Applying GIS, Data Vis. and Deep Learning to environmental science and nuclear emergency responses
Public
Edited
Jun 13, 2023
1 star
Plot.plot({
width: 800,
projection: "equal-earth",
color: {
type: "categorical",
scheme: "Tableau10"
},
marks: [
Plot.graticule(),
Plot.geo(world_fao_zones, {
fill: (d) => d.properties.zone
})
]
})
archive = FileAttachment("World_Fao_Zones.zip").arrayBuffer()
world_fao_zones = resample(await shp(archive))
shp = require("https://unpkg.com/shpjs@latest/dist/shp.js")
import { resample } from "@fil/wgs84-resampling"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
