Published unlisted
Edited
Jun 21, 2022
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//ap30b = d3.csv(csvurl, d3.autoType)
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center = [ap30b[10].LONGITUDE, ap30b[10].LATITUDE]
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// lambda, phi, gamma
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// rotate = [yaw, pitch, roll]
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bs19cell
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// 2.4 => 1132m coverage (1670m ISD), 10=>553m,830m ISD
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bs19cell = d3.json(getURL({ N: Ncells, Radius: ISDtoRadius(ISD) }))
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usa = d3.json("https://cdn.jsdelivr.net/npm/us-atlas@2/us/10m.json")
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GainOffset(90 + 0)
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GainOffset(90 + 10)
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antennapatternAll = FileAttachment("antenna.csv").csv({ typed: true })
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d3.extent(antennapattern, (d) => d.El)
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import { ScaledPolarPlot } from "635e94da1271672f"
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d3.extent(antennapattern, (d) => d.El)
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GainOffset(10)
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// indiaurl = "https://raw.githubusercontent.com/datameet/maps/b3fbbde595310b397a55d718e0958ce249a4fa1f/Country/india-soi.geojson"
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// india2 = d3.json(indiaurl)
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newprop[0]
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selectedues
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// mycolor = d3
// .scaleOrdinal()
// .domain(satlites)
// .range(d3.quantize(d3.interpolateRainbow, satlites.length))
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antennapattern
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Plot.line(hassan, {
marker: true,
x: "Hour",
y: "Altitude",
stroke: "SatID"
}).plot({
width: width,
grid: true,
facet: { data: hassan, y: "SatID", marginRight: 100 },

color: { legend: true }
})
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jodhpur = FileAttachment("jodhpur-final.csv").csv({ typed: true })
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shillong = FileAttachment("shillong-final.csv").csv({ typed: true })
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function CombinedGain(opts) {
var ESelevation = 0; // in degree
var ESelevationToIMT = 0; // in degree
}
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// EarthStation and Gain towards EarthStation in direction
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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.
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