Species with ID 31 skipped, no observations! 24% | ETA: 2m
Species with ID 39 skipped, no observations! 27% | ETA: 2m
Species with ID 41 skipped, no observations! 28% | ETA: 2m
Species with ID 48 skipped, no observations! 35% | ETA: 2m
Species with ID 49 skipped, no observations! 36% | ETA: 2m
Species with ID 55 skipped, no observations! 39% | ETA: 2m
Species with ID 64 skipped, no observations! 45% | ETA: 2m
Species with ID 66 skipped, no observations! 47% | ETA: 1m
Species with ID 69 skipped, no observations! 50% | ETA: 1m
Species with ID 78 skipped, no observations!■ 57% | ETA: 1m
Species with ID 82 skipped, no observations!■■ 60% | ETA: 1m
Species with ID 84 skipped, no observations!■■ 61% | ETA: 1m
Species with ID 96 skipped, no observations!■■■■■ 69% | ETA: 1m
Species with ID 97 skipped, no observations!■■■■■ 70% | ETA: 1m
Species with ID 113 skipped, no observations!■■■■■■■ 80% | ETA: 34s
Species with ID 123 skipped, no observations!■■■■■■■■■ 87% | ETA: 22s
Species with ID 126 skipped, no observations!■■■■■■■■■■ 89% | ETA: 19s
Species with ID 127 skipped, no observations!■■■■■■■■■■ 90% | ETA: 17s
Species with ID 134 skipped, no observations!■■■■■■■■■■■ 94% | ETA: 9s
Species with ID 181 skipped, no observations!■■■■■■■■■■■■ 98% | ETA: 3s
Species with ID 183 skipped, no observations!■■■■■■■■■■■■■ 99% | ETA: 2s
Error in postgresqlExecStatement(conn, statement, ...) :
RPosgreSQL error: could not Retrieve the result : ERROR: column "na" does not exist
LINE 9: ...3,95,105,106,108,109,110,111,112,115,117,118,119,120,125,NA)
^
Error in group_by():
! Must group by variables found in .data.
Column speuid is not found.
Column art is not found.
Run rlang::last_trace() to see where the error occurred.
Warning message:
In postgresqlQuickSQL(conn, statement, ...) :
Could not create execute: SELECT
spv_flightweekmin AS min,
spv_flightweekmax as max,
spv_spe_speciesid AS speuid,
spe_semainname AS art
FROM spv_speciesvalidation AS spv
INNER JOIN spe_species AS spe ON spe.spe_uid = spv_spe_speciesid
WHERE
spv_spe_speciesid IN (5,6,8,11,16,17,18,19,23,24,25,26,28,29,30,33,38,40,42,43,44,47,50,52,56,57,58,60,63,67,68,70,71,72,73,77,79,80,89,90,91,92,93,95,105,106,108,109,110,111,112,115,117,118,119,120,125,NA)
AND
spv_flightweekmin IS NOT NULL
ORDER BY speuid;
The text was updated successfully, but these errors were encountered:
Hej jo det funkar yay 😊 men jag tänkte inte på att man ofta vill ha alla lokaler för ett år, inte bara punkter och slingor.
* Bäst är nog som en option där man kan välja P, T eller P+T kombinerat men där default är att alla tre görs (jag tänker att om man vill kunna layouta med detta så behöver man kunna göra enbart en karta, exv T för markdown)
* Sedan behöver man kunna välja datakälla
* Sedan behöver man kunna välja landsdel (Län osv)
From: Georg ***@***.***>
Reply to: ScientiaFelis/sebmsR ***@***.***>
Date: Wednesday, 28 February 2024 at 17:23
To: ScientiaFelis/sebmsR ***@***.***>
Cc: Lars Pettersson ***@***.***>, Mention ***@***.***>
Subject: Re: [ScientiaFelis/sebmsR] Probable mismatch between lists in region and in Sweden (Issue #65)
@larspett<https://github.com/larspett> hur fungerar den här med filen jag skickade?
Blir det samma error där också?
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@larspett jag såg detta nu så jag la till de andra önskemålen också.
Nu finns alltså Landsdel (Län, Landskap och Kommun), samt source att välja på i sebms_site_maps och sebms_distribution_maps()
I sebms_site_maps() finns också maptype
@larspett I manage to fix the bug. It was due to there was a mismatch between species name when joining in species uid for the combined species agglomerates. sebms_trimComparedPlots() now works for them too.
I get a failure when trying:
The text was updated successfully, but these errors were encountered: