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En el instante 24 de octubre de 2025, 0:46:57 UTC,
albertogarob:
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Añadido recurso Visualizando la movilidad en Querétaro: análisis de simulaciones urbanas sobre redes viales complejas a Visualizando la movilidad en Querétaro: análisis de simulaciones urbanas sobre redes viales complejas
| f | 1 | { | f | 1 | { |
| 2 | "author": "Alberto Garc\u00eda Robledo, Mahboobeh Zangiabady", | 2 | "author": "Alberto Garc\u00eda Robledo, Mahboobeh Zangiabady", | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | 4 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | ||
| 5 | "extras": [ | 5 | "extras": [ | ||
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| 7 | "key": "Identificador hash", | 7 | "key": "Identificador hash", | ||
| 8 | "value": "64e9c327857c" | 8 | "value": "64e9c327857c" | ||
| 9 | }, | 9 | }, | ||
| 10 | { | 10 | { | ||
| 11 | "key": "Instituciones", | 11 | "key": "Instituciones", | ||
| 12 | "value": "SECIHTI-CentroGeo, University of Twente" | 12 | "value": "SECIHTI-CentroGeo, University of Twente" | ||
| 13 | }, | 13 | }, | ||
| 14 | { | 14 | { | ||
| 15 | "key": "Subt\u00edtulo", | 15 | "key": "Subt\u00edtulo", | ||
| 16 | "value": "Un dashboard interactivo que permite estudiar | 16 | "value": "Un dashboard interactivo que permite estudiar | ||
| 17 | din\u00e1micas de tr\u00e1fico vehicular en zonas cr\u00edticas de la | 17 | din\u00e1micas de tr\u00e1fico vehicular en zonas cr\u00edticas de la | ||
| 18 | ciudad mediante datos simulados" | 18 | ciudad mediante datos simulados" | ||
| 19 | }, | 19 | }, | ||
| 20 | { | 20 | { | ||
| 21 | "key": "Tipo", | 21 | "key": "Tipo", | ||
| 22 | "value": "Art\u00edculo en l\u00ednea" | 22 | "value": "Art\u00edculo en l\u00ednea" | ||
| 23 | }, | 23 | }, | ||
| 24 | { | 24 | { | ||
| 25 | "key": "URL", | 25 | "key": "URL", | ||
| 26 | "value": | 26 | "value": | ||
| 27 | vereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/" | 27 | vereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/" | ||
| 28 | } | 28 | } | ||
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| 35 | "image_display_url": "", | 35 | "image_display_url": "", | ||
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| 46 | "metadata_created": "2025-10-24T00:46:56.989191", | 46 | "metadata_created": "2025-10-24T00:46:56.989191", | ||
| n | 47 | "metadata_modified": "2025-10-24T00:46:56.989201", | n | 47 | "metadata_modified": "2025-10-24T00:46:57.643745", |
| 48 | "name": "64e9c327857c", | 48 | "name": "64e9c327857c", | ||
| 49 | "notes": "Este art\u00edculo presenta un ejercicio demostrativo del | 49 | "notes": "Este art\u00edculo presenta un ejercicio demostrativo del | ||
| 50 | uso de Dash Sylvereye, una biblioteca desarrollada por el Observatorio | 50 | uso de Dash Sylvereye, una biblioteca desarrollada por el Observatorio | ||
| 51 | Metropolitano CentroGeo, para representar datos simulados de | 51 | Metropolitano CentroGeo, para representar datos simulados de | ||
| 52 | tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | 52 | tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | ||
| 53 | construy\u00f3 un dashboard interactivo que permite explorar | 53 | construy\u00f3 un dashboard interactivo que permite explorar | ||
| 54 | din\u00e1micas temporales sobre una red vial real, usando datos | 54 | din\u00e1micas temporales sobre una red vial real, usando datos | ||
| 55 | generados con el simulador SUMO. Este ejemplo permite ilustrar | 55 | generados con el simulador SUMO. Este ejemplo permite ilustrar | ||
| 56 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | 56 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | ||
| 57 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | 57 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | ||
| 58 | planificaci\u00f3n en zonas metropolitanas.", | 58 | planificaci\u00f3n en zonas metropolitanas.", | ||
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| 84 | "description": "Este art\u00edculo presenta un ejercicio | ||||
| 85 | demostrativo del uso de Dash Sylvereye, una biblioteca desarrollada | ||||
| 86 | por el Observatorio Metropolitano CentroGeo, para representar datos | ||||
| 87 | simulados de tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | ||||
| 88 | construy\u00f3 un dashboard interactivo que permite explorar | ||||
| 89 | din\u00e1micas temporales sobre una red vial real, usando datos | ||||
| 90 | generados con el simulador SUMO. Este ejemplo permite ilustrar | ||||
| 91 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | ||||
| 92 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | ||||
| 93 | planificaci\u00f3n en zonas metropolitanas.", | ||||
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| 101 | "name": "Visualizando la movilidad en Quer\u00e9taro: | ||||
| 102 | an\u00e1lisis de simulaciones urbanas sobre redes viales complejas", | ||||
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| 143 | }, | 177 | }, | ||
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| 146 | "id": "58e80cc1-537a-4e18-9e1a-05196c9bce9e", | 180 | "id": "58e80cc1-537a-4e18-9e1a-05196c9bce9e", | ||
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| 157 | }, | 191 | }, | ||
| 158 | { | 192 | { | ||
| 159 | "display_name": "modelado-de-movilidad", | 193 | "display_name": "modelado-de-movilidad", | ||
| 160 | "id": "e7643261-7f5f-4349-b579-2696be48593b", | 194 | "id": "e7643261-7f5f-4349-b579-2696be48593b", | ||
| 161 | "name": "modelado-de-movilidad", | 195 | "name": "modelado-de-movilidad", | ||
| 162 | "state": "active", | 196 | "state": "active", | ||
| 163 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
| 164 | }, | 198 | }, | ||
| 165 | { | 199 | { | ||
| 166 | "display_name": "movilidad-urbana", | 200 | "display_name": "movilidad-urbana", | ||
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| 175 | "name": "observatorios-urbanos", | 209 | "name": "observatorios-urbanos", | ||
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| 220 | }, | 254 | }, | ||
| 221 | { | 255 | { | ||
| 222 | "display_name": "quertaro", | 256 | "display_name": "quertaro", | ||
| 223 | "id": "5ade400f-3e1b-4aa3-a39a-d683f82a5507", | 257 | "id": "5ade400f-3e1b-4aa3-a39a-d683f82a5507", | ||
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| 234 | }, | 268 | }, | ||
| 235 | { | 269 | { | ||
| 236 | "display_name": "simulacin-de-trfico", | 270 | "display_name": "simulacin-de-trfico", | ||
| 237 | "id": "8243feeb-8b24-4020-b97e-03b802ac78c8", | 271 | "id": "8243feeb-8b24-4020-b97e-03b802ac78c8", | ||
| 238 | "name": "simulacin-de-trfico", | 272 | "name": "simulacin-de-trfico", | ||
| 239 | "state": "active", | 273 | "state": "active", | ||
| 240 | "vocabulary_id": null | 274 | "vocabulary_id": null | ||
| 241 | }, | 275 | }, | ||
| 242 | { | 276 | { | ||
| 243 | "display_name": "simulacin-urbana", | 277 | "display_name": "simulacin-urbana", | ||
| 244 | "id": "55fddf4e-e5ac-4a43-9eea-a03aeff86c1b", | 278 | "id": "55fddf4e-e5ac-4a43-9eea-a03aeff86c1b", | ||
| 245 | "name": "simulacin-urbana", | 279 | "name": "simulacin-urbana", | ||
| 246 | "state": "active", | 280 | "state": "active", | ||
| 247 | "vocabulary_id": null | 281 | "vocabulary_id": null | ||
| 248 | }, | 282 | }, | ||
| 249 | { | 283 | { | ||
| 250 | "display_name": "sumo", | 284 | "display_name": "sumo", | ||
| 251 | "id": "266e4bda-ee60-47fb-8b86-e7d96400e827", | 285 | "id": "266e4bda-ee60-47fb-8b86-e7d96400e827", | ||
| 252 | "name": "sumo", | 286 | "name": "sumo", | ||
| 253 | "state": "active", | 287 | "state": "active", | ||
| 254 | "vocabulary_id": null | 288 | "vocabulary_id": null | ||
| 255 | }, | 289 | }, | ||
| 256 | { | 290 | { | ||
| 257 | "display_name": "trfico-vehicular", | 291 | "display_name": "trfico-vehicular", | ||
| 258 | "id": "9bdc289c-7172-4f5e-aac2-87e146b87e99", | 292 | "id": "9bdc289c-7172-4f5e-aac2-87e146b87e99", | ||
| 259 | "name": "trfico-vehicular", | 293 | "name": "trfico-vehicular", | ||
| 260 | "state": "active", | 294 | "state": "active", | ||
| 261 | "vocabulary_id": null | 295 | "vocabulary_id": null | ||
| 262 | }, | 296 | }, | ||
| 263 | { | 297 | { | ||
| 264 | "display_name": "urban-analytics", | 298 | "display_name": "urban-analytics", | ||
| 265 | "id": "e23c64c5-be6a-4cfd-b0c0-f8bd4ae0d993", | 299 | "id": "e23c64c5-be6a-4cfd-b0c0-f8bd4ae0d993", | ||
| 266 | "name": "urban-analytics", | 300 | "name": "urban-analytics", | ||
| 267 | "state": "active", | 301 | "state": "active", | ||
| 268 | "vocabulary_id": null | 302 | "vocabulary_id": null | ||
| 269 | }, | 303 | }, | ||
| 270 | { | 304 | { | ||
| 271 | "display_name": "visualizacin-de-datos", | 305 | "display_name": "visualizacin-de-datos", | ||
| 272 | "id": "42ab6d78-bd99-4c38-935a-3c2b6e87f5d3", | 306 | "id": "42ab6d78-bd99-4c38-935a-3c2b6e87f5d3", | ||
| 273 | "name": "visualizacin-de-datos", | 307 | "name": "visualizacin-de-datos", | ||
| 274 | "state": "active", | 308 | "state": "active", | ||
| 275 | "vocabulary_id": null | 309 | "vocabulary_id": null | ||
| 276 | }, | 310 | }, | ||
| 277 | { | 311 | { | ||
| 278 | "display_name": "visualizacin-urbana", | 312 | "display_name": "visualizacin-urbana", | ||
| 279 | "id": "2a307f6c-6135-491f-9aa2-2ad0a9ca9ab0", | 313 | "id": "2a307f6c-6135-491f-9aa2-2ad0a9ca9ab0", | ||
| 280 | "name": "visualizacin-urbana", | 314 | "name": "visualizacin-urbana", | ||
| 281 | "state": "active", | 315 | "state": "active", | ||
| 282 | "vocabulary_id": null | 316 | "vocabulary_id": null | ||
| 283 | }, | 317 | }, | ||
| 284 | { | 318 | { | ||
| 285 | "display_name": "webgl", | 319 | "display_name": "webgl", | ||
| 286 | "id": "667ddd0e-012d-417d-9e85-f8695fac9d29", | 320 | "id": "667ddd0e-012d-417d-9e85-f8695fac9d29", | ||
| 287 | "name": "webgl", | 321 | "name": "webgl", | ||
| 288 | "state": "active", | 322 | "state": "active", | ||
| 289 | "vocabulary_id": null | 323 | "vocabulary_id": null | ||
| 290 | }, | 324 | }, | ||
| 291 | { | 325 | { | ||
| 292 | "display_name": "zona-metropolitana-de-quertaro", | 326 | "display_name": "zona-metropolitana-de-quertaro", | ||
| 293 | "id": "bc98f831-620f-4faa-bd60-9f38edad1e0e", | 327 | "id": "bc98f831-620f-4faa-bd60-9f38edad1e0e", | ||
| 294 | "name": "zona-metropolitana-de-quertaro", | 328 | "name": "zona-metropolitana-de-quertaro", | ||
| 295 | "state": "active", | 329 | "state": "active", | ||
| 296 | "vocabulary_id": null | 330 | "vocabulary_id": null | ||
| 297 | } | 331 | } | ||
| 298 | ], | 332 | ], | ||
| 299 | "title": "Visualizando la movilidad en Quer\u00e9taro: an\u00e1lisis | 333 | "title": "Visualizando la movilidad en Quer\u00e9taro: an\u00e1lisis | ||
| 300 | de simulaciones urbanas sobre redes viales complejas", | 334 | de simulaciones urbanas sobre redes viales complejas", | ||
| 301 | "type": "dataset", | 335 | "type": "dataset", | ||
| 302 | "url": | 336 | "url": | ||
| 303 | ereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/", | 337 | ereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/", | ||
| 304 | "version": null | 338 | "version": null | ||
| 305 | } | 339 | } |