We developed a heatmap which shows the changing value in the quality of air and water overtime. This project can be used to create awareness about the deteriorating conditions of air and water quality among the people and make them more sustainable towards those conditions. This project will help the users to find out the changes occurring in different places as the heat map flickers. The users can see the data, indicators used and other information just by hovering over the region they are interested in. They can also change the time series to different dates in which they are interested to compare the changes that occurred overtime. We hope to make the user gets direct idea about the factors that are changing from our project.

We first brainstormed ideas and came to the conclusion that we would create a web application and use python for visualization of the data. Then we used the provided dataset files and cleaned it. This included filling up and removing the NaN values, arranging the data in ascending order of time, and so on. After that, we plotted the data on the map with the help of python language which would show how the data are changing over time. Then the map was exported in HTML format with all the features.

The problem that we had was we were not able to plot the data in time series. The problem was addressed by reconverting the time data from panda date time object to python object after the data was arranged according to time.

We used the water quality over -time csv file and the N2 quality csv file for our project provided in the resources list. Those files were first filtered, then arranged according to time and finally the refined data were used to visualize the map in time series. The map was plotted with the given coordinates of the location and the intensity of the heatmap was determined by the measurement values in the given datasets. Time series was created by the time of the data collection in the datasets.

Slide link:

https://docs.google.com/presentation/d/1o-c-aCTMyODhae0rmqHLwQiwlIHZ4NAQ3VNUxA0JFsU/edit?usp=sharing

Web site link:

https://hack3rm3n.github.io/EOHackathon-Project

Our maps could be used in EO Dashboard so the user will have a crystal clear idea of the data that are changing as they will be able to see the data values through a heat map. They can see the value of data just by hovering over the region they are interested in and seeing the changes that occurred over time just by sliding the time durations.

Project code:

https://github.com/Hack3rM3N/EOHackathon-Project

We took the provided dataset from Github then we filtered it in order to get better visualization. Dataset was used in the visualization of water and air quality in globe and maps. With the help of the following dataset, we were able to reflect the change of indicators over time. While representing it in maps, we used library files such as plotly, plotly.express, and pandas et cetera.

Water Quality Time Series

https://github.com/eurodatacube/eodash/blob/master/app/public/data/trilateral/N3b.csv

CO2 Time Series

https://github.com/eurodatacube/eodash/blob/master/app/public/data/trilateral/N2.csv

#air quality #water quality #visualization #globe #map #web application #python #jupiter #changeovertime

This project has been submitted for consideration during the Judging process.