This is the antenna performance plotted from tinyGS reception data.

Overview

tinyGS-antenna-map

This is the antenna performance plotted from tinyGS reception data. See their repository.

The code produces a plot that provides Azimuth and Elevation information showing the location in the sky, based on the observer/station, where the satellite reception is successful and packets are uploaded to TinyGS.

My four active stations show very different reception patterns. These are a 433Mhz vertical 1/4 wave antenna, a 433Mhz vertical dipole, a 433Mhz horizontal dipole, and a 1/4 wave 915 Mhz antenna (that has received nothing useful as there aren't any satellites presently transmitting). All are on the East side of the house and somewhat blocked towards the West.

W6LHI

Darker quadrants mean more reception. Individual packets received are the black dots. Packets received with CRC Errors are shown as red dots.

The center of the circle is exactly vertical from the observer/station. The edge of the circle is the horizon (well, kinda!).

For example, if you operate with a simple horizontal dipole, then you would see a bias in the data towards the higher reception direction (90 degrees from the dipole length). If you have a Al/Ez tracking antenna then you should see a very broad reception map.

The program will display the plot on the desktop if it is run in that environment. If you want a CLI process, then look at the -o flag below. The program uses Matplotlib and the install instructions are included - follow them carefully. All instructions are for Debian (and tested on a R.Pi). This code should work on other systems. Any problems? - please use GitHub issues.

Install

Download and install code from GitHub

The best copy of this code is always on GitHub. If you need the git command (and you will) do this part first:

$ sudo apt-get install -y git
...
$

Grab the code via this:

$ git clone https://github.com/mahtin/tinyGS-antenna-map.git
...
$ cd tinyGS-antenna-map
$

Installing required packages (i.e Matplotlib)

Please read and follow the INSTALL-MATPLOTLIB page. Then return here after that is finished.

Install continued

Once Matplotlib is install cleanly the code requires some additional packages/libraries:

$ sudo python3 -m pip install -U -r requirements.txt
...
$

Now the install is finished. Congratulations.

Setting up your user-id

To plot your own graphs from your own stations, you need to know what your own user-id on TinyGS is. The first option is to save it away in a file for all the code to use.

Storing your user-id

Your user-is can be found via various methods.

Assuming you are logged into TinyGS, you can visit https://tinygs.com and click on the User Console icon and then look at the resulting station URL (it will be something like: https://tinygs.com/user/20000007). The same user-id number can be seen in the URL for the per-station page.

user-id

Or, you can use your Telegram TinyGS Personal Bot channel to find your user-id. It's the last number from the passwordless login link you get with the /weblogin command.

user-id

The user-id is the URL provided (see example image).

Copy the number seens and use it to create a .user_id file via the following command:

$ echo '20000007' > .user_id
$

Your number will be different.

Specifying user for each run

If you choose, you specify your user-id manually on each command run. See the -u option below.

Plotting your antenna map

All your stations will be plotted on a single page. Make the displayed page larger if you need.

$ ./tinygs_antenna_map.py

This assumes that you are on a machine with a display. If you are headless, then the following will be useful:

$ ./tinygs_antenna_map.py -o > pretty-graph.png
$ scp pretty-graph.png somewhere-else.example.com:

If Matplotlib sends out warning messages about Connection Refused or Gdk-CRITICAL, it's because you can't connect to the display (even if you are trying to write an image file). This still produces an image. You can fix this by setting the MPLBACKEND environment variable (see Matplotlib builtin backends instructions):

$ MPLBACKEND=Agg ./tinygs_antenna_map.py -o > pretty-graph.png
...
$

tinygs_antenna_map.py options

The tinygs_antenna_map.py program takes various arguments.

tinygs_antenna_map [-v|--verbose] [-h|--help] [-r|--refresh] [-s|--station[,station...]] [-u|--user] user-id]
  • [-v|--verbose] - provide some information on each of the packets being processed/displayed.
  • [-h|--help] - this message.
  • [-r|--refresh] - presently unused; but will pull data from TinyGS site on demand.
  • [-s|--station[,station...]] - list the station or stations to plot. Use comma-seperated (i.e. A,B,C) for more than one station.
  • [-u|--user] user-id] - define the user-id vs using the .user_id file.
  • [-o|--output] - produce a PNG file on stdout (use: tinygs_antenna_map.py -o > diagram.png for example`).

Specifying the station or user-id

To produce a plot for a specific user (for example 20000007):

$ ./tinygs_antenna_map.py -u 20000007

Your number will be different.

To produce a plot for one of your specific stations, use the station name:

$ ./tinygs_antenna_map.py -s W6LHI_433Mhz

To produce a plot for someone else station (and I'm not judging you in anyway):

$ ./tinygs_antenna_map.py -s MALAONE -u 0

(No idea who MALAONE is). Note the -u 0 argument. This overtides your .user_id file if it exists (as this station is a different user).

Data refresh

The program can be run many times; however it will only collect new data from TinyGS API no-and-again. This is to reduce the load on their servers.

  • Packet data is updated at-best every twelve hours
  • Station data is updated at-best every five days
  • TLE data is updated at-best every two days

Should you want to force a data refresh, then use the -r flag. Don't blame me if you get banned from the site.

$ ./tinygs_antenna_map.py -r

I don't recommend using that flag.

Adding antenna direction graphics to the plot(s)

If you want to superimpose an antenna direction on the graphs; use the following examples:

An simple antenna direction for all ploted stations:

$ ./tinygs_antenna_map.py -a 220

An antenna direction for a specific ploted station:

$ ./tinygs_antenna_map.py -a [email protected]_433Mhz

An antenna direction for more than one ploted station:

$ ./tinygs_antenna_map.py -a [email protected]_433Mhz,[email protected]_433Mhz_2

The numbers are in degress and the comma seperated list must contain valid station names.

Owner
Martin J. Levy
Roaming the planet; one packet at a time! PGP: 7EA1 39C4 0C1C 842F 9D41 AAF9 4A34 925D 0517 2859 Ham operator: W6lHI/G8LHI
Martin J. Levy
A modern, geometric typeface by @chrismsimpson (last commit @ 85fa625 Jun 9, 2020 before deletion)

Metropolis A modern, geometric typeface. Influenced by other popular geometric, minimalist sans-serif typefaces of the new millenium. Designed for opt

Darius 183 Dec 25, 2022
FDTD simulator that generates s-parameters from OFF geometry files using a GPU

Emport Overview This repo provides a FDTD (Finite Differences Time Domain) simulator called emport for solving RF circuits. Emport outputs its simulat

4 Dec 15, 2022
Python tools for geographic data

GeoPandas Python tools for geographic data Introduction GeoPandas is a project to add support for geographic data to pandas objects. It currently impl

GeoPandas 3.5k Jan 03, 2023
Python renderer for OpenStreetMap with custom icons intended to display as many map features as possible

Map Machine project consists of Python OpenStreetMap renderer: SVG map generation, SVG and PNG tile generation, Röntgen icon set: unique CC-BY 4.0 map

Sergey Vartanov 0 Dec 18, 2022
geemap - A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

Qiusheng Wu 2.4k Dec 30, 2022
Tool to suck data from ArcGIS Server and spit it into PostgreSQL

chupaESRI About ChupaESRI is a Python module/command line tool to extract features from ArcGIS Server map services. Name? Think "chupacabra" or "Chupa

John Reiser 34 Dec 04, 2022
A python package that extends Google Earth Engine.

A python package that extends Google Earth Engine GitHub: https://github.com/davemlz/eemont Documentation: https://eemont.readthedocs.io/ PyPI: https:

David Montero Loaiza 307 Jan 01, 2023
A ninja python package that unifies the Google Earth Engine ecosystem.

A Python package that unifies the Google Earth Engine ecosystem. EarthEngine.jl | rgee | rgee+ | eemont GitHub: https://github.com/r-earthengine/ee_ex

47 Dec 27, 2022
Pure python WMS

Ogcserver Python WMS implementation using Mapnik. Depends Mapnik = 0.7.0 (and python bindings) Pillow PasteScript WebOb You will need to install Map

Mapnik 130 Dec 28, 2022
This is a simple python code to get IP address and its location using python

IP address & Location finder @DEV/ED : Pavan Ananth Sharma Dependencies: ip2geotools Note: use pip install ip2geotools to install this in your termin

Pavan Ananth Sharma 2 Jul 05, 2022
Python project to generate Kerala's distrcit level panchayath map.

Kerala-Panchayath-Maps Python project to generate Kerala's distrcit level panchayath map. As of now, geojson files of Kollam and Kozhikode are added t

Athul R T 2 Jan 10, 2022
Water Detect Algorithm

WaterDetect Synopsis WaterDetect is an end-to-end algorithm to generate open water cover mask, specially conceived for L2A Sentinel 2 imagery from MAJ

142 Dec 30, 2022
A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

Terracotta is a pure Python tile server that runs as a WSGI app on a dedicated webserver or as a serverless app on AWS Lambda. It is built on a modern

DHI GRAS 531 Dec 28, 2022
Python Data. Leaflet.js Maps.

folium Python Data, Leaflet.js Maps folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js

6k Jan 02, 2023
A part of HyRiver software stack for handling geospatial data manipulations

Package Description Status PyNHD Navigate and subset NHDPlus (MR and HR) using web services Py3DEP Access topographic data through National Map's 3DEP

Taher Chegini 5 Dec 14, 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
Client library for interfacing with USGS datasets

USGS API USGS is a python module for interfacing with the US Geological Survey's API. It provides submodules to interact with various endpoints, and c

Amit Kapadia 104 Dec 30, 2022
gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data

gpdvega gpdvega is a bridge between GeoPandas a geospatial extension of Pandas and the declarative statistical visualization library Altair, which all

Ilia Timofeev 49 Jul 25, 2022
A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.

What does it do? Given a location and a date, it uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed

Caio 42 Nov 26, 2022
Google maps for Jupyter notebooks

gmaps gmaps is a plugin for including interactive Google maps in the IPython Notebook. Let's plot a heatmap of taxi pickups in San Francisco: import g

Pascal Bugnion 747 Dec 19, 2022