31:Tae7,intro = language === "ES" ? md` ## Intro Esta visualización es una pieza muy especial, quizás el reto más grande al que me he enfrentado desde la visualización de datos. La diseñé en 2015 como introducción a mi Proyecto Fin de Carrera en arquitectura, pero recuerdo durante el proceso _"Yo quiero hacer esto [visualización de datos], me encanta, no tengo dudas"_. El trabajo fue un poco ambicioso por mi parte, pero desde el comienzo estuve super bien acompañada y apoyada por el equipo de científicos del [Observatorio del Cambio Global en Sierra Nevada](https://obsnev.es/en/) con [Francisco J. Bonet](https://twitter.com/fjbonet) como mi contacto principal. Fueron muy generosos y majos conmigo, ofreciéndome sus datasets, conocimientos y consejos desde el principio. Conservo un gran recuerdo y mucha admiración por ellos :) Mi objetivo era intentar visualizar y sintetizar en una sola imagen toda la Metodología del Programa de Seguimiento desplegado por todo el Parque Natural de Sierra Nevada. Diseñé múltiples gráficas y mapas interrelacionadas entre sí a lo largo de toda la visualización. Fue un reto apasionante de conceptualizar y diseñar. El tamaño final fue de 14900 x 7016 pixels, que se convirtió en un poster de 1'26 x 0'59 metros como pieza impresa. Más info sobre la visualización, paso a paso, aquí: [Wix sierranevadadatavis (ES)](https://carmentorremolina.wixsite.com/sierranevadadatavis). ` : md` ## Intro The following dataviz is a very special piece for me, I think is still the biggest challenge on dataviz I ever made so far. It was done in 2015 as introduction to my final thesis on Architecture, but I remember thinking during the process _"I want to do this [dataviz] in my life, I love it, I have no doubts"._ It was a bit ambitious work from my side but supported and accompanied by really enthusiastic and amazing people: the scientists of the [Sierra Nevada Global Change Observatory](https://obsnev.es/en/) with [Francisco J. Bonet](https://twitter.com/fjbonet) as my main contact within the team. They were all extremely generous and nice from the begining, opening to me all their datasets, knowledge and advice. I admire them a lot :):) My goal was to try to synthesize and visualize, in a single visual piece, the methodology of the Monitoring Program spread out on the Sierra Nevada Natural Park. I designed multiple ad-hoc charts and maps interrelated with each other. It was an extremely challenging and fun work to be conceptualised and designed. The size of the dataviz was 14900 x 7016 pixels, which became a poster of 1'26 x 0'59 meters in printed size. More info about the visualization, step by step, here: [Wix sierranevadadatavis (in Spanish)](https://carmentorremolina.wixsite.com/sierranevadadatavis). `32:T1128,toolkit = language === "ES" ? md` ## Caja de herramientas No hay **no d3.js** de por medio (en realidad no tengo el nivel en d3.js todavía para hacer algo así). En ese momento yo era super entusiasta del **diseño paramétrico** en arquitectura y de los **mapas** en general (Todavía lo soy, pero aún no he sabido/podido conectar mis intereses pasados con mis actuales conocimientos en d3.js y desarrollo web en general... Creo que es un proceso que lleva su tiempo, paso a paso). Junto a mis compañeras Elena Rivas y Begoña Gassó montamos un estudio de diseño llamado Ooopart, centrado en herramientas digitales. Llegamos a dar varios cursos de Técnicas de Diseño Paramétrico en la universidad de Granada, con [Grasshopper3d](https://es.wikipedia.org/wiki/Grasshopper_3D) en el centro de nuestra caja de herramientas, una [interfaz de programación visual](https://es.wikipedia.org/wiki/Programaci%C3%B3n_visual) plugin de [Rhinoceros3d](https://es.wikipedia.org/wiki/Rhinoceros_3D), una herramienta de diseño asistido por ordenador (CAD) utilizada en ingeniería y arquitectura. Como **lenguaje de programación visual**, posibilita la creación de algoritmos de "forma visual", es decir, mediante la manipulación de elementos (cajas y cables que los conectan) de forma _gráfica_ en vez mediante código _textual_. Empecé a disfrutar mucho con esta forma de pensar y a diseñar literalmente cualquier cosa de esta manera, desde geometrías en 3d hasta formas en 2d. Como siempre me había encantado la visualización de datos, comencé a bindear datos como inputs y crear cada vez más visualizaciones de datos de esta forma, aprovechándome de todas las herramientas geométricas que cualquier programa CAD tiene, llevándolas al límite mediante la programación visual. Por otro lado, pronto empecé también a ser capaz de introducir mapas y exploraciones geográficas hechas con **Sistemas de Información Geográfica (SIG)**, concreatmente con [ArcGIS](https://es.wikipedia.org/wiki/ArcGIS), en la ecuación como otro input más con el que jugar. Los retoques finales de diseño (logos, títulos y anotaciones) los llevé a cabo con Adobe Indesign. El resultado es una visualización de dtos singular hecha de una forma poco convencional, exprimiendo al máximo todas las herramientas de arquitectura que tenía en aquella época. ___ ` : md`## Toolkit There's **no d3.js** involved (actually my current knowledge on d3.js is still quite far from that level). At that time, I was super enthusiastic about both **parametric design** on architecture and **maps** (I still am, but I haven't truly connected all my past interests with my current knowledge on d3.js and frontend development... I guess is a step by step process). Me and my two colleages Elena Rivas and Begoña Gassó, architects as well, setted up a design studio called Ooopart, focused on those digital technologies. We ending up teaching Parametric Design Techniques at University, with [Grasshopper3d](https://en.wikipedia.org/wiki/Grasshopper_3D) on the centre of our toolkit, a [visual programming interface](https://en.wikipedia.org/wiki/Visual_programming_language) plugging of [Rhinoceros3d](https://en.wikipedia.org/wiki/Rhinoceros_3D)which is a common computer-aided design (CAD) software used in engineering architecture. As a **visual programming language**, it allows building algorithms in a "visual way", meaning by manipulating program elements (boxes and links between them) _graphically_ rather than by specifying them _textually_. I enjoyed a lot that way of thinking and started to design literally everything on that way, from 3d geometries to 2d shapes. As I always loved dataviz design as well, I started binding data inputs more and more to create our completely custom dataviz solutions, taking advantage of all the geometric features any CAD software has, pushed to the limit with visual programming. On the other hand, soon I started to plug all my **Geographic Information System (GIS)** map explorations and manipulations with [ArcGIS](https://en.wikipedia.org/wiki/ArcGIS) into the equation as another input to play with. Final design retouches (logos, titles and annotations) were done with Photoshop Indesign software. The result is a peculiar dataviz done in a non-conventional way, making the most of my tools from the architecture field at that time. ___ `33:Te9e,personalChallenge = language === "ES" ? md` ## Reto personal Muchas cosas me han pasado en estos años desde aquel trabajo en 2015. Terminé mi Proyecto Fin de Carrera con un trabajo paisajístico sobre Sierra Nevada y me gradué como arquitecta, con pocas intenciones de seguir ese camino. Decidí replantearme mi carrera profesinal y reconducirla hacia una de mis mayores pasiones: la **visualización de datos**. Por esa razón me mudé a Madrid hace 2 años, para realizar un bootcamp de **front-end y desarrollo web** llamado [Adalab](https://adalab.es/), que resultó siendo una experiencia genial en muchos sentidos. Finalmente un poco de HTML, CSS y Javascript en mi caja de herramientas, que me daban un poco más de seguridad para emprender my nueva aventura como visualizadora de datos profesionalmente. Tras terminar esa experencia, tuve la suerte de poder incorporarme a [Civio](https://civio.es/), una organización **de periodismo independiente** especializada en datos y acceso a la información, donde tengo la suerte de trabajar como desarrolladora frontend y visualizadora de datos, permitiéndome seguir aprendiendo más y más sobre d3.js de forma creativa. Me gustaría coger esta pieza (y otras que tengo por ahí) como excusa para seguir aprendiendo d3.js, y reconectar con algunas de mis pasiones pasadas (paisajismo, mapas SIG, modelado 3d, fotogrametría...). En este caso, no aspiro a replicarla tal cual en d3.js (sería precioso pero se me queda muy grande en este momento), sino empezar cogiendo pequeños fragmentos e intentar conseguir soluciones similares en mi tiempo libre con **d3.js** y **Observable**, paso a paso. Mi primer intento va a ser el primer bloque de esta visualización -> _ A. Programa de Seguimiento: MARCO CONCEPTUAL (Introducción)_ (WIP).

___ ` : md`## Personal challenge A lot has happened to me in the years since that work from 2015. I finished that final thesis and graduate as Architect, but with no intentions of following that road. I decided to rethink my professional career and shift it into one of my main passions: **dataviz design**. Because of that, I moved to Madrid 2 years ago to study a **front-end and web development** Bootcamp called [Adalab](https://adalab.es/), being and amazing experience in many senses. Finally a bit of HTML, CSS and Javascript on my toolkit to make me feel a bit more confident in my new adventure in the dataviz professional field. After finishing that, I had the chance of joining [Civio](https://civio.es/), a non-profit **journalism organization** that specialized in data and access to information, where I am lucky to work as a frontend and data visualizer, allowing me to keep on learning more and more about d3.js in a creative way. I would like to take this piece (and others I have somewhere) as an excuse to keep on learning d3.js, and reconnect with my past passions (landscape, GIS maps, 3d modelling, photogrammetry...). On this case, I do not aspire to replicate it as it on d3.js (it would be beautiful, but way too big for me now), but instead of that, my plan is just to start taking small fragments of it on my free time and implement them with **d3.js** and **Observable**, step by step. My first trial is going to be around the first block of this dataviz -> _ A. Monitoring Programme: CONCEPTUAL FRAMEWORK (Introduction)_ (WIP).

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2f:{"title":"Sierra Nevada - Global Change dataviz","cells":[{"id":127,"value":"md`# Sierra Nevada - Global Change dataviz`","pinned":false,"hidden":false,"mode":"ojs"},{"id":150,"value":"viewof language = Radio([\"ES\", \"EN\"], {\n label: \"Pick a language\",\n value: 'EN'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":29,"value":"allTogetherFig = language === \"ES\"\n ? FileAttachment(\"20151205_PanelA1wider_ES_low CC.jpg\").image()\n : FileAttachment(\"20151205_PanelA1extend_EN_low CC.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":183,"value":"allTogetherFigCaption = language === \"ES\"\n ? md`^{* **Observatorio del cambio global en Sierra Nevada. Programa de seguimiento.**
\nLa visualización se compone de **7 bloque temáticos** interconectados: Marco conceptual (A), Sierra Nevada (B1 y B2), Estaciones de Monitoreo Intensivo (C1 y C2) y Programa de Seguimiento (D1 y D2).*}`\n : md`^{* **Sierra Nevada Global-Change Observatory. Monitoring programme.**
\nThe visualisation consists of **7 interconnected** thematic blocks: Conceptual Framework (A), Sierra Nevada (B1 and B2), Intensive Monitoring Stations (C1 and C2) and Monitoring Programme (D1 and D2).*}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":259,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":190,"value":"datavizBlocks = language === \"ES\"\n ? md`## Bloques de la visualización`\n : md`## Dataviz Blocks`","pinned":false,"hidden":false,"mode":"ojs"},{"id":326,"value":"AFigLow = language === \"ES\"\n ? FileAttachment(\"BloqueA_PlegadoHorizontal_low.jpg\").image()\n : FileAttachment(\"BloqueA_PlegadoHorizontal_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":164,"value":"AFigCation = language === \"ES\"\n ? md`^{* **A.** Programa de Seguimiento: MARCO CONCEPTUAL (Introducción)*}`\n : md`^{* **A.** Monitoring Programme: CONCEPTUAL FRAMEWORK (Introduction)*}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":6,"value":"B1FigLow = language === \"ES\"\n ? FileAttachment(\"BloqueB1_PlegadoHorizontal_low.jpg\").image()\n : FileAttachment(\"BloqueB1_PlegadoHorizontal_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":196,"value":"B1FigCation = language === \"ES\"\n ? md`^{* **B1.** Sierra Nevada: CONTEXTO ECOLÓGICO*}`\n : md`^{* **B1.** Sierra Nevada: ECOLOGICAL CONTEXT*}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":9,"value":"B2FigLow = language === \"ES\"\n ? FileAttachment(\"BloqueB2_PlegadoHorizontal_low.jpg\").image()\n : FileAttachment(\"BloqueB2_PlegadoHorizontal_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":205,"value":"B2FigCation = language === \"ES\"\n ? md`^{* **B2.** Sierra Nevada: METODOLOGÍAS DE SEGUIMIENTO *}`\n : md`^{* **B2.** Sierra Nevada: MONITORING METHODOLOGIES *}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":11,"value":"C1FigLow = language === \"ES\"\n ? FileAttachment(\"BloqueC1_low.jpg\").image()\n : FileAttachment(\"BloqueC1_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":207,"value":"C1FigCation = language === \"ES\"\n ? md`^{* **C1.** Estaciones de Monitoreo Intensivo (EMIs): CONTEXTO ECOLÓGICO *}`\n : md`^{* **C1.** Highly Instrumented Areas (EMIs): ECOLOGICAL CONTEXT *}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":13,"value":"C2FigLow = language === \"ES\"\n ? FileAttachment(\"BloqueC2_PlegadoVertical_low.jpg\").image()\n : FileAttachment(\"BloqueC2_PlegadoVertical_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":209,"value":"C2FigCation = language === \"ES\"\n ? md`^{* **C2.** Estaciones de Monitoreo Intensivo (EMIs): METODOLOGÍAS DE SEGUIMIENTO *}`\n : md`^{* **C2.** Highly Instrumented Areas (EMIs): MONITORING METHODOLOGIES *}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":15,"value":"D1FigLow = language === \"ES\"\n ? FileAttachment(\"BloqueD1_PlegadoHorizontal_low.jpg\").image()\n : FileAttachment(\"BloqueD1_PlegadoHorizontal_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":211,"value":"D1FigCation = language === \"ES\"\n ? md`^{* **D1.** Programa de Seguimiento: DIMENSIÓN ESPACIAL *}`\n : md`^{* **D1.** Monitoring Programme: SPATIAL DIMENSION *}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":17,"value":"D2FigLow = language === \"ES\"\n ? FileAttachment(\"BloqueD2_PlegadoVerticalHorizontal_low.jpg\").image()\n : FileAttachment(\"BloqueD2_PlegadoVerticalHorizontal_EN_low.jpg\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":213,"value":"D2FigCation = language === \"ES\"\n ? md`^{* **D2.** Programa de Seguimiento: DIMENSIÓN TEMPORAL Y VARIABLES *}`\n : md`^{* **D2.** Monitoring Programme: TEMPORAL DIMENSION & VARIABLES *}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":266,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":173,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":177,"value":"md`\n## Appendix\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":148,"value":"import { Radio } from \"@observablehq/inputs\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W34","stdlib":"1","titling":"auto"}