DataUrbana
@Data_Urbana
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Promoviendo las Ciudades y Sociedades Data-Driven a partir de la Educación, la Ciencia de Datos y la Digitalización
Barcelona
Joined June 2020
#30DayMapChallenge Day 2: Lines Reducing the number of lines needed to draw France (about 20 times)
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#30DayMapChallenge Day 3: Polygons. Let's use basin boundaries instead of country boundaries. Made with #qgis. #opendata from #HydroSHEDS.
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The scale of the fires currently burning across northern Australia is pretty unfathomable. This animation visualises just the last two months of fire captured by #DEAHotspots - for context, the map covers an area larger than France, Spain and Germany combined...
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Kindergarten proximity in and around Vienna 🇦🇹 through Voronoi tessellation. Day 1: Points #30DayMapChallenge
#OpenStreetMap #rstats #Vienna
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🌃 How bright is your night sky? I used satellite data to create this map of average nightlight pollution in Europe for 2022. The darker the color, the less light pollution there is. 🌑 Can you spot the darkest area on the map? Spoiler alert: It’s in Ukraine! 🇺🇦🥹
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📢 Delighted to share the cover of my book Spatial Statistics for Data Science: Theory and Practice with R 😍😍😍 🔗 https://t.co/vrvMufKrEM Thanks so much to my editor @lara_crc & all the team at @CRC_MathStats! The book will be available soon! #rstats #stats #datascience
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Day 2 of the #30daymapchallenge - Lines! This map shows journeys to work in England & Wales where more than 10 people make that trip. Thanks to @ONSgeography for releasing the data just in time! Designed in #QGIS with #CARTO & #bigquery doing the heavy lifting 💪
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Accurately predict travel time ETAs for a given day of the week or time of day, with the 'depart_at' functionality in the Mapbox Isochrones API. 💡 See how: https://t.co/ET4LaFdrBV
#geospatial #mapping #gischat
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On a daily basis, our #Copernicus Sentinel5-P monitors a wide range of atmospheric gases, such as Nitrogen Dioxide #NO2, Sulphur Dioxide #SO2 or Methane #CH4 More at https://t.co/4QWUwk2nbV
#Sentinel5P average values for the tropospheric concentration of NO₂ for Aug.-Sept. 2023
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My new map compares the levels of nightlight pollution in India in 2013 vs. 2022 to reveal the astonishing growth that took place in just 10 years 😮😮😮 #nightlight #satelliteimagery #india #science #education #RStats #DataScience #datavisualization #dataviz #visualization
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Tradicionalmente hemos asociado el alto nivel de movilidad de una sociedad a su prosperidad y riqueza. Pero, probablemente, a partir de ahora, las sociedades prósperas serán aquellas que sepan contener la movilidad.
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Podemos afirmar que la movilidad en el territorio también apoya la movilidad social y que si reducimos esta movilidad en el territorio entonces puede crecer la estratificación social, la desigualdad y por último lastrar también el progreso social de todo el país.
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Hoy compartimos un nuevo mapa realizado a partir de datos abiertos. #MartesDeMapping Mapa de #buffers de 100m, 400m y 800m en torno a edificios que generan urbanidad en el centro de #braga #Portugal Fuente: OSM Instagram: dataurbana #DataUrbana #python #dataviz #italy #retail
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Hoy compartimos un nuevo mapa realizado a partir de datos abiertos #MartesDeMappingMapa de usos y actividades en el centro de #kualalumpurl #Malasia Fuente: OSM Instagram: dataurbana #DataUrbana #python #dataviz #map #maps #landuse #leisure #transport #commercial #touristic
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The railroads of the world! This map was made with #Python using #matplotlib and #pandas. #DataScience #Data #DataVisualization #infrastructure
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I love how on maps like this one the shipping routes show up clearly. This carbon monoxide emissions was created by the marvelous @pythonmaps.
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