Beginner-Friendly Talk on Time Series Analysis of Geospatial Data to track Sustainable Development Goals using Open Data and Open Source Software

[jyoti-bhogal]

Title of the talk

Time Series Analysis of Geospatial Data to track Sustainable Development Goals using Open Data and Open Source Software

Description

1. Speaker Introduction: My journey of using Free and Open Source Software started during my Bachelor’s degree. R was the first ever programming language I used, making me a later bloomer in the tech space. However, there was no stopping once I got the hang of it. The fact that this software is totally free, helped me - a college student back then, to start programming. The flexibility and community-driven nature of open-source tools helped me pace up and collaborate. 

2. Value to Attendees: From this talk, the attendees will gain insights into the intersection of the power of FOSS in driving positive social impact, data visualization, and environmental sustainability.

3. Problem Statement: The United Nations have defined 17 Sustainable Development Goals. In this work, I have focused on Goal 13: Climate Action - Indication 2, which is to control the emissions of greenhouse gasses per year.

4. Dataset: I used free and open data from NASA Earth Observation data about the daily average values of assimilated CO2. It was recorded by the Orbiting Carbon Observatory-2 (OCO-2) for the duration Jan 2015 through Feb 2022. 

5. Data Preprocessing: I manipulated the data, and created two kinds of data visualization - one is a world map view to see the variations in the different regions. Another one is a user interactive time series plot to see the global trends over time at one glance. 

6. Key Observation: Following table shows how the global average value has changed over time: 

Time	Global Average CO2 Assimilated
Jan 2015	390 ppm
Feb 2022	418 ppm

7. The average value has increased more than expected.

8. Conclusion: Reflecting on total GHG emissions, the progress on Indicator 2 seems to fall short of anticipated targets of a 43% reduction in GHG emissions by 2030 starting from 2010, culminating in net-zero emissions by 2050. Addressing this shortfall requires not only governmental policies but also individual contributions. Transitioning to green fuel vehicles, re-assessing agricultural practices like Stubble burning, increasing vegetation cover, and embracing recycling and reuse initiatives stand as actionable steps towards a sustainable future.

URL of video demo of the Interactive Visual: Time Series of Global Average CO2 Assimilated between 2015 through 2022

For more details about the code and for using the interactive plots, please check out my blog CO2 Chronicles: Navigating SDGs with Data Visuals !

Table of contents

1. Speaker Introduction
2. Value to Attendee
3. Problem Statement
4. Dataset
5. Data Preprocessing
6. Creating Interactive Data Visualisation
7. Key Observations
8. Conclusions

Duration (including Q&A)

25 minutes

Prerequisites

Basic understanding of a time series dataset.

Speaker bio

Jyoti is a trained Statistician, a Software Quality Engineer, and a Data Modeler. She can help you solve Statistical and Data Analytics problems using tools like R language, Python language, JavaScript, and MS Excel. She has been working in Clinical Sciences since 2020; and has developed expertise in principles of good software development life cycle, and Clinical Trials R&D cycle.
She is an open source enthusiast, and is keen on giving the young minds the exposure to the unconventional yet essential roles in tech.

Please reach out to me on LinkedIn at Jyoti Bhogal - LinkedIn

The talk/workshop speaker agrees to

• Share the slides, code snippets and other material used during the talk

• If the talk is recorded, you grant the permission to release
  the video on PythonPune's YouTube
  channel
  under CC-BY-4.0
  license

• Not do any hiring pitches during the talk and follow the Code
  of
  Conduct

[bhavin192]

Hello @jyoti-bhogal, thank you for the proposal. Will you be able to present it in this month's meetup which is on 10th Feb?
The location: Prabhat Road (I will be updating the details on meetup.com soon).

https://www.meetup.com/pythonpune/events/298900151/

[jyoti-bhogal]

Dear @bhavin192,
Thank you so much for the opportunity!
Yes, I will be able to give my talk on 10th February, 2024.

Could you please help me with the following questions:

1. What is your expected approximate duration of talk?
2. Would the session be recorded?
3. Does the community have funds to give honorarium to the speakers?
4. Are the speakers supported in the form of say, travel allowance, etc?

In either case, looking forward to meet you all :)
Thanks in advance!

[bhavin192]

Thank you for confirming. Added the talk to the meetup page.

1. As you are planning for a ~30 minutes talk. It is fine if it goes beyond that (around 45 minutes).
2. We will try to but cannot promise. Recording becomes tricky at times, we will try to do that.
3. Nope. Given the whole meetup group is community driven and not backed by a company or legal entity, we don't have any funds. Few of us pay for the domain and sometimes snacks during the meetup along with venue sponsors.
4. Same as 3.

[jyoti-bhogal]

Dear @bhavin192 ,

I want to share the slide deck for the presentation that I gave on 10th Feb for the February 2024 Python Pune Meetup.
Where should I add the deck? Could you please lead me to an appropriate folder in this Github repository?

Also, Avoma Inc. had also recorded the session. Are they willing to share it with you and/or the speakers?