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A small project for parsing and displaying trap data for Holly's masters project

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Guide to updating the data:

Never change rattraps_position.csv directly. Instead, modify ratraps.csv and run join_location_trap.py.

Running join_location_trap.py

  1. Ensure you have at least python 3.7 installed. You can install python from here https://www.python.org/downloads/. You can verify the version of python which is installed by running the command

     python --version
    
  2. Ensure requirements are installed (you only need to do this once). Run the following command.

     pip install requirements.txt
    
  3. Run the program.

     python join_location_trap.py
    

    This will generate a new file data/rattraps_position.csv, containing the trap data and their position. You can do this every time you change the rattraps.csv file to get up to date data.

Note: On Linux/MacOS you may need to run python3 and pip3 instead of python and pip.

Output

The output file latitudes/longitudes are in the EPSG:4326 projection.

They can be imported into the QGIS project (make sure you set the CRS to EPSG:4326) via Layer -> Add Layer -> Add Delimited Text Layer.

The data should look something like this:

Output

or

Output

Depending on whether OpenStreetMaps or LINZ is the base layer.

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A small project for parsing and displaying trap data for Holly's masters project

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