67.43.25.28. iPhone (XR) heb geupdate naar iOS 14.0 (heeft nieuwe bestanden/foto-blader module)

Ik wil graag het volgende eens aankaarten: Sinds ik mijn iPhone (XR) heb geupdate naar iOS 14.0 zijn de prestaties bij het laden van foto’s uit de fotobibliotheek ronduit belabberd.
Ik moet daarbij melden dat ik grootgebruiker ben van iCloud wat betreft fotoopslag.

Wat er gebeurd als ik in ObsIdentify op het gallerij icoon druk is, dat er lang niets gebeurd en vervolgens een lijst verschijnt van mijn fotoalbums. Bovenaan staat ‘Recent’. Meestal is dat waar ik moet zijn dus dan gaat het prima.
Zoek ik echter een eigen album dat een paar schermen scroller lager staat blijkt er echter een enorm prestatieprobleem te zijn. Het scrollen van de albumlijst is traag als dikke stroop. Het lijkt alsof er ter plekke op de achtergrond een cache gemaakt wordt van alle albums ofzo. Uiteindelijk lukt het me om bij betreffend album te komen en kan ik binnen het album met redelijk normale prestaties door de foto’s bladeren en er 1 selecteren.
Dan kan ik verder en als ik een slechte match heb, mag ik nog meer foto’s toevoegen. Enfin, hetzelde liedje, maar dit keer toch iets minder stroperig, doch verre van ideaal.

Gebruik ik gewoon de website via Safari heb ik dit probleem niet, ben ik in 4 seconde klaar met 4 foto’s erin knallen en hoppakee daar staat de match al op het scherm.

Nu begreep ik dat in iOS 14 een nieuwe bestanden/foto-blader module is geïntroduceerd (met ingebouwde search/filter bar). Safari gebruikt deze dan ook en ging super snel. ObsIdentify benut dit niet vanzelf na de systeemupdate en is nu een soort kreupel oudje geworden op mijn toestel.

Some Blue Tips

some useful links:

favorite taxon

SomeArboretum Amy Tips

Or maybe you can think of a taxon people are constantly miss-identifying? (Ugh.)

Introducing your new favorite tricks:

&ident_taxon_id=

and

&without_taxon_id=

How to use them? I'll give an example.

Go to identify and type in a taxon. Add any of your preferred settings and hit go. For this example I'll be using Asparagus setaceus, searching for both "needs ID" and "casual"

https://www.inaturalist.org/observations/identify?quality_grade=casual%2Cneeds_id&taxon_id=75604&photos=true&place_id=any
Look at the URL of the page. Find the bit that says "&taxon_id=[number]" and carefully type in additional characters so that it instead reads "&ident_taxon_id=[number]" Now hit enter.

https://www.inaturalist.org/observations/identify?quality_grade=casual%2Cneeds_id&ident_taxon_id=75604&photos=true&place_id=any

Assuming you didn't make any typos, you should now be seeing more observations than before.* The new ones are observations where a disagreement has occurred, but at least one person thinks the observation belongs in the taxon you're searching.

*As long as observations with disagreements exist; they usually do!
If you want to look at only observations where there is disagreement, alter the URL again to add an additional component, "&without_taxon_id=[yourtaxonnumberhere]" I find it easiest to add it to the end so that I am sure not to mess up anything in the middle. You should have just produced a URL containing both &ident_taxon_id=[number] and &without_taxon_id=[samenumber]

https://www.inaturalist.org/observations/identify?quality_grade=casual%2Cneeds_id&ident_taxon_id=75604&photos=true&place_id=any&without_taxon_id=75604

Neat! If you really want to dive into search URL tips and tricks, check out the forum guide: https://forum.inaturalist.org/t/how-to-use-inaturalists-search-urls-wiki/63

This method also works great when tackling taxa from the list of Computer Vision Clean-Up: https://forum.inaturalist.org/t/computer-vision-clean-up-wiki/7281

UPDATE: You might also prefer to look at Explore view rather than Identify. That way if you tab over to the “species” tab it will show you stuff that often gets confused for the species in question. Using my example of Asparagus setaceus, that turns out to look like this: https://www.inaturalist.org/observations?ident_taxon_id=75604&photos=true&place_id=any&verifiable=any&view=species&without_taxon_id=75604 I find that very handy for alerting myself to possible "lookalike" taxa.

Of course there's also a built-in way to do that on the About Page of any species:

Clicking the grey numbers in the image corners will show you observations with identifications of both species. So for example, observations identified as both Asparagus setaceus and Asparagus aethiopicus are here:

https://www.inaturalist.org/observations?ident_taxon_id_exclusive=75603,75604&place_id=any&verifiable=any

Actually by looking at this I just learned that &ident_taxon_id_exclusive= the URL modification to use if you want to search for multiple taxa IDs which appear together.

Bulk determineren Tool

Erzijn toetsenbord sneltoetsen die vanaf een pop-up window werken. Let op het kleine toetsenbord icoon aan de linkerkant van de popup en klik er op om te kijken welke sneltoetsen er zijn.

Gebruik de filters die aanwezig zijn op https://www.inaturalist.org/observations/identify 2 to collect the set of observations I want to identify. (Bookmark the resulting filter URL in your browser if you plan to use the same criteria frequently.)
Click on the first thumbnail image (or press right-arrow) to open the Identify Modal (where the keyboard shortcuts operate). Mouse-less from this point onward!
Press letter i to start adding an ID.
Type the first few letters of the name I want to add. Examples: art tri will bring up a list with Artemisia tridentata at the top; bri pin will bring up a list with bristlecone pines at the top. (This works in any name box on the site.)
arrow down to the desired name and press Enter to select
Press Enter again to Save the ID. Or, Tab to move to the Comments box. After typing a comment, Tab re-activates the Save button, and Enter saves the ID plus Comment.
arrow right/left to move directly to the next observation in your filter. No need to close the pop-up each time.
Other common actions (instead of i to add an ID):
type letter a to agree with current ID, arrow right/left to the next observation.
type letter c to open a stand-alone comment box. When done, Tab, Enter to save.
type letter r to mark observation as reviewed (without leaving an ID or comment), arrow right/left to 1. the next observation. This will stop this observation from appearing in your ID filters again, unless you specifically include Reviewed observations in your filter.
After you use the keyboard shortcuts a few times, they become more familiar and efficient. Still not a bulk process as envisioned by the original post, but can get pretty efficient.

Also note the other tabs (Suggestions, Annotations, Data Quality) across the top right of the modal window.

Je kunt ook een video handleiding (https://www.inaturalist.org/pages/video+tutorials#identify) covering some of this, although it is based on a now-outdated layout of the Identify Modal.

Run R scripts

download and install R from https://cran.r-project.org/. (i use 64-bit Windows. so i downloaded the Windows installer from https://cran.r-project.org/bin/windows/base/ 1 and installed just the core files and 64-bit files.)
download and install RStudio Desktop from https://rstudio.com/products/rstudio/download/ 1.
open RStudio, and go to File > New File > R Script… copy alexis18’s code above and paste it into the new R script window.
change the taxon_id and taxon_name in lines 7 and 8, if you want to run the script for something other than Apis mellifera.
note that the first 3 lines of the code are commented out. (they begin with a #.) these commands only need to be run once, since they’re basically installing some packages that the rest of the script uses. (if you have the packages installed already, you don’t need to run these lines.)
run the first line by highlighting everything on that line except the #, and then click the run button. this will install a bunch of packages and dependencies. it may take a while to download and install everything. so just wait until the stop button in the console window below the script window goes away. there may be some prompts that pop up along the way that you may have to respond to in the console window, too. (as an alternative to running that first line, you can also go to Tools > Install Packages… and install the packages from there.)
once those 3 packages and dependencies are fully installed, highlight everything in the second line except the #, and run that.
then highlight everything in the third line of the script except the #, and run that.
from there, just continue to click the run button to run through the rest of the script.
when you’ve run the last line, the resulting visualization should pop up in a Viewer window in the bottom-right corner of RStudio. you can zoom in on the result to view it in more detail, or you can export it as an image for use outside of RStudio.

the specific part of alexis18’s code that actually gets the data from iNaturalist (via its API) is in the section labeled “API Call”. generally, there appear to be many ways in R to get data from an API. you could do an internet search to learn more, or i’ve also noted some resources (from my own quick internet search) here: https://forum.inaturalist.org/t/inaturalist-user-trends-with-r/12538/15 1.

https://www.inaturalist.org/blog/25514-clarifying-ancestor-disagreements

Prof. Mulder van TU Delft heeft een lezing gegeven over de Battolyser een innovatie op basis van een ruim 150 jaar oud principe van een ijzer-accu. Deze technologie heeft het in zich om aan zowel de korte als lange termijn energie-opslag en afgifte behoefte te voorzien.

https://www.tudelft.nl/en/technology-transfer/development-innovation/research-exhibition-projects/battolyser/

https://www.battolyserbv.com/2019/05/02/first-battolyser-for-electricity-storage-and-hydrogen-production-thanks-to-waddenfonds-in-groningen/