iNaturalist observations along hiking trails

Overview

iNaturalist observations along hiking trails

This tool reads the route of a hike and generates a table of iNaturalist observations along the trails. It also shows the observations and the route of the hike on a map. Moreover, it saves waypoints of the iNaturalist observations for offline navigation with a GPS device or smartphone.

Usage

This is a command-line tool. It is called with a .gpx file that describes the route. This .gpx file can be either after a hike downloaded from a gps device or smartphone or created before a hike by a mapping tool or website. The gpx files in the examples directory have been created with the free website caltopo.com.

Here is an example. This is the command for Linux and macOS

./inat_trails.py examples/Rancho_Canada_del_Oro.gpx

On Windows the command is:

python.exe .\inat_trails.py examples\Rancho_Canada_del_Oro.gpx

The output looks like this:

Reading 'examples/Rancho_Canada_del_Oro.gpx'...
Loaded 13 named roads and trails: Bald Peaks Trail, Canada Del Oro Cut-Off Trail, Canada Del Oro Trail, Casa Loma Road,
    Catamount Trail, Chisnantuk Peak Trail, Little Llagas Creek Trail, Llagas Creek Loop Trail, Longwall Canyon Trail,
    Mayfair Ranch Trail, Needlegrass Trail, Serpentine Loop Trail.
Loaded 2,708 iNaturalist observations of quality-grade 'research' within bounding box.
Excluded 1,694 observations not along route and 13 with low accuracy.
Loaded 829 taxa.
Waypoints written to './Rancho_Canada_del_Oro_Open_Space_Preserve_all_research_waypoints.gpx'.
Table written to './Rancho_Canada_del_Oro_Open_Space_Preserve_all_research_observations.html'.
Map written to './Rancho_Canada_del_Oro_Open_Space_Preserve_all_research_mapped_observations.html'.

This tools finds named trails along this route. It loads iNaturalist observations from the area of the hike and discards those that are not along the trails. It writes three output files, a waypoints file, a table of observations, and an interactive map. Both the table and the map will pop up in a browser.

The waypoint file can be loaded into the free offline navigation app OsmAnd. This will allow this offline navigation app to display the iNaturalist observations along the hiking trails.

The table of observations lists all the organisms that have been observed along the trails along with the trail names they are on. The table for the mammals seen in this park looks like this:

Scientific Name Common Name Observations
Canidae Canids
Canis latrans Coyote Mayfair Ranch Trail: 38860133, 38860889
Urocyon cinereoargenteus Gray Fox Mayfair Ranch Trail: 39391329
Cervidae Deer
Odocoileus hemionus ssp. columbianus Columbian Black-Tailed Deer Casa Loma Road: 80058758; Little Llagas Creek Trail: 68891936; Mayfair Ranch Trail: 19113219, 21319391, 44158629
Cricetidae Hamsters, Voles, Lemmings, and Allies
Neotoma fuscipes Dusky-Footed Woodrat Mayfair Ranch Trail: 52963985
Felidae Felids
Lynx rufus Bobcat Mayfair Ranch Trail: 15630740, 15689757, 38861135
Geomyidae Pocket Gophers
Thomomys bottae Botta's Pocket Gopher Mayfair Ranch Trail: 38869384, 38875049
Leporidae Hares and Rabbits
Sylvilagus bachmani Brush Rabbit Mayfair Ranch Trail: 73152597, 74462983
Sciuridae Squirrels
Neotamias merriami Merriam's Chipmunk Longwall Canyon Trail: 42605223; Mayfair Ranch Trail: 132863, 46538314
Otospermophilus beecheyi California Ground Squirrel Casa Loma Road: 47200360; Mayfair Ranch Trail: 2328803, 15629491, 53667091
Sciurus griseus Western Gray Squirrel Mayfair Ranch Trail: 73152599

The numbers are the observation ids; a click opens them on the iNaturalist website.

The interactive map shows the route and the iNaturalist observations along the hike. Like the iNaturalist website, the markers on the interactive map have different colors for different iconic taxa, e.g. markers for plants are green. Hoovering the mouse over a marker shows the identification, a click on a marker shows a thumbnail picture, the identification, the observer, the date and a special status like invasive or introduced. A further click on that thumbnail opens the observation in the iNaturalist website in another browser window.

Command-line options

This script is a command-line tool. It is called with options and file names as arguments. These options are supported:

usage: inat_trails.py [-h] [--quality_grade QUALITY_GRADE] [--iconic_taxon ICONIC_TAXON] gpx_file [gpx_file ...]

positional arguments:
  gpx_file              Import GPS track from .gpx file.

optional arguments:
  -h, --help            show this help message and exit
  --quality_grade QUALITY_GRADE
                        Observation quality-grade, values: all, casual, needs_id, research; default research.
  --iconic_taxon ICONIC_TAXON
                        Iconic taxon, values: all, Actinopterygii, Amphibia, Animalia, Arachnida, Aves, Chromista,
                        Fungi, Insecta, Mammalia, Mollusca, Plantae, Protozoa, Reptilia; default all.

Option --quality_grade spcifies the desired quality-grade of the observations to show. By default, only research-grade observations are shown. Alternatively, all quality grades, or only casual and needs_id can be requested.

Option --iconic_taxon allows to restrict the observations to an iconic taxon. This can be used to display observations of e.g. only birds or only plants.

Dependencies

A handful of dependencies need to be installed in order for inat_trails.py to run. Besides Python 3.7 or later, a few packages are needed. On Ubuntu or other Debian-based Linux distributions the dependencies can be installed with:

sudo apt install --yes python3-pip python3-aiohttp python3-fiona python3-shapely
pip3 install folium

On other operating systems, Python 3.7 or later and pip need to be installed first and then the dependencies can be installed with:

pip install aiohttp folium shapely
pip install fiona

Note that pip fails to install fiona on Windows. This blogpost has a workaround.

When appropriate pip3 should be called instead of pip to avoid accidentally installing packages for Python 2.

Geospatial web application developed uisng earthengine, geemap, and streamlit.

geospatial-streamlit Geospatial web applications developed uisng earthengine, geemap, and streamlit. App 1 - Land Surface Temperature A simple, code-f

13 Nov 27, 2022
A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets

Notebooks A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets This repository provides tools

NASA Jet Propulsion Laboratory 27 Oct 25, 2022
A simple reverse geocoder that resolves a location to a country

Reverse Geocoder This repository holds a small web service that performs reverse geocoding to determine whether a user specified location is within th

4 Dec 25, 2021
iNaturalist observations along hiking trails

This tool reads the route of a hike and generates a table of iNaturalist observations along the trails. It also shows the observations and the route of the hike on a map. Moreover, it saves waypoints

7 Nov 11, 2022
The geospatial toolkit for redistricting data.

maup maup is the geospatial toolkit for redistricting data. The package streamlines the basic workflows that arise when working with blocks, precincts

Metric Geometry and Gerrymandering Group 60 Dec 05, 2022
Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.

Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.

Wei Ji 20 Nov 24, 2022
a Geolocator made in python

Geolocator A Geolocator made in python ✨ Features locates ur location using ur ip thats it! 💁‍♀️ How to use first download the locator.py file instal

Portgas D Ace 1 Oct 27, 2021
Imports VZD (Latvian State Land Service) open data into postgis enabled database

Python script main.py downloads and imports Latvian addresses into PostgreSQL database. Data contains parishes, counties, cities, towns, and streets.

Kaspars Foigts 7 Oct 26, 2022
Zora is a python program that searches for GeoLocation info for given CIDR networks , with options to search with API or without API

Zora Zora is a python program that searches for GeoLocation info for given CIDR networks , with options to search with API or without API Installing a

z3r0day 1 Oct 26, 2021
A package to fetch sentinel 2 Satellite data from Google.

Sentinel 2 Data Fetcher Installation Create a Virtual Environment and activate it. python3 -m venv venv . venv/bin/activate Install the Package via pi

1 Nov 18, 2021
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.

r.sim.terrain A short-term landscape evolution model that simulates topographic change for both steady state and dynamic flow regimes across a range o

Brendan Harmon 7 Oct 21, 2022
Track International space station with python

NASA-ISS-tracker Track International space station with python Modules import json import turtle import urllib.request import time import webbrowser i

Nikhil Yadav 8 Aug 12, 2021
A compilation of several single-beam bathymetry surveys of the Caribbean

Caribbean - Single-beam bathymetry This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide ra

Fatiando a Terra Datasets 0 Jan 20, 2022
Xarray backend to Copernicus Sentinel-1 satellite data products

xarray-sentinel WARNING: this product is a "technology preview" / pre-Alpha Xarray backend to explore and load Copernicus Sentinel-1 satellite data pr

B-Open 191 Dec 15, 2022
Read images to numpy arrays

mahotas-imread: Read Image Files IO with images and numpy arrays. Mahotas-imread is a simple module with a small number of functions: imread Reads an

Luis Pedro Coelho 67 Jan 07, 2023
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

A ready-to-use curated list of Spectral Indices for Remote Sensing applications. GitHub: https://github.com/davemlz/awesome-ee-spectral-indices Docume

David Montero Loaiza 488 Jan 03, 2023
Open GeoJSON data on geojson.io

geojsonio.py Open GeoJSON data on geojson.io from Python. geojsonio.py also contains a command line utility that is a Python port of geojsonio-cli. Us

Jacob Wasserman 114 Dec 21, 2022
Enable geospatial data mining through Google Earth Engine in Grasshopper 3D, via its most recent Hops component.

AALU_Geo Mining This repository is produced for a masterclass at the Architectural Association Landscape Urbanism programme. Requirements Rhinoceros (

4 Nov 16, 2022
Implementation of Trajectory classes and functions built on top of GeoPandas

MovingPandas MovingPandas implements a Trajectory class and corresponding methods based on GeoPandas. Visit movingpandas.org for details! You can run

Anita Graser 897 Jan 01, 2023
Global topography (referenced to sea-level) in a 10 arcminute resolution grid

Earth - Topography grid at 10 arc-minute resolution Global 10 arc-minute resolution grids of topography (ETOPO1 ice-surface) referenced to mean sea-le

Fatiando a Terra Datasets 1 Jan 20, 2022