NewMapGen.py

python NewMapGen.py <data_input_file> [--no-points] [--scale-factor <value>] [--no-normalization]

MapGen.py

MapGen is a simple Python script that plots data from a radiacode101 track file with the ability to adjust several display and output options.

Requirements

• Python 3
• pandas
• numpy
• matplotlib

Usage

python MapGen.py [file] [-a] [-m] [-g [grid_size]] [-c [cmap]] [-d [dpi]] [-v] [-s] [-f [font_size]]

Options

• file: Input file name (required)
• -a/--annotations: Enables plot annotations
• -m/--marker: Disables the circular marker
• -g/--grid_size: Grid size (default: 500)
• -c/--cmap: Colormap type (default: 'jet')
• -d/--dpi: dpi of the saved image (default: 500)
• -v/--view: Enables plot.show()
• -s/--save: Enables plot.savefig()
• -f/--font_size: Annotation font size (default: 8)

Examples

python MapGen.py track.rctrk -a -m -v

This will plot the data in track.rctrk, with annotations enabled and markers disabled, and display it on the screen.

python MapGen.py track.rctrk -s

This will plot the data in track.rctrk and save it as map.png in the working directory.

python MapGen.py track.rctrk -g 1000 -c viridis -f 10 -d 300 -v

This will plot the data in track.rctrk, with grid size 1000, colormap type 'viridis', font size 10, dpi 300 and display the plot on screen.

DensityHeatMapGen.py

This code uses the folium library to create a heatmap overlay of walking dose rate data on an interactive map. The data is loaded from a .rctrk file and plotted on a map centered at the mean coordinates of the data points. The heatmap is customizable with options for blur, opacity, and visibility.

There are issues with this code.. It's making a heatmap based on the density of the points instead of the measured dose rate of those points

This file was my first attempt to create an interpolated map. It was a good learning experience but it is not generated a map based on doserate -- instead it's generating based on measurement density, which in my opinion is basically useless for this specific use case of creating maps for a radiacode101. Currently it's generating the heatmap based on a concentration of points instead of doserate values, see more here if you want to learn about that:

https://gis.stackexchange.com/questions/256/building-effective-heat-maps

Usage

python DensityHeatMapGen.py [input file name] [options]

Options

-z, --zoom Map zoom level (default: 15)

-b, --blur Heatmap blur level (default: 20)

-o, --opacity Heatmap opacity (default: 0.01)

Example

python DensityHeatMapGen.py track.rctrk -z 12 -b 15 -o 0.05

Requirements

folium pandas argparse webbrowser

Output

The script generates an HTML file named "map.html" which displays the heatmap and opens it in the system's default web browser.