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- ... + Moving onto week 4, although we were unable to obtain a GPS tracker, my team and I continued to work on + finding solutions for plotting captured pathway locations on a map. We discovered a website guide: a GPS + tracker that uses an SD card to record GPS locations, which can then be + used to plot the coordinates on a map using a Python script with the Cartopy library. Since the website is + relevant to our GPS location project, we decided to use the website as a fundamental foundation to guide, + assist and enhance our SEER Project. +

+ Website link:
https://makersportal.com/blog/portable-gps-tracker-with-arduino +

+ At the current moment, my team and i are limited to only ESP32 NodeMCU and the python script guide (from + makersportal) that is available to + be worked and improved on. Hence, I decided to fill in randomly generated latitude & longtitude around Ngee + Ann Polytechnic in a csv file to try and test if the python script is capable of plotting + the Geo locations on a map. +

+ To plot the pathway map, I used Jupyter Notebook to compile and execute the Python script. Initially, the + execution failed because the Cartopy library was missing. (Cartopy is a Python library for geospatial data + processing and visualization. It is built on top of the Matplotlib library and provides a variety of + features with geospatial data and support map projections.) Thus, using the anaconda prompt, i installed the + library via pip install cartopy.

+

+

- Python script guide from Makersportal -

+

+

+

- How the python script works -

+

+ It works by parsing the GPS coordinates from a CSV file, and then formatting them for use with + Cartopy. Next, it creates a Cartopy GeoAxes object and projects it using the coordinate reference system + (CRS) of a street map. It then sets the extent of the map, adds the street map image, and plots the GPS + points. +


+

- Map output from python script -

+



@@ -174,9 +207,20 @@

- Week 4 -


-

- Week 5 -

+

- Week 5 (Hackathon) -


+

- Day 1 -

+

+ ... +

+
+

- Day 2 -

+

+ ... +

+
+

- Day 3 -

...