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Posts Tagged ‘geovisualization’

Visualizar mapas animados en el tiempo: Seguimiento de aves en CARTO [ENG]

2017/01/23

SuperinteresantE demo para ‘jugar’con datos reales georeferenciados desde la aplicación CARTO. Tres aves migrando desde El Norte de Europa hasta el África subsahariana.

Source: https://carto.com/learn/guides/styling/animating-maps-with-point-data

bird-tracking-20170123.pngThis guide describes how to visualize point data over time, by applying the ANIMATED aggregation style to animate your map. This feature requires a map layer containing point geometries with a timestamp, or numeric field.

  1. Select the bird_trackinglayer
  2. Click STYLE to apply styling options for the map layer
  3. Choose ANIMATED as the aggregation option
  4. Ensure the column time_date is selected

To gain better understanding from our bird tracking data, color the paths of each of the three birds separately, by using the bird_name column to style the points by value.

After animating your data, click the FILL color and select BY VALUE. Choose the column bird_name to style your markers by the birds’ names. Edit the stroke to 0, change the blending to source-over, and set the resolution to 1.

bird-tracking-20170123-02.png

You  can download the datasource here: bird_tracking

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Entrevista en ‘Soy Data’

2016/08/30

Me vinieron a entrevistar de SOYDATA.net  para hablar de temas relacionados con la Geovisualización como el Big Data o el Open Data y su implicación con el Control de Calidad o el Software libre. Gracias a Jorge Ubero de SoyData por la misma.

Espero que os guste, ya sabéis que si tenéis algún comentario o algo que decir, estoy encantado de contestaros.

Alberto

Alberto Concejal: Nuevos retos en geovisualización

Para hacer un repaso de algunos de los retos y nuevas aplicaciones que nos estamos encontrando en este sector, hemos entrevistado a un veterano experto en geomática, Alberto Concejal.

Alberto Concejal:

Geógrafo, master en teledetección y GIS (sistemas de información geográfica). Ha trabajado más de 15 años en el sector geoespacial. Comenzó su carrera como fotógrafo aéreo y a lo largo de estos años se ha venido especializando en compaginar diseño y geovisualización. Al mismo tiempo ha desarrollado una carrera paralela como fotógrafo y viajero, sus grandes pasiones (ver ‘Un viajero de colores‘ en el portal viajeros.com)

alberto-fotografo-aereo

En la actualidad trabaja como responsable de control de calidad en una multinacional cartográfica. Alberto hace cada día que los procesos complejos sean más fáciles de comprender.

Podcast geotecnologías y nuevos retos

“Las adaptaciones necesarias para que una fusión de dos empresas se lleve a cabo, es todo un reto desde el punto de vista del ‘Quality assessment’”

“No podemos contemplar el escenario actual con los sistemas anteriores, por la capacidad y la realidad dinámica que hay ahora en la generación de datos geolocalizados”

“El open data es el marco idóneo para poder hacer avanzar la tecnología en el entorno big data actual”

“La nube es algo reciente, aún nos estamos adaptando. Es una parte del todo”

“Hay un escenario nuevo cada cinco años, que debe ser aceptado dinámicamente”

“El cliente se ha trasladado de empresas u organismos a las personas de a pie. Siendo éstos a su vez generadores de datos, que deben ser validados y tenidos en cuenta”

Nuevas aplicaciones en geotecnologías: Carto y Tableau

Con Carto (anteriormente conocida como CartoDB) y Tableau se ha facilitado enormemente el acceso a las geotecnologías. En la sencillez reside una de las principales claves de su éxito

–> En la Academia SoyData tenéis a vuestra disposición cursos para poder poneros al día en estas herramientas de geovisualización de una manera ágil, sencilla y asequible.

–> En el blog geovisualization.net Alberto detalla algunas claves y casos de estudio que serán sin duda de vuestro interés. Os invitamos a todos a que lo visitéis.

Visualizing Tweets!

2016/03/04

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!!

tweets-visualization-cartoDB-20160304

We will take a look at this dataset in depth shortly so be aware of our schedule!

Regards,

Alberto CONCEJAL
MSc GIS and remote sensing

Creating value through Open Data

2016/02/19

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: http://www.europeandataportal.eu/)

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 cross-sector sharing of data, which can for example provide an overview of unnecessary spending.

The economy can benefit from an easier access to information, content and knowledge in turn contributing to the development of innovative services and the creation of new business models.

Social welfare can be improved as society benefits from information that is more transparent and accessible. Open Data enhances collaboration, participation and social innovation.

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The economy can benefit from easier access to information, content and knowledge in turn contributing to the development of innovative services and the creation of new business models.

For 2016, the direct market size of Open Data is expected to be 55.3 bn EUR for the EU 28+. Between 2016 and 2020, the market size increases by 36.9%, to a value of 75.7 bn EUR in 2020, including inflation corrections. For the period 2016-2020, the cumulative direct market size is estimated at 325 bn EUR.

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New jobs are created through the stimulation of the economy and a higher demand for personnel with the skills to work with data. In 2016, there will be 75,000 Open Data jobs within the EU 28+ private sector. By 2020, this number will increase to just under100,000 Open Data jobs. Creating almost 25,000 new direct Open Data jobs by 2020.

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Public sector performance can be enhanced by Open Data. Greater efficiency in processes and delivery of public services can be achieved thanks to cross-sector sharing of data, providing faster access to information. The accumulated cost savings for the EU28+ in 2020 are forecasted to equal 1.7 bn EUR.

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Open Data results in efficiency gains as real-time data is used that enables easy access to information that improves individual decision-making. Three case studies are assess in more detail: how Open Data can save lives, how it can be used to save time and how Open Data helps achieve environmental benefits. For example, Open Data has the potential of saving 7000 lives a year by providing resuscitation earlier. Furthermore, applying Open Data in traffic can save 629 million hours of unnecessary waiting time on the roads in the EU.

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Economic benefits are primarily derived from the re-use of Open Data. Value is there. The question is how big?

The European Union has adopted legislation to foster the re-use of Open (Government) Data. The expected impact of this legislation combined with the development of data portals, is to drive economic benefits and further transparency. Economic benefits are primarily derived from the re-use of Open Data. Value is there. The question is how big?

Thus, the European Commission, within the context of the launch of the European Data Portal, wished to obtain further evidence of the quantitative impact of re-use of Public Data Resources. A study was carried out with the aim to collect, assess and aggregate all economic evidence to forecast the benefits of the re-use of Open Data for all 28 European Member States and the ETFA countries, further referred to as EU 28+, for the period 2016-2020.

Direct benefits are monetised benefits that are realised in market transactions in the form of revenues and Gross Value Added (GVA), the number of jobs involved in producing a service or product, and cost savings. Indirect economic benefits are i.e. new goods and services, time savings for users of applications using Open Data, knowledge economy growth, increased efficiency in public services and growth of related markets.

The market volume exhibits the totality of the realised sales volume of a specific market; the value added. A distinction can be made between the direct market size and the indirect market size. Together they form the total market size for Open Data. For 2016, the direct market size of Open Data is expected to be 55.3 bn EUR for the EU 28+. Between 2016 and 2020, the market size is expected to increase by 36.9%, to a value of 75.7 bn EUR in 2020, including inflation corrections. For the period 2016-2020, the cumulative direct market size is estimated at 325 bn EUR.

In 2016, there will be 75,000 Open Data jobs within the EU 28+ private sector. By 2020, this number is forecasted to increase to just under 100,000 Open Data jobs. This represents a 32% growth over a 5-year period. Thus, in the period 2016-2020, almost 25,000 new direct Open Data jobs will be created.

Based on the forecasted EU28+ GDP for 2020, whilst taking into account the countries’ respective government expenditure averages, the cost savings per country can be calculated. The accumulated cost savings for the EU28+ in 2020 are forecasted to equal 1.7 bn EUR.

The aim of efficiency is to improve resource allocation so that waste is minimized and the outcome value is maximised, given the same amount of resources. Open Data can help in achieving such efficiency, The study offers a combination of the insights around the efficiency gains of Open Data and real-life examples. Three exemplar indicators are assessed in more detail: how Open Data can save lives, how it can be used to save time and how Open Data helps achieve environmental benefits. For example, Open Data has the potential of saving 1,425 lives a year (i.e. 5,5% of the European road fatalities). Furthermore, applying Open Data in traffic can save 629 million hours of unnecessary waiting time on the road in the EU.

The majority of studies performed previously are ex-ante estimations. These are mostly established on the basis of surveys or indirect research and provide for a wide range of different calculations. No comprehensive and detailed ex-post evaluations of the materialised costs and benefits of Open Data are available. Now that governments have defined Open Data policies, the success of these initiatives should be measured. The study offers several recommendations for doing so.

The report goes into further detail on how Open Data has gained importance in the last several years. Furthermore, the report provides insight into how Open Data can be used, and how this re-use differs around Europe. These insights are used to develop a methodology for measuring the value created by Open Data. The resulting values are presented in a graphical way, providing insight in the potential of Open Data for the EU28+ up to 2020.

 

(Source: http://www.europeandataportal.eu/)

 

Cheers! Geovisualization.net has just been released!

2016/02/03

Advanced Thematic Cartography IGN Spain

2014/11/14

cartografia-tematica-avanzada-20141118b

A few lines for leting you know i passed this course last year 2013 in Instituto Geográfico of Spain (IGN). Spatial analysis, Spatial stats, proper simbolization, data mining and geovisualization. A very interesting 40h online course that helps me on a daily basis to be able to show geodata in a more professional way.

Because we normally need to deepen our geodata without making too complex to understand the result of our analysis.

HTML High resolution DTM visualization using Quantum GIS (Qgis)

2014/11/03

This QGIS Plugin, Qgis2threejs, exports terrain data, map canvas image and vector data to your web browser!!

3dvisualizatio-DTM-QGIS-20141103

All you have to do is opening the DTM in Qgis (2.4.0 Chugiak), go to plugins library and install Qgis2threejs.

3dvisualizatio-DTM-QGIS-20141103-03

Once its installed you will see this icon on screen iconand you will need to clic on it.

3dvisualizatio-DTM-QGIS-20141103-04

Then choosing the parameters of the visualization and voilá!!

I have used a 5m DTM which source was LIDAR so the quality is very good

3dvisualizatio-DTM-QGIS-20141103-05

Hope you guys like it. Feedback would be greatly appreciated.

Alberto Concejal
MSc GIS and Quality Control
albertoconcejal [at] gmail.com

Visualization will endure these difficult years of CRISIS!!

2013/10/10

I have already worked as a building cleaner, data capture operator, copywriter, photographer, graphic designer, video editor, technical salesman… and seriously, I think i’m too old to make a living in something else now…

GIS has been working for me the last 8 years and i want to stay like this!!!:-) I have just read in GISLOUNGE that Visualization is among a list of a few things which will endure these difficult years of CRISIS.

http://www.gislounge.com/opinion-future-gis/

(…) Visualization
Look at the Foursquare time machine for example. The classic cartography is being challenged to new methods.
The market wants more beautifully visualized maps. (…)

And if the market needs more beautifully visualized maps, Alberto will be there!!!!.

london_cooldata

Cheers!!!!

Alberto
MSc GIS
albertoconcejal (at) gmail.com

Coverage map video over Bogotá, Colombia

2013/06/14

A few months ago i prepared some scenarios over the city of Bogotá. Hope you guys like it.

Solar + Shadows analysis on Rue Massillon, Nantes (France)

2013/04/04

This is the beautiful building in from of my house in Nantes… Let’s model it first using Sketchup. Also i have used a non standard style only for visualization purposes…

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If we have the North behind us this means we are going to have a lot of light… but so far we are just guessing…

rue_massillon_01

Now we know if for sure. Take a look at the results by M. Capeluto’s Solar Analysis.

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If we face South we notice there’s a lot of sun in the other side of the building (every line is a summarized path during a month, being the higher the closer to the summer solstice)

Please take a look at the video prepared by Tomasz Janiak, the developer of the tool.

Hope you guys find it interesting. Please let me know your thoughts.

Alberto