27:null 28:["$","title",null,{"children":"L'écosystème spatial du JavaScript | Riate | Observable"}] 2d:[] 2b:{"id":"c23df80b5293736d","slug":null,"title":"L'écosystème spatial du JavaScript","thumbnail":"3c1450345b26eeb2b19d3384d15a588b069071e01f83c2ab2ac1db6f61864d75","access_level":"public","create_time":"$D2026-04-17T10:55:32.055Z","update_time":"$D2026-04-17T10:55:32.055Z","view_time":null,"first_public_time":"$D2026-05-12T08:19:40.510Z","has_unpublished_edits":null,"fork":{"id":"fcf527ff8c882fb1","slug":"lecosysteme-spatial-du-javascript","title":"L'écosystème spatial du JavaScript","owner":{"id":"6457aadd156df119","login":"neocarto","name":"Nicolas Lambert"}},"stars":0,"starred":false,"owner":{"type":"team","id":"481f46f0ac5d20d8","login":"riate","name":"Riate","avatar_url":"https://avatars-next.observableusercontent.com/49c549201ca74c0c64940ab802ea6944ddd0469dd2143bc60e3d5f495b10e691","tier":"starter_2024"},"version":438,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"01f8081399df8778","login":"neocarto","name":"Nicolas Lambert","avatar_url":"https://avatars-next.observableusercontent.com/c01b6664b447a3bb88f88dbfa170e3ef1d61f3a5b13c2fc613c8da5ef8bccb41","tier":null}],"members":[{"type":"individual","id":"01f8081399df8778","login":"neocarto","name":"Nicolas Lambert","avatar_url":"https://avatars-next.observableusercontent.com/c01b6664b447a3bb88f88dbfa170e3ef1d61f3a5b13c2fc613c8da5ef8bccb41","tier":null,"role":"editor"},{"type":"team","id":"481f46f0ac5d20d8","login":"riate","name":"Riate","avatar_url":"https://avatars-next.observableusercontent.com/49c549201ca74c0c64940ab802ea6944ddd0469dd2143bc60e3d5f495b10e691","tier":"starter_2024","role":"viewer"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"636c1a36b50a6050","slug":"ecole-doctorale","title":"Ecole doctorale","owner":{"id":"481f46f0ac5d20d8","login":"riate","name":"Riate"}},"type":"notebook","body":{"title":"L'écosystème spatial du JavaScript","cells":[{"id":0,"value":"# L'écosystème spatial du JavaScript","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":41,"value":"Ce notebook compile une selection **non exhaustive** des bibliothèques JavaScript utiles pour traiter, analyser et représenter des données géograhiques. Si vous avez des propositions de bibliothèques à ajouter, laissez un commetaire.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":12,"value":"

L'ÉCOSYSTÈME SPATIAL DE D3

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":14,"value":"- ** d3-geo**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":20,"value":"[d3-geo](https://github.com/d3/d3-geo) est le module spatial de d3. Il permet de gérer les projections cartographiques, les formes sphériques et la trigonométrie sphérique. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":95,"value":"md`${previews([\n {\n path: \"@neocartocnrs/some-experiments-with-d3-geo\",\n thumbnail:\n \"50a7c934af9cc26a4526e2a3a4e2ece9b42fbb05a0ddb03b36991c831444db7e\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"- ** d3-geo-projection**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":125,"value":"[d3-geo-projection](https://github.com/d3/d3-geo-projection) est une extension de `d3-geo`/ Cette bibliothèque propose principalement des fonctions de projection supplémentaires.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":18,"value":"- **d3-geo-polygon**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":127,"value":"[d3-geo-polygon](https://github.com/d3/d3-geo-polygon) ajoute des projections polyédriques.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":32,"value":"- ** d3-delaunay** & **d3_geo-voronoi**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":37,"value":"[`d3-delaunay`](https://github.com/d3/d3-delaunay) est une bibliothèque rapide pour calculer le diagramme de Voronoï d'un ensemble de points bidimensionnels. Elle est basée sur Delaunator, une bibliothèque rapide pour calculer la triangulation de Delaunay en utilisant des algorithmes de balayage. Le diagramme de Voronoï est construit en reliant les circonférences des triangles adjacents dans la triangulation de Delaunay. [`d3-geo-voronoi`](https://github.com/Fil/d3-geo-voronoi) est une adaptation de d3-delaunay sur la sphère.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":79,"value":"md`${previews([\n {\n path: \"@neocartocnrs/delaunay-voronoi\",\n thumbnail:\n \"4fa75dfdc73e811513ad6738170f12f3c963940bca14100ab109d70c070b0be7\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"- ** topojson**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":74,"value":"[`TopoJSON`](https://github.com/topojson/topojson) est une extension de GeoJSON. La librairie permet de réaliser des opérations SIG basées sur la topologie (agrégation, voisins, simplification, etc.)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":76,"value":"md`${previews([\n {\n path: \"@neocartocnrs/cheat-sheet-topojson\",\n thumbnail:\n \"38695ae58bb7e0ac3584df2ddca82bec163912d0f088b9dcd35eebb03abf09fb\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":222,"value":"

VIEWERS

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":226,"value":"Basé sur maplibre-gl, [`geoverview`](https://github.com/neocarto/geoverview) est un outil permettant de donner un aperçu géographique rapide et facile de n'importe quel geojson (et des informations qu'il contient). Geoverview est particulièrement adapté pour travailler avec Observable.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":239,"value":"md`${previews([\n {\n path: \"@neocartocnrs/geoverview\",\n thumbnail:\n \"848760534c3ff32786c81185596caa47ac4ac936ef54634c8c175818bf83c88a\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":24,"value":"

SIG

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":26,"value":"- **turf**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":22,"value":"[`turf`](https://turfjs.org/) est une bibliothèque JavaScript pour l'analyse spatiale (de type SIG). Elle comprend les opérations spatiales traditionnelles, des fonctions d'aide pour la création de données GeoJSON, ainsi que des outils de classification des données et de statistiques. L'avantage de turf est d'être modulaire. On ne charge que ce dont on a besoin. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":54,"value":"md`${previews([\n {\n path: \"@neocartocnrs/cheat-sheet-turf-js/2\",\n thumbnail:\n \"15b405a0c7fbad90f3a8921b75284717a589f78d681e8d1b6f5d3d97fbe37bef\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":65,"value":"- **geos-wasm**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":132,"value":"GEOS est un portage en C++ de la Java Topology Suite, une bibliothèque permettant d'effectuer des opérations sur la géométrie planaire. GEOS fournit de nombreux algorithmes utilisés par PostGIS, le package Shapely pour Python, le package sf pour R, et d'autres. [`GEOS-WASM`](https://github.com/chrispahm/geos-wasm) est une version WebAssembly de GEOS.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":135,"value":"md`${previews([\n {\n path: \"@chrispahm/hello-geos-wasm\",\n thumbnail:\n \"069337554beeb16c91e78a9235412f5c244e4def5b3b7e929747869759d48ede\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":28,"value":"- **jsts**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":138,"value":"md`${previews([\n {\n path: \"@neocartocnrs/jsts-library\",\n thumbnail:\n \"3c082503bab42faee8665171e376d88d7daeff73a71bdcb84191a85a930c10af\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":30,"value":"- **geotoolbox**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":93,"value":"[`geotoolbox`](https://github.com/neocarto/geotoolbox) est un outil javascript pour les géographes basé sur d3geo, topojson et jsts. Il permet de traiter simplement les propriétés geojson et fournit plusieurs opérations SIG utiles pour la cartographie thématique.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":87,"value":"md`${previews([\n {\n path: \"@neocartocnrs/hello-geotoolbox\",\n thumbnail:\n \"efe14bfdf3560cf655809841b7b2835037fcbc8c3cf88a18c4730c03b128c54b\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":415,"value":"- **geotogrid**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":413,"value":"[`geogrid`](https://github.com/neocarto/geogrid) est une bibliothèque JavaScript qui vous permet de créer des grilles régulières avec différents motifs sur un plan plat ou sur le globe terrestre. Elle fournit également des fonctions de géotraitement pour transférer des données GeoJSON (points, lignes ou polygones) sur ces grilles. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":407,"value":"md`${previews([\n {\n path: \"@neocartocnrs/hello-geogrid\",\n thumbnail:\n \"5c613413fce13063f2e8d64cc4d60b53d013092dcab63b6a418382a6c6a718d2\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":48,"value":"- **spl.js**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":46,"value":"SpatiaLite est une extension spatiale de SQLite avec des fonctionnalités de base de données géographiques gérant des données vectorielles. Il est similaire à PostGIS, mais SQLite n'est pas basés sur une architecture client-serveur. [`spl.js`](https://github.com/jvail/spl.js) est une implémentation de SpatiaLite (et de ses amis : sqlite, geos, proj, rttopo) pour le navigateur.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":50,"value":"md`${previews([\n {\n path: \"@neocartocnrs/spatialite\",\n thumbnail:\n \"6f040dece1c103ca0ed2a3296ab7e0a2e892ec59c283ade07b838ea01ae8428f\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":324,"value":"- **s2js** est un une implémentation de la bibliothèque [`s2`](http://s2geometry.io/) en JavaScript. Une caractéristique unique de la bibliothèque `s2` est que, contrairement aux systèmes d'information géographique traditionnels, qui représentent les données sous forme de projections plates en deux dimensions (comme un atlas), la bibliothèque S2 représente toutes les données sur une sphère tridimensionnelle (comme un globe).","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":330,"value":"md`${previews([\n {\n path: \"@mthh/trying-out-s2js\",\n thumbnail:\n \"a9bd266d461f717bcd4eb81016c2059d2029c87405c9e3acb71056d5ba25629e\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"

FORMATS DE DONNÉES & PROJECTIONS

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":63,"value":"- **gdal3.js**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":60,"value":"[`Gdals3.js`](https://github.com/bugra9/gdal3.js) est un portage des applications Gdal (gdal_translate, ogr2ogr, gdal_rasterize, gdalwarp, gdaltransform) vers Webassembly. Il permet de convertir des données géospatiales matricielles et vectorielles dans divers formats et systèmes de coordonnées.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":115,"value":"md`${previews([\n {\n path: \"@neocartocnrs/gdal3js\",\n thumbnail:\n \"fc4b3728193619148d4602e502798b0aea0962ecdc6bd095d30241545334afd5\"\n },\n {\n path: \"@neocartocnrs/geoimport\",\n thumbnail:\n \"2c899b4bffe93c091c14b90215c644867758e2f0f3e1f954c95ee75735acc735\"\n },\n {\n path: \"@neocartocnrs/projectgdal\",\n thumbnail:\n \"61d86776c9d64505cc689bc490544b1365fcd9bb23561934de89dd5907057fb0\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":393,"value":"- **geoimport**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":395,"value":"La bibliothèque [geoimport](https://github.com/riatelab/geoimport) est un wrapper de haut niveau autour de gdal3.js qui fournit une interface simple pour convertir des données géospatiales vers et depuis le format GeoJSON, facilitant ainsi l'utilisation de données géospatiales provenant de divers formats sur le Web.\n\nElle est notamment utilisée dans l'application Web [Magrit](https://magrit.cnrs.fr/) pour gérer l'importation/exportation de divers formats de fichiers pris en charge.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":401,"value":"md`${previews([\n {\n path: \"@mthh/hello-geoimport\",\n thumbnail:\n \"9bbcfd11e399865965acf49837009446d7cfc3dc10e9a80e754f976465d8fbaa\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":70,"value":"- **proj4.js**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":98,"value":"md`${previews([\n {\n path: \"@neocartocnrs/proj4js\",\n thumbnail:\n \"9c8f0dd6d37ffa0c01e58d1791fb4460f79668b7e16e02a822573cde3af58213\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"[`proj4js`](http://proj4js.org/) est une bibliothèque JavaScript permettant de transformer les coordonnées d'un système de coordonnées à un autre, y compris les transformations de datum","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":121,"value":"- **topohelper**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":145,"value":"[`topohelper`](https://github.com/AtelierCartographie/topohelper) est une bibliothèque JavaScript basée sur topojson et arquero qui permet de manipuler facilement les fichiers topoJSON.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":148,"value":"md`${previews([\n {\n path: \"@neocartocnrs/topohelper\",\n thumbnail:\n \"b551c313c64398dd3877b9ed91b0a1c7b97c716222ebf032d67f7039f88f677b\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"

CARTOGRAPHIE

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":101,"value":"- **bertin**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":161,"value":"[`bertin`](https://github.com/neocarto/bertin) un une bibliothèque de cartographie thématique. Le principe est de travailler avec des couches empilées les unes sur les autres. Comme dans un SIG, les couches qui sont affichées au-dessus sont placées en haut dans le code, les couches qui sont affichées en dessous sont placées en bas dans le code. Les couches qui peuvent être affichées sont de plusieurs types : en-tête, pied de page, graticule, contour, choro, typo, prop, ombre, barre d'échelle, texte... Chaque type a ses propres paramètres.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":166,"value":"md`${previews([\n {\n path: \"@neocartocnrs/hello-bertin-js\",\n thumbnail:\n \"294f06f5ec90bf0e0960a84240d52d4d84c7bdaf3769de59a394ef1067a00a60\"\n },\n {\n path: \"@neocartocnrs/several-ways-to-represent-dead-and-missing-migrants-in-the-m\",\n thumbnail:\n \"7a50ecb070f74b045fe5e61ea7b9587881770a6e7fe960374c5f33c469556496\"\n },\n {\n path: \"@neocartocnrs/bertin-globe-view\",\n thumbnail:\n \"57966803b3c2faaec76de86f9105e8fc72fce13333aa558a3cbd4ff36879537a\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":103,"value":"- **geoviz**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":171,"value":"[`geoviz`](https://github.com/neocarto/geoviz) est une bibliothèque JavaScript basée sur d3 pour la conception de cartes thématiques. La bibliothèque fournit un ensemble de fonctions compatibles avec d3 que vous pouvez mélanger avec la syntaxe d3 habituelle. Dans Observable, cette bibliothèque vous permet de diviser les couches de la carte en différentes cellules.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":174,"value":"md`${previews([\n {\n path: \"@neocartocnrs/geoviz\",\n thumbnail:\n \"a67c5b2b93a253ba88689bbab29ddb348929d1632e843a8e0e04d65f484ca148\"\n },\n {\n path: \"@neocartocnrs/zooming-with-geoviz\",\n thumbnail:\n \"69d446f63dd0a1a9ff2fd3807b86bd0fd6dec0fec082cedc08b79d686bf8ec6c\"\n },\n {\n path: \"@neocartocnrs/world-population\",\n thumbnail:\n \"85cbc01000ea1770b52359a0ff35926b1276ec1160806df4215f596cb10d3114\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":105,"value":"- **plot**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":204,"value":"Observable [`Plot`](https://github.com/observablehq/plot) est une bibliothèque JavaScript libre pour la visualisation de données tabulaires, destinée à accélérer l'analyse exploratoire des données. Mais elle permet aussi de faire de cartes.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":208,"value":"md`${previews([\n {\n path: \"@neocartocnrs/display-and-project-a-geotiff-with-plot\",\n thumbnail:\n \"41fc4974a3f614e1be0b363889ee928743ad81ba53e188333d484ff631b91535\"\n },\n {\n path: \"@neocartocnrs/some-quick-geo-experiments-with-plot\",\n thumbnail:\n \"738b0165d3a3f66f8dbb2e1198279e7244920d82600619356c0368752eb0bd14\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":345,"value":"- **leaflet**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":347,"value":"[`leaflet`](https://leafletjs.com/) est une bibliothèque JavaScript de cartographie en ligne développée par l'ukrainien Volodymyr Agafonkin et de nombreux contributeurs. Elle est notamment utilisée par le projet de cartographie libre et ouverte OpenStreetMap. `leaflet` fait partie des bibliothèques par défaut chargée dans Observable. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":355,"value":"md`${previews([\n {\n path: \"@observablehq/hello-leaflet\",\n thumbnail:\n \"86d7c86cb381031dc112ab874d742a6f48038c6d35fe9965c48d8d4656bca9b2\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":119,"value":"- **maplibre**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":194,"value":"[`maplibre-gl`](https://github.com/maplibre/maplibre-gl-js) est une bibliothèque JavaScript qui utilise WebGL pour rendre des cartes interactives à partir de tuiles vectorielles et de styles MapLibre. Elle fait partie de l'écosystème MapLibre GL.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":196,"value":"md`${previews([\n {\n path: \"@neocartocnrs/maplibre-gl\",\n thumbnail:\n \"b2ad6a84d5a6fda3ccb8c602831c8cddf745cb3ac0785f80072de678a0d49014\"\n },\n {\n path: \"@neocartocnrs/hello-maplibre\",\n thumbnail:\n \"c3cec475c212e903eef106e326d6bbe5b9e50e4066959e42687597ecd2494ffd\"\n },\n {\n path: \"@bert/terrains-with-maplibre\",\n thumbnail:\n \"3f90f52b4da69dd6dbdb60e860d90e810db1b2bfb2f45855f2ca636ebefca44e\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":111,"value":"- **go-cart-wasm**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":152,"value":"[`Go-cart-wasm`](https://github.com/riatelab/go-cart-wasm) est une bibliothèque JS/WASM pour faire des cartogrammes basés sur le flux (comme décrit dans [Gastner, Seguy, et More (2018). Algorithme rapide basé sur le flux pour créer des projections cartographiques égalisant la densité. Proceedings of the National Academy of Sciences USA, 115:E2156-E2164] (https://www.pnas.org/doi/full/10.1073/pnas.1712674115), purement dans le navigateur.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":155,"value":"md`${previews([\n {\n path: \"@neocartocnrs/go-cart-wasm\",\n thumbnail:\n \"883f2a4f71e2edad396a0e20e4a88f87d8cd8dbe4da2e6999fdae6fc8dd1ca71\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":254,"value":"- **motif.js**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":256,"value":"`motif.js` est un générateur de motifs qui peut être utilisé dans un environnement SVG ou dans un contexte Canvas","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":258,"value":"md`${previews([\n {\n path: \"@ateliercartographie/motif\",\n thumbnail:\n \"1264f9b523e7c7f4df594098b6bbb60d593c7ce8e6070c43c5342cbfbd54e124\"\n },\n {\n path: \"@ateliercartographie/motif-bertin-js\",\n thumbnail:\n \"9319014406a083bec5dcda4be89e4fa366ec197b230a32ca80973d2332c79813\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":364,"value":"

Grilles et carroyages

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":107,"value":"- **gridviz**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":215,"value":"``Gridviz`` (licence [EUPL 1.2](https://github.com/eurostat/gridviz/blob/master/LICENSE)) est une bibliothèque JavaScript basée sur WebGL développée par [Julien Gaffuri](https://observablehq.com/@jgaffuri) et [Joe Davies](https://observablehq.com/@joewdavies). Elle permet de visualiser des données en grille (ou tout ensemble de données tabulaires avec une position x/y) dans le navigateur dans une grande variété de styles cartographiques avancés. Contrairement aux outils traditionnels de cartographie web basés sur des données matricielles, Gridviz rend tout côté client, à la volée. Le répertoire Github est [ici](https://github.com/eurostat/gridviz). La référence de l'API est [ici](https://github.com/eurostat/gridviz/blob/master/docs/reference.md).","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":217,"value":"md`${previews([\n {\n path: \"@neocartocnrs/hello-gridviz\",\n thumbnail:\n \"00d3817a1d99545ad6ff49cbdff4ccf32c905e8cc01b0886186df1512331c853\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":369,"value":"- **h3-js** fournit une version purement JavaScript de la bibliothèque H3, un système de grille géographique basé sur les hexagones sur le globe. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":372,"value":"md`${previews([\n {\n path: \"@neocartocnrs/h3-js\",\n thumbnail:\n \"b62a6bf6f0d77e86a080b323cfa87bf9a67da014750aaa7fe7a60a07908fdb88\"\n },\n {\n path: \"@fil/h3-oddities\",\n thumbnail:\n \"647344602dbbb8748096d999e1cbb0f3ef2423886e64b47e147a7f04fae549f5\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":309,"value":"

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":109,"value":"- **deck-gl**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":228,"value":"[`deck.gl`](https://github.com/visgl/deck.gl) est conçu pour simplifier la visualisation haute performance, basée sur WebGL, de grands ensembles de données. Les utilisateurs peuvent rapidement obtenir des résultats visuels impressionnants avec un minimum d'effort en composant des couches existantes, ou tirer parti de l'architecture extensible de deck.gl pour répondre à des besoins personnalisés.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":230,"value":"md`${previews([\n {\n path: \"@neocartocnrs/eurostat-census-grid-2021\",\n thumbnail:\n \"60110a3a6af6313887b5db492664303fb6b1aad6627178795464f65d232d0a56\"\n },\n {\n path: \"@neocartocnrs/lets-make-an-extruded-map\",\n thumbnail:\n \"e426f26f6aabd5d8038d814e22caa8136492d46283fd5666b7431cf4a428dcba\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":312,"value":"- **THREE.js** ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":314,"value":"`THREE.js` est une bibliothèque JavaScript utilisée pour créer et afficher des graphiques 3D dans un navigateur web à l'aide de WebGL. Il ne s'agit pas d'une bibliothèque dédiée aux données géographiques mais peut très bien être utilisée dans ce cadre. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":316,"value":"md`${previews([\n {\n path: \"@mthh/three-js-contour-map\",\n thumbnail:\n \"e8c4e6ad7ea70a8f0754ab8b9c54c8e4fbf866681adbd085e228f8f68e2116d7\"\n },\n {\n path: \"@mbostock/geojson-in-three-js\",\n thumbnail:\n \"06d3737209382e85375005ddc42bd4bfb9af79c5b8c8f78cba085276f36e4e39\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":271,"value":"

ANAYSE SPATIALE

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":274,"value":"- **fast-kde**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":280,"value":"La bibliothèque [`fast-kde`](https://github.com/uwdata/fast-kde) fournit une approximation très rapide et précise des estimations de la densité du noyau gaussien - [kernel density estimation (KDE)](https://en.wikipedia.org/wiki/Kernel_density_estimation) - en 1D et 2D. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":276,"value":"md`${previews([\n {\n path: \"@uwdata/fast-kde\",\n thumbnail:\n \"d5190289cbbeeb667bfc6d7c8e0b2c8a0854a597ab8287e92f2b84b5202a8f1a\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":293,"value":"- **Potentiels de Stewart**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":298,"value":"Voir description de la méthode ici : https://riatelab.github.io/potential/articles/potential.html#historic-and-conceptual-background","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":295,"value":"md`${previews([\n {\n path: \"@mthh/stewarts-potentials-on-the-gpu\",\n thumbnail:\n \"862786b8f7f83da81658b5c7c735f8c1ab73e0baa48385e586140ed2e65af986\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":288,"value":"

STATISTIQUES POUR LES GÉOGRAPHES

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":380,"value":"- **Autocorrelation spatiale**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":384,"value":"La bibliothèque JavaScript `spatial-autocorrelation` est capable de calculer plusieurs statistiques populaires d'autocorrélation spatiale dans le navigateur. Elle prend en charge les statistiques d'autocorrélation spatiale globale (Moran's I, Geary's C, et Getis-Ord General G) et les statistiques d'autocorrélation spatiale locale (Moran's I local, Geary's C local, Getis-Ord Gi/Gi*).","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":387,"value":"md`${previews([\n {\n path: \"@siliconjazz/spatial-autocorrelation-js\",\n thumbnail:\n \"3153b912ca7776db97412fc7788546a0f2355303fe7ba19ef3ed4b91dffe0580\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":290,"value":"- **webR**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":301,"value":"[`webR`](https://github.com/r-wasm/webr) est une version du langage statistique R compilée en utilisant WebAssembly. Il permet d'exécuter du code R dans le navigateur, directement sur la machine de l'utilisateur. Plusieurs packages R ont également été portés pour être utilisés avec webR.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":304,"value":"md`${previews([\n {\n path: \"@ambassadors/hello-webr\",\n thumbnail:\n \"d86cd36799939604ccbda5a9229297e43c69b8abe21863b6804f5aa9b90a7090\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":422,"value":"

EUROSTAT

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":424,"value":"md`${previews([\n {\n path: \"@eurostat-ws/eurostat-statistics-api\",\n thumbnail:\n \"1e7adc5b4921feb8432e8d03d0baa1f94737cd2b843d7f25c583b93058e1a1b4\"\n },\n {\n path: \"@eurostat-ws/hello-eurostat-map?collection=@eurostat-ws/eurostatmap-js\",\n thumbnail:\n \"98a2607109f4900fa641edaf50f413e45a56156274dec625184594aa39223cf1\"\n }\n])} \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":245,"value":"

DES COMPTES A SUIVRE

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":248,"value":"- Mike Bostock : https://observablehq.com/@mbostock\n- Philippe Rivière : https://observablehq.com/@fil\n- Eric Mauvière : https://observablehq.com/@ericmauviere\n- Jo Wood : https://observablehq.com/@jwolondon\n- Matthieu Viry : https://observablehq.com/@mthh\n- Joe Davies : https://observablehq.com/@joewdavies\n- Julien gaffuri : https://observablehq.com/@jgaffuri ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":7,"value":"## *Appendix*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":9,"value":"import { previews } from \"@d3/gallery\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W2d","stdlib":"1","titling":"auto"}} 2c:"$2b:body"