# Project The class project is a significant component of your learning experience, contributing 25% to your final grade. This project is an opportunity for you to apply the geospatial analytics concepts and techniques we've explored throughout the course to a real-world problem. You are expected to work individually to develop an original project that showcases your analytical skills, creativity, and understanding of geospatial data. ## Major Expectations - **Originality:** Your project must be original, demonstrating your approach to solving a geospatial problem. It should reflect your ability to think critically and innovatively within the field of geospatial analytics. - You do not need to find a novel algorithm or method, but you CANNOT just complete a tutorial from YouTube and submit it as a project. Explore different geospatial projects in research articles, LinkedIn, Medium, or GitHub and try to apply a different set of data to make a slightly different inference. Start thinking about your project as soon as possible. - The project can be related to your dissertation or thesis research. Please ask your PI for permission before using your own research data as part of the class project. - The project must include one or more geospatial analytics techniques we are covering in this course. I know its too early to decide as we have not gone through the lectures yet, but please look at the [schedule](schedule.md) for more information about what type of topics will be covered. - Please reach out to me about your project topic if you have confusion. - **PowerPoint Presentation:** You will present your project to the class in a concise PowerPoint presentation. This presentation should clearly communicate your project’s objectives, methodology, results, and conclusions. More details will follow. - The presentation is for 10 minutes with short Q&A. - You should at least include the background of your problem, clearly state your objectives, the methods, results, discussions and conlcusions. - **Short Report:** Along with your presentation, you will submit a short report (3-4 pages) summarizing your project. The report should include an introduction, a detailed explanation of your methods, your findings, and your conclusions. It should be clear, well-organized, and professionally written. More details will follow. The class project is your chance to demonstrate your mastery of geospatial analytics, so take this opportunity to showcase your skills and insights. ## Rubrics The overall grade for the class project is 25% of your total grade. Within this 25%, following are the major points totaling to 100, which will be weighted by the 25% weight: | | Points | |-----------------------------------|--------| | **Abstract** | 5 | | **Research** | 50 | | **Oral Presentation** | 20 | | **Short Report** | 25 | ### Abstract Please submit your project abstract on Canvas by **October 29, 2024, 10:00 PM CDT**. The abstract is worth 5 points and contributes to your overall project grade. Your abstract should be no longer than 250 words and must include a title followed by a concise overview of your project. Your abstract should follow the structure typically used in scientific publications: 1. **Introduction:** Briefly introduce your topic and define the main problem. 2. **Research Question and Objective:** State the key research question, the objectives of your project, and explain why this work is important. Highlight who could benefit from the findings. 3. **Methods and Data:** Describe the methods you will use and the datasets required for your analysis. 4. **Expected Results and Hypothesis:** Outline the type of results you expect to achieve, and if applicable, mention any hypotheses you are testing. Please submit your abstract as a Word document. ### Research Here is a breakdown of the **Research** component. By **Research**, I am emphasizing the actual work of the class project. Let's say you have provided a great presentation and report, but the research side is weak, this can affect your overall grade. Also this can occur vice-versa. These are breakdown of points which totals to 100: | Topics | Points | |-------------------------------------------------------------------------------------------|--------| | Good title | 5 | | Clear definition of problem | 5 | | Research question(s) / Objective(s) | 10 | | Identification of related research | 10 | | Practicality / scope of the research | 5 | | Data statement (source, processing, ESDA) | 10 | | Use of at least three major geospatial analytics methods (not limited to our lectures) | 30 | | Clear results that address the research question(s) | 15 | | Use of quality figures | 10 | | (Bonus) Discussion of results with other related studies | 10 (Bonus) | | **Total** | **100**| ### Oral Presentation Here is a breakdown of the **Oral Presentation** component which totals to 100: | Topics | Points | |-----------------------------------------------------------|--------| | Background with problem, scope, objectives | 20 | | Clear methodological workflow | 30 | | Results | 20 | | Conclusions | 10 | | Oral presentation quality | 20 | | **Total** | **100**| ### Short Report Here is a breakdown of the **Short Report** component which totals to 100: | Topics | Points | |-----------------------------------------------------------|--------| | Section 1: Background | 15 | | Section 2: Methods | 30 | | Section 3: Results | 20 | | Section 4: Conclusions | 10 | | Study area map figure | 5 | | Workflow figure with | 5 | | Formatting | 5 | | Proper citations and bibliography | 5 | | Overall writing quality | 5 | | **Total** | **100**| ### Report Template Use this template to write your short report. Download report template from [here](https://github.com/souravbhadra/GIS5120/raw/refs/heads/main/project/docs/Short_Report_Template.docx).