Function Repository Resource:

INaturalistSearch

Source Notebook

Search for iNaturalist observations using the iNaturalist API

Contributed by: Jofre Espigule-Pons

ResourceFunction["INaturalistSearch"][query]

gives a dataset with taxa occurrences of the specified query.

ResourceFunction["INaturalistSearch"][query,prop]

gives the property prop of the specified query.

Details and Options

ResourceFunction["INaturalistSearch"] utilizes iNaturalist's API to find observations of species and taxa.
The query can be specified using a taxon (as a string, Entity or an ExternalIdentifier for a Wikidata ID) or by All to include all possible taxa in the search.
ResourceFunction["INaturalistSearch"][query] is equivalent to ResourceFunction["INaturalistSearch"][query,"Dataset"].
Supported properties for ResourceFunction["INaturalistSearch"] include:
"Count"total count of taxa observations of the specified query
"Dataset"dataset with taxa observations of the specified query
"SimplifiedDataset"simplified dataset with taxa observations of the specified query
"RawData"raw data of taxa observations of the specified query
ResourceFunction["INaturalistSearch"] accepts the same options as Dataset for the "SimplifiedDataset" property.
Other options supported by ResourceFunction["INaturalistSearch"] include:
MaxItems200number of observations to return
Page1page of the observations to return
ObservationGeoRange{{-90, 90}, {-180, 180}}geographic range of the observations
ObservationDateRange{DateObject[{1700}],Today}date range of the observations
The following "QualityGrade" option specifications can be given:
"Research"observations with research grade
"NeedsID"observations that need identification
"Casual"casual observations
The following "HasImage" option specifications can be given:
Trueobservations with images
Falseobservations without images
The following "HasAudio" option specifications can be given:
Trueobservations with audio
Falseobservations without audio
The following "LifeStage" option specifications can be given:
"Egg"observations of eggs
"Adult"observations of adult specimens
"Teneral"observations of teneral specimens
"Pupa"observations of pupa specimens
"Nymph"observations of nymph specimens
"Larva"observations of larva specimens
"Subimago"observations of subimago specimens
"Juvenile"observations of juvenile specimens
The following "Sex" option specifications can be given:
"Male"observations of male specimens
"Female"observations of female specimens
The following "PlantPhenology" option specifications can be given:
"Flowering"observations of flowering plant specimens
"Fruiting"observations of fruiting plant specimens
"FlowerBudding"observations of flower budding plant specimens
"NoEvidenceOfFlowering"observations without evidence of flowering plant specimens
The following "Alive" option specifications can be given:
Trueobservations of alive specimens
Falseobservations of inert specimens
"CannotBeDetermined"observations of unconfirmed alive specimens
The following "Threatened" option specifications can be given:
Trueobservations of threatened taxa
Falseobservations without threatened taxa
The following "Endemic" option specifications can be given:
Trueobservations of endemic taxa
Falseobservations without endemic taxa
The following "Native" option specifications can be given:
Trueobservations of native taxa
Falseobservations without native taxa
The following "Introduced" option specifications can be given:
Trueobservations of introduced taxa
Falseobservations without introduced taxa
The following "Captive" option specifications can be given:
Trueobservations of captive taxa
Falseobservations without captive taxa
ResourceFunction["INaturalistSearch"] does not include observations with missing geographic coordinates.

Examples

Basic Examples (6) 

Obtain a dataset of threatened species observed in Yellowstone National Park in a span of one week:

In[1]:=
data = ResourceFunction["INaturalistSearch"][All, "Threatened" -> True, "ObservationGeoRange" -> GeoBounds[Entity["Park", "YellowstoneNationalPark::zc6x9"]], "ObservationDateRange" -> {DateObject[{2020, 7, 19}], DateObject[{2020, 7, 26}]}]
Out[1]=
In[2]:=
data = ResourceFunction["INaturalistSearch"][All, "ObservationGeoRange" -> GeoBounds[Entity["Park", "YellowstoneNationalPark::zc6x9"]], "ObservationDateRange" -> {Yesterday, Today}]
Out[2]=

Get the total count of wolf observations in Yellowstone National Park:

In[3]:=
ResourceFunction["INaturalistSearch"][
 ExternalIdentifier["WikidataID", "Q18498", <|"Label" -> "wolf", "Description" -> "species of mammal"|>], "Count", "ObservationGeoRange" -> GeoBounds[Entity["Park", "YellowstoneNationalPark::zc6x9"]]]
Out[3]=

Obtain a dataset of all observations of different types of eggs from a specific region:

In[4]:=
ResourceFunction["INaturalistSearch"][ All , "ObservationGeoRange" -> GeoBounds[Entity["Park", "YellowstoneNationalPark::zc6x9"]], "LifeStage" -> "Egg" ]
Out[4]=

Obtain observations of a specific user containing audio recordings:

In[5]:=
audioData = ResourceFunction["INaturalistSearch"][ All, "UserLogin" -> "jofree", "HasAudio" -> True  ]
Out[5]=

Import the audio file from the previous observation:

In[6]:=
Import[First@Normal@audioData[All, "AudioURL"]]
Out[6]=

Obtain a dataset of observations from Canada containing audio recordings:

In[7]:=
ResourceFunction["INaturalistSearch"][ All, "ObservationGeoRange" -> GeoBounds[Entity["Country", "Canada"]], "ObservationDateRange" -> {DateObject[{2019, 7, 19}], DateObject[{2019, 7, 21}]}, "HasAudio" -> True  ]
Out[7]=

Obtain a dataset of a specific taxon with observations of dead specimens only:

In[8]:=
ResourceFunction["INaturalistSearch"][ Entity["Species", "Species:NezaraViridula"] , "SimplifiedDataset" , "Alive" -> False]
Out[8]=

Options (1) 

Options from Dataset can be directly specified in INaturalistSearch for the "SimplifiedDataset" property:

In[9]:=
ResourceFunction["INaturalistSearch"][ Entity["Species", "Species:CanisLupus"], "SimplifiedDataset", "ObservationGeoRange" -> GeoBounds[Entity["Park", "YellowstoneNationalPark::zc6x9"]], "ObservationDateRange" -> {DateObject[{2020, 07, 20}], Today}, Background -> LightBrown ]
Out[9]=

Neat Examples (5) 

Create a classifier to automatically identify observations of nymphs and adults of brown marmorated stink bugs:

In[10]:=
classes = {"Nymph", "Adult"};

Import the images to create a training set and a test set:

In[11]:=
nymphImages = Flatten@Table[
     Map[Import, Normal[ResourceFunction["INaturalistSearch"][ "Halyomorpha halys", "QualityGrade" -> "Research"  , "LifeStage" -> "Nymph", "Page" -> i][All, "SquareImageURL"]]], {i, 1, 3}] // Quiet;
In[12]:=
adultImages = Flatten@Table[
     Map[Import, Normal[ResourceFunction["INaturalistSearch"][ "Halyomorpha halys", "QualityGrade" -> "Research"  , "LifeStage" -> "Adult", "Page" -> i][All, "SquareImageURL"]]], {i, 1, 3}] // Quiet;
In[13]:=
dataset = RandomSample@
   Flatten[Thread /@ Thread[{nymphImages, adultImages} -> classes]];
In[14]:=
trainingSet = dataset[[;; 700]];
testSet = dataset[[701 ;;]];
In[15]:=
c = Classify[trainingSet, PerformanceGoal -> "Quality"]
Out[15]=
In[16]:=
cm = ClassifierMeasurements[c, testSet, "ConfusionMatrixPlot"]
Out[16]=

Test the trained classifier with two specific test examples:

In[17]:=
testSet[[8]]
Out[17]=
In[18]:=
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Out[18]=
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Out[19]=
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BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSizeRaw->{75., 75.},
PlotRange->{{0, 75.}, {0, 75.}}]\)]
Out[20]=

Check unconfirmed observations:

In[21]:=
nymphUnconfirmedImages = Map[Import, Normal[ResourceFunction["INaturalistSearch"][ "Halyomorpha halys", "QualityGrade" -> "NeedsID"  , "Page" -> 1, MaxItems -> 5][All, "SquareImageURL"]]] // Quiet
Out[21]=
In[22]:=
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Out[22]=

Get the observation link in order to annotate the "LifeStage" of the specimen and hence contribute to a research-grade observation:

In[23]:=
Normal[ResourceFunction["INaturalistSearch"][ "Halyomorpha halys", "SimplifiedDataset", "QualityGrade" -> "NeedsID"  , "Page" -> 1, MaxItems -> 1][All, "ObservationURL"]] // Quiet
Out[23]=

Publisher

Jofre Espigule-Pons

Version History

  • 1.1.0 – 13 June 2022
  • 1.0.0 – 17 August 2020

Related Resources

License Information