Visualizing Tweets!

How about a quick visualization of tweets in CartoDB? Hey guys, the way we used to visualize is changing on a  daily basis so it’s time to catch up!!!. Let’s add a timestamp and play!! We will take a look at this dataset in depth shortly so be aware of our schedule! Regards, Alberto CONCEJAL […]

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Creating value through Open Data

The benefits of Open Data are diverse and range from improved efficiency of public administrations, economic growth in the private sector to wider social welfare (Source: Performance can be enhanced by Open Data and contribute to improving the efficiency of public services. Greater efficiency in processes and delivery of public services can be achieved thanks to […]

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Tipologías usuarios Madrid Río. Estadísticas y tendencias interesantes

Para la multitud de personas a las que como a mí, les ha sorprendido esta infrastructura en frente de sus casas hay posibilidad de encontrarse en el mismo metro cuadrado a alguien corriendo, alguien andando, una pareja con un carrito de niños, unos amigos en patines, alguna persona en bici… unos más rápido y unos más lento, todos hemos de convivir en un trazado de unos 7,5km de largo y no más unos metros de ancho, con lo que unas mínimas normas de circulación se imponen.

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Pearson correlation and GIS

Do these two variables have a correlation?. To answer this important question first of all we have to know that only if it’s a linear relationship and there are no outliers we can take advantage of Mr Pearson’s correlation statiscal tool. If i love chocolate, does this mean i have tendency of being chuby? or […]

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Cool data. What is this?

What is this ‘cool data‘ all about?. When i got my degree in Geography (about 15 years ago) it didn’t make sense at all being interested in something like graphic design, photography, video and all this stuff… but not only interested in my leisure time but also for taking advantage of it, getting a life […]

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Projets éoliens en Loire-Atlantique

C’est vraiment magnifique l’ouverture des données publiques… Je vais décrire mon itinéraire pour mieux comprendre: Télécharger des données (Projets éoliens en Loire-Atlantique) Telecharger DTM (SRTM v4) Faire Carte d’ombrage (ArcGIS), Orientations (ArcGIS) et Inclinations (ArcGIS) pour mieux comprendre l’emplacement des moulins Faire Carte de densité (en mesurent la puissance du parc) Et maintenant la carte de densité en Global Mapper… […]

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Using Excel to calculate the RMSE for LiDAR vertical ground control points

(source: The height accuracy of the collected LiDAR data can be verified by comparing with independently surveyed ground control points on hard, flat, open surfaces. It is essentially just calculating the height differences for all the control points and then determining the height root mean squared error (RMSE) or differences. Most LiDAR processing software have the […]

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