1d:{"title":"Atlas Hackathon Developer Guide","cells":[{"id":207,"value":"

${nbTitle}

\n $\"Logo$ \n $\"Alliance$ \n $\"CGIAR$ \n

\n \n $\"Main$ \n

","pinned":false,"hidden":false,"mode":"html"},{"id":27,"value":"tocOneliner({skip: [nbTitle]})","pinned":false,"hidden":false,"mode":"ojs"},{"id":149,"value":"# Suggested Structure for Your Observable Notebook\n\nWhen creating your project, think of it as telling a story with data. We recommend following this general arc:\n\n1. **Introduction**\n\n * Briefly set the stage: What’s the topic? Why does it matter?\n * Provide any relevant context so the reader can follow along without prior knowledge.\n\n2. **Question Sections**\n\n * Organize your notebook into sections that address specific questions or subtopics.\n * Use visuals and text together to explain insights clearly.\n\n3. **Conclusion**\n\n * Summarize your key findings.\n * Reflect on any limitations or next steps.\n\n4. **Methods & Sources**\n\n * Cite all data sources used in the challenge.\n * Include links to code (e.g., GitHub, Google Colab) used for analysis or data preparation.\n * Mention any processing, cleaning, or transformation steps.\n","pinned":false,"hidden":false,"mode":"md"},{"id":85,"value":"# Datasets\n\nThese datasets are required in the sense that they form the official data resources for this hackathon. You don’t need to use all of them in every submission, but if your project requires certain data (e.g., administrative boundaries), you should use the datasets provided here. This ensures consistency across submissions and makes your results easier to compare and evaluate.","pinned":false,"hidden":false,"mode":"md"},{"id":44,"value":"$1f","pinned":false,"hidden":false,"mode":"md"},{"id":37,"value":"# Helpful Imports and Styling\nThese are already loaded into the [default notebook template](https://observablehq.com/d/41ca4f33b9a5a2ff) for you to use.\n","pinned":false,"hidden":false,"mode":"md"},{"id":173,"value":"Import stylesheet with:\n```js\nimport {atlas_stylesheet} from \"8a953dc1cde63a86\"\n```","pinned":false,"hidden":false,"mode":"md"},{"id":17,"value":"$20","pinned":false,"hidden":false,"mode":"ojs"},{"id":180,"value":"Import table of contents with:\n```js\nimport {tocOneliner} from \"8a953dc1cde63a86\"\n```","pinned":false,"hidden":false,"mode":"md"},{"id":25,"value":"$21","pinned":false,"hidden":false,"mode":"ojs"},{"id":125,"value":"$22","pinned":false,"hidden":false,"mode":"md"},{"id":48,"value":"# Additional Resources\n- [**Notebook Starter Template**](https://observablehq.com/d/41ca4f33b9a5a2ff)\n- [**Existing Adaptation Atlas Notebooks**](https://observablehq.com/collection/@adaptationatlas/data-explorations)\n- [**Example:** Use Python and Google Earth Engine to process soil data](https://colab.research.google.com/drive/1Cz8G1uUn6pdvadVjq9ikppyFeU36uE-3?usp=sharing)\n- [Adaptation Atlas Data Guide](https://adaptationatlas.github.io/data-management/structure.html)\n- [Atlas Data FAQ](https://adaptationatlas.github.io/data-management/faq.html)\n- [Observable JS Documentation](https://observablehq.com/documentation/cells/observable-javascript)\n- [Observable JS vs vanilla Javascript](https://observablehq.com/@observablehq/observable-javascript)\n- [Data wrangling in JS vs R, Python, and SQL](https://observablehq.com/@observablehq/data-wrangling-translations)\n- [Adaptation Atlas ObservableHQ](https://observablehq.com/@adaptationatlas)\n- [Zindi Challenge Link]()","pinned":false,"hidden":false,"mode":"md"},{"id":187,"value":"### Some nice examples to get some ideas flowing\n- https://observablehq.com/@tomlarkworthy/notebooks2021\n- https://observablehq.com/collection/@observablehq/instagram-shares\n- https://observablehq.com/@yuqiliao/enso-affects-vietnam?collection=@observablehq/adb-visualizing-climate-change-resilience-challenge-subm\n- https://observablehq.com/@irenedelatorre/prototypes-new-cases-of-coronavirus?collection=@irenedelatorre/d3-js\n- https://observablehq.com/@periscopic/adb-visualizing-climate-change-resilience-challenge?collection=@observablehq/adb-visualizing-climate-change-resilience-challenge-subm\n- https://observablehq.com/@jake-low/how-well-does-population-density-predict-u-s-voting-outcome\n- https://observablehq.com/@irenedelatorre/only-6-of-the-nobel-prize-winners-are-women?collection=@irenedelatorre/d3-js","pinned":false,"hidden":false,"mode":"md"},{"id":42,"value":"# Appendix\nThis section is all the underlying code and variables to power the notebook","pinned":false,"hidden":false,"mode":"md"},{"id":29,"value":"nbTitle = \"Atlas Hackathon Developer Guide\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":248,"value":"import {pest_db} from \"b2a8f20822affaca\"\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":250,"value":"{\npest_db.query(`SELECT * FROM pest_performance WHERE model = 'ENSEMBLEmean' LIMIT 6`)\nconst someData = await pest_db.query(`SELECT * FROM pest_yieldImpact WHERE model = 'ENSEMBLEmean'`)\n return someData\n}","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W23","stdlib":"1"}