28:null 29:["$","title",null,{"children":"Visualizing Significant Earthquakes | Daniel Sauter | Observable"}] 2f:[{"id":"254a99fef9cfdc739794cf276a25ffce226b9d17d64789497bbed4935f1fda7d621149894d3a06e546f0e5c53beda2580db0166433ff2fac65397af1aa3627ea","href":"https://static.observableusercontent.com/files/254a99fef9cfdc739794cf276a25ffce226b9d17d64789497bbed4935f1fda7d621149894d3a06e546f0e5c53beda2580db0166433ff2fac65397af1aa3627ea","name":"countries-50m.json","type":"application/json","lastModified":1706745578690.544,"size":756420}] 2c:{"id":"442cf53e094b9b80","slug":null,"title":"Visualizing Significant Earthquakes","thumbnail":"6666a42e6637d1a598e075b05052e7af00e6a8b1bfcee6cab3358bf99627cb34","access_level":"public","create_time":"$D2024-01-31T23:59:38.690Z","update_time":"$D2024-02-27T00:28:16.629Z","view_time":null,"first_public_time":"$D2024-01-31T23:59:38.690Z","fork":{"id":"305227651b1938c9","slug":"d3-world-map","title":"D3 world map","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"stars":1,"starred":false,"owner":{"type":"team","id":"9ad391249c962e00","login":"danielsauter","name":"Daniel Sauter","avatar_url":"https://avatars-next.observableusercontent.com/315fb089e5cbaebcd2c595f08880d7cf2022311f58b88dd506c0bf161536dff0","tier":"starter_2024"},"version":324,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"a79809c885be4a06","login":"danielsauter","name":"Daniel Sauter","avatar_url":"https://avatars-next.observableusercontent.com/315fb089e5cbaebcd2c595f08880d7cf2022311f58b88dd506c0bf161536dff0","tier":null}],"members":[{"type":"individual","id":"a79809c885be4a06","login":"danielsauter","name":"Daniel Sauter","avatar_url":"https://avatars-next.observableusercontent.com/315fb089e5cbaebcd2c595f08880d7cf2022311f58b88dd506c0bf161536dff0","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":14,"collection":null,"type":"notebook","body":{"title":"Visualizing Significant Earthquakes","cells":[{"id":0,"value":"# Visualizing Significant Earthquakes","pinned":false,"hidden":false,"mode":"md"},{"id":124,"value":"Data Sources\nhttps://earthquake.usgs.gov/earthquakes/feed/\nSignificant Earthquakes\nCSV format:\n- https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/significant_month.csv\n- https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/significant_week.csv\n- https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/significant_hour.csv\n\nGoogle Sheet:\n- Shared Google Sheet URL https://docs.google.com/spreadsheets/d/1-3Tzt9N4gAOj9sBNiFhBCRa1e8xQbyUKkkVfHr1N40Y/edit\n- Load from Google Sheet [starter code](https://observablehq.com/d/615a1dec799a2197)\n\nGeoJSON format:\n- https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/significant_hour.geojson","pinned":false,"hidden":false,"mode":"md"},{"id":289,"value":"### Activities\n\nAnswer the following questions and implement the following prompts in your own notebook:\n\n1. Review the CSV data. What is the magnitude minimum and maxiumum of the significant earthquakes over the pats month? [Edit this Markdown cell and add the answer as `inline code`]\n2. What is the distributiohn of all earthquakes over the past month?\n3. Visualizing the significant earthquakes over the past month, scale the circles so that they are 2px for the smallest magnitude and 10px for the highest magnitude\n4. Change the fill and stroke settings to match the LaserLab requirements. Borders should be visible, globe outline should be set to vector cut, circles and labels set to vector engraving, and land set to raster engraving\n5. Download svg and open in Illustrator to check if it could be cut\n6. Import the CSV data from the Google spreadsheet linked above\n7. Optional: load data as GeoJSON","pinned":false,"hidden":false,"mode":"md"},{"id":29,"value":"map = html``","pinned":true,"hidden":false,"mode":"ojs"},{"id":131,"value":"earthquakes = () => {\n let quake = significantEarthquakes.map(d => {\n let loc = projection([d.longitude, d.latitude]) \n console.log(loc, d.place)\n return `${d.place}`\n }).join('')\n return quake\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":142,"value":"magnitude = d3.scaleSqrt().range([2, 10]).domain(d3.extent(significantEarthquakes, d => d['mag']))","pinned":true,"hidden":false,"mode":"ojs"},{"id":276,"value":"import {sheetsURL} from \"615a1dec799a2197\"\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":122,"value":"significantEarthquakes = d3.csv(\n // sheetsURL\n \"https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_week.csv\"\n // \"https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_week.csv\"\n\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":4,"value":"projection = d3.geoEqualEarth()","pinned":true,"hidden":false,"mode":"ojs"},{"id":86,"value":"Many other projections are available. [Browse them here](https://observablehq.com/collection/@d3/d3-geo-projection).","pinned":false,"hidden":false,"mode":"md"},{"id":40,"value":"path = d3.geoPath(projection)","pinned":true,"hidden":false,"mode":"ojs"},{"id":25,"value":"height = {\n const [[x0, y0], [x1, y1]] = d3.geoPath(projection.fitWidth(width, outline)).bounds(outline);\n const dy = Math.ceil(y1 - y0), l = Math.min(Math.ceil(x1 - x0), dy);\n projection.scale(projection.scale() * (l - 1) / l).precision(0.2);\n return dy;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":22,"value":"outline = ({type: \"Sphere\"})","pinned":true,"hidden":false,"mode":"ojs"},{"id":114,"value":"graticule = d3.geoGraticule10()","pinned":true,"hidden":false,"mode":"ojs"},{"id":16,"value":"land = topojson.feature(world, world.objects.land)","pinned":true,"hidden":false,"mode":"ojs"},{"id":105,"value":"borders = topojson.mesh(world, world.objects.countries, (a, b) => a !== b)","pinned":true,"hidden":false,"mode":"ojs"},{"id":13,"value":"world = FileAttachment(\"countries-50m.json\").json()","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W2f","stdlib":"1","titling":"auto"}} 2d:"$2c:body"