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-0.1.7.tar.gz
(11.3 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-0.1.7-py3-none-any.whl
(12.6 kB
view details)
File details
Details for the file ecoobs-0.1.7.tar.gz.
File metadata
- Download URL: ecoobs-0.1.7.tar.gz
- Upload date:
- Size: 11.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe7509ffa9447717108a9ef57687c82f38449bf6d1682cc7407e03123d21f73e
|
|
| MD5 |
227629513f50caf88f7dd8b0857765e0
|
|
| BLAKE2b-256 |
2790eb581b6ab275ea42a72934a19d86fc3375596442c0a8dee5e543747b4d00
|
File details
Details for the file ecoobs-0.1.7-py3-none-any.whl.
File metadata
- Download URL: ecoobs-0.1.7-py3-none-any.whl
- Upload date:
- Size: 12.6 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 |
b2f806ad44a8b168b1035b4eb217ab43bc2201698f74d290e619871d5dc2325e
|
|
| MD5 |
9e3cb6476de9b78de697b273e48d4fbb
|
|
| BLAKE2b-256 |
258ffe6be4b6da55a79d6177bacf4c543888af6393c6a0c377258fb54511b03e
|