A library for Species Occurence data retrieval from GBIF, iNaturalist, and SpeciesLink APIs.
Project description
USAGE.md
Overview
ecoobs is a library designed to facilitate data management and processing for scientific and research applications.
Getting Started
Installation
pip install ecoobs
Basic Usage
import ecoobs
# Example: Download occurrences from GBIF, iNaturalist, and SpeciesLink - INaturalist doesn't require any authentication.
ecoobs.save_specieslink_apikey(apikey)
ecoobs.save_gbif_credentials(user, email, pwd)
species_names = ["Panthera onca", "Lynx rufus"]
df = ecoobs.get_occurrences(
species_names,
country="Brazil",
year_range=(2000, 2020),
)
Functions
get_occurrences(species_names, country=None, year_range=None, lat_min=None, lat_max=None, lon_min = None, lon_max = None, includeGbif = True, includeInaturalist = True, includeSpeciesLink = True): Fetches occurrence data for the specified species from GBIF, iNaturalist, and SpeciesLink (you can choose the source), with optional filters for country, year range, and latitude bounds.get_species_autocomplete(name): Retrieves a list of species suggestions from GBIF based on the provided name.save_gbif_credentials(user, email, pwd): Saves GBIF user credentials for authenticated requests.save_specieslink_apikey(apikey): Saves the API key for SpeciesLink requests.delete_gbif_credentials(): Deletes stored GBIF user credentials.delete_specieslink_apikey(): Deletes the stored SpeciesLink API key.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ecoobs-0.1.92.tar.gz
(11.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
ecoobs-0.1.92-py3-none-any.whl
(12.7 kB
view details)
File details
Details for the file ecoobs-0.1.92.tar.gz.
File metadata
- Download URL: ecoobs-0.1.92.tar.gz
- Upload date:
- Size: 11.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0b41fac6869dc8147d7c1bc7721b0f7690b27a89dcd1414ccfa5fe5627b9726a
|
|
| MD5 |
827b8af2911fbfb31654909e5e4a3ffa
|
|
| BLAKE2b-256 |
815ecc0d1c76eb2fc5c33ec7cdff0aba1853fb9414cb83ef44eb671e8dd5017d
|
File details
Details for the file ecoobs-0.1.92-py3-none-any.whl.
File metadata
- Download URL: ecoobs-0.1.92-py3-none-any.whl
- Upload date:
- Size: 12.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
94b8cbb647a864c89473f223ed53efc155f0849eecd47a5dbaa6d4a31940fbf3
|
|
| MD5 |
f5bad05715786b0dd71f0794b95e0a5b
|
|
| BLAKE2b-256 |
63dce532e3f7373b7b4c112f5ccafc8d14bbe606c69dac59eb4798e8fa2b3e81
|