itmlogic – Longley-Rice Irregular Terrain Model
Longley-Rice Irregular Terrain Model
itmlogic is a Python implementation of the classic Longley-Rice propagation model (v1.2.2) and capable of estimating the signal propagation effects resulting from irregular terrain.
Model properties and the algorithm defining it are available in:
- Hufford, G. A., A. G. Longley, and W. A. Kissick (1982), A guide to the use of the ITS Irregular Terrain Model in the area prediction mode, NTIA Report 82-100. (NTIS Order No. PB82-217977)
- Hufford, G. A. (1995) The ITS Irregular Terrain Model, version 1.2.2, the Algorithm.
Terrain profile slice: Crystal Palace (South London) to Mursley
Setup and configuration
All code for itmlogic
is written in Python (Python>=3.7).
See requirements.txt for a full list of dependencies.
Conda
The recommended installation method is to use conda, which handles packages and virtual environments, along with the conda-forge channel which has a host of pre-built libraries and packages.
Create a conda environment called itmlogic
:
conda create --name itmlogic python=3.7 gdal
Activate it (run this each time you switch projects):
conda activate itmlogic
First, install optional packages:
conda install numpy fiona shapely rtree rasterio pyproj tqdm pytest
For development purposes, clone this repository and run:
python setup.py develop
Run the tests:
python -m pytest
Quick start
If you want to quickly generate results run using point-to-point mode:
python scripts/qkpfl.py
Or using area prediction mode:
python scripts/uarea.py
Background
The model was developed by the Institute for Telecommunication Sciences (ITS) for frequencies between 20 MHz and 20 GHz (named for Anita Longley & Phil Rice, 1968), and as a general purpose model can be applied to a large variety of engineering problems. Based on both electromagnetic theory and empirical statistical analyses of both terrain features and radio measurements, the Longley-Rice Irregular Terrain Model predicts the median attenuation of a radio signal as a function of distance and the variability of signal in time and in space.
The original NTIA disclaimer states:
The ITM software was developed by NTIA. NTIA does not make any warranty of any kind, express, implied or statutory, including, without limitation, the implied warranty of merchantability, fitness for a particular purpose, non-infringement and data accuracy. NTIA does not warrant or make any representations regarding the use of the software or the results thereof, including but not limited to the correctness, accuracy, reliability or usefulness of the software or the results. You can use, copy, modify, and redistribute the NTIA-developed software upon your acceptance of these terms and conditions and upon your express agreement to provide appropriate acknowledgments of NTIA's ownership of and development of the software by keeping this exact text present in any copied or derivative works.
Thanks for the support
itmlogic was written and developed at the Environmental Change Institute, University of Oxford within the EPSRC-sponsored MISTRAL programme ( EP/N017064/1), as part of the Infrastructure Transition Research Consortium
Contributors
Edward J. Oughton (University of Oxford) Tom Russell (University of Oxford)
If you find an error or have a question, please submit an issue.