Andre Hosper

Joined: Jul 08, 2013 Last Active: Jan 19, 2021

Ik woon in Nederland maar heb belangstelling voor Planten, Vogels, Libellen en Vlinders in Europa en daarbuiten. Ik ben al lang lid van iNaturalsit maar sinds 2017 voeg ik waarnemingen toe en sinds 2018 ben ik echt overgestapt op deze internationale gemeenschap. In 2016 was dit nog de situatie "..Er staan drie miljoen waarnemingen, maar zo te zien staan alle foto's elders. Slim misschien, maar wat als Flickr stopt? Het validatiesysteem is ook te vrijblijvend. Tenzij ik verkeerd keek mag iedereen iets roepen...." en was het echt een sociaal projecten project met links diep in Google Photos en Flickr waarbij Flickr ook sociale componenten heeft.

Ik gebruik het rinat package in R (zie bv. Die maakt direct gebruik van hun API. Vanuit R kun je alles ermee doen, ook zo nodig wegschrijven naar andere formaten.

Living in the Netherlands, interest in European Plants, birds, dragonflies, butterflies and Skunkweed. Subscribed 2013-07-08 14:50 GMT+02:00 but only recently adding observations, currently with photos. In my country it is less common to proof your observation with photos but in iNaturalist without photos your observation in not that valueable.
It seems the language setting is related to your location while, in my opinion, it is more related to the nationality of the observer. That is easy to say in the Holland is soo small and the world is soo big.
As Loarie is adding some of my photos i hope the Ai/ComputerVision will get much better. As i have some observations of Armenia, Cuba and Belarus it will increase the world wide coverage of iNaturalist. It is no problem if the software is english but would like the taxonomy available in more Dutch.
Your observations: MAP(left button)
Estimated distribuiton of the data(takes some time to load)
Distribution of species
The import started at 17 augustus 2018 om 04:11
August 19, 2018 01:11AM CEST
The import stopped at August 19, 2018 10:33 AM CEST

Er is als ik het goed begrepen heb -- een nieuwe native fotokiezer in iOS 14 die onder andere een zoekveld ondersteund tijdens het selecteren van foto's uit de fotogalerij. Ook zijn de prestaties beter bij het laden/browsen van albums in iCloud. Daarnaast is er ook ondersteuning voor het bladeren van BESTANDEN ipv allen de FOTOKIEZER, op die manier kunnen ook bestanden uit een map geladen worden ipv alleen uit de fotogalerij.,475127.0.html
Ik ervaar hinderlijk slechte prestaties van de huidige fotokiezer in ObsIdentify (met een iPhone XR), zoals ik hier heb gemeld (maar geen reactie op heb ontvangen).
Ik neig er daarom naar om de website te gebruiken, maar die is dan regelmatig weer niet in staat om GPS gegevens aan de foto's te ontfutselen, terwijl ObsIdentify dat met dezelfde foto's wel lukt.,475127.0.html Is zon json niet inefficient (Seems only verifyable are used)

OK, here is how you can see your options: In the Community ID box, click "compare", then set the Place to "South America", and for Taxon, type in Calycopis, you'll get: these 4 matches in that genus: C.origo, C.isobeon, C.caulonia, C.cerata. But then try "Lycaenidae" (the larger family), and you'll get Ministrymon azia, and Strymon melinus added to that list of 6 very similar species. You may need a more local expert.
My Unknowns
My Unknowns
Je kunt ze ook vinden door naar "your observations" te gaan en dan bij filters de "unknown" filter aan te zetten. Dan zie je alles waar geen soort naam bij staa
UNKNOWN SouthAfrica TonyReblo (why page4?)

It is possible using the unobserved_by_user_Id parameter in the observations view.

2 caveats

if you do a species view, you are restricted to the 500 most frequently seen species unless you start filtering down (ie add birds or beetles etc)
the ‘unseen’ is not geographic specific, it counts you as having seen it if you have seen it, but not in the location you specify.(so for example in the list below, Grey Kingbird will not appear, even though I have never observed one in Ontario, just elsewhere)
For excample this url shows all the birds reported from Ontario that I personally have not seen (or more accurately not recorded an iNat record for as I have actually seen some of them)

you can add additional filters for hrank and lrank equals species if you want to get rid of the genus level records.

all these Check Rep observations have been placed (wrongly) in Amurskiy rayon, KH, RU

But it would also be helpful, for example, if you know a particular person is an expert in a taxon. If you could find observations they've added IDs to, There's also this somewhat hidden endpoint where you can search
Identifications by taxon and user e.g.:
Try "ident_user_id"
I find it very easy and quick to annotate my observations in the Identify tool right after I upload them, now that I’ve gotten into the habit. I’ve bookmarked and this shows me all of my own observations I’ve reviewed (ie observations to which I’ve added an ID), with the latest ones first. Then it’s just a matter or going through them. That URL should work for anyone, just replace “tiwane” with your own username.

Find observations missing a location,97391&user_id=ahospers&verifiable=any works!

SEARCH own Identifications 3

Other parameters you can add:

&category=maverick|supporting|improving|leading Default: any
&current=false|any Default: true
&for=self|others|any Default: any

Projects with fields
But there is still a huge need for classical projects: i.e. projects to which observations are manually added, or added by virtue of observation fields that are required. To my mind these are "tagged" projects. (in iNat logic one traditionally "added observations to projects", but for similar projects on iSpot we added tags and created projects to filter on the tags - the net effect is the same, a lookup table of project-tag and observation, that can be used as a filter - either alone or with other filters).
The addition of a project-tag filter to the new projects will make the "traditional" projects into "collection type" projects too, while preserving the Project Icons on the observations.
((the additional functionality of defining observation fields from within a project is an extremely useful feature.))

No coordinates and you have other obs from the same day and all those obs from that day HAVE TIMES appending ?interpolate_coordinates=true to the edit observation URL (the URL you’re at when you’re editing an obs, e.g. will fill in coordinates based on a time-weighted average of the nearest observations in time.

A nitpick: is the central filter a Location filter (using google places) or a Place filter (using user-created iNat polygons) or both? It would help if the terminology was standardized with the observations pages and its filters.

link for creating a traditional project: E.g., “Similar Observation Set 5,” or “Linked Observation” work well for this. And yes, you’ll definitely want to make new observations for this.

for this user, filtering on verifiable=false gives me more or less what I want, but conflates these with any Data Quality criteria, not just missing coordinates. 1

This is slightly better as it’ll exclude captive=true and species = human:

This comes from Ways to help out on iNat - wiki:
“Help fix casual grade observations 1 by informing the observer that the date or location is missing”

ave you tried using this link? 4

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