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rysebaert
Engineer in Geographic Information Sciences at UAR RIATE (Université Paris Cité, CNRS)
Published
Climbing in Paris
Edited
Jun 10, 2022
4 stars
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data_fsgt = fsgt.features.map(d => d.properties)
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data_poi = poi.features.map(d => d.properties)
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fsgt = bertin.subgeo({
geojson: poi,
field: "federation",
operator: "==",
array: "FSGT"
})
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data_priv = priv.features.map(d => d.properties)
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priv = bertin.subgeo({
geojson: poi,
field: "federation",
operator: "==",
array: "Private"
})
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## Import libraries and data

Input data is precisely described in the [Dataset Presentation](https://observablehq.com/@rysebaert/dataset-presentation-accessibility?collection=@rysebaert/climbing_paris) notebook. [bertin.js](https://observablehq.com/@neocartocnrs/hello-bertin-js) library is used to create the maps.

All the maps are transformed in the French official map projection (Lambert 93).
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bertin = require("bertin@0.9.18")
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lambert93 = "+proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"
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import {poi} from "@rysebaert/dataset-presentation-accessibility"
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import {com} from "@rysebaert/dataset-presentation-accessibility"
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import {iris} from "@rysebaert/dataset-presentation-accessibility"
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