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Geographic Open Data, R, and their business use

The spreading of Geographical Information Systems (GIS) and the release of geographical data by governements make it simpler to work on geographical datasets, despite the fact that file formats and geographical coordinate systems are not standardized.

A few examples of Data Visualization with data coming from a cadastral survey with an Openstreetmap or Bing images. The Deducer Spatial R plug-in is used to render the images.

(Click to zoom)

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We can see here the limits of the towns, water system and buildings.

GIS and their business use

It is now easy to couple GIS technologies with your business data, for a small or no cost.

The latest years have brought a wealth of innovations for the Geographic information Systems (GIS). Maps are now easy to use, and some of them are even opensource : OpenStreetMap is the most well known project. Its data are free to use.

Coupled with geolocation technologies (transformation of an address to a system of coordinates), the GIS and the statistical softwares let the user produces graphic maps which make your data easy to visualize and understand.

Geolocate your business files (clients, sales, distribution) with the R software environment ! Geomarketing is the coupling of geographical intelligence into marketing, are you already using it ? Where are your potential clients ? Where are your sales located ? Where should you develop your advertising efforts ? Where are your competitors located ?

Geostatistics are also a beneficiary of those developments. At first limited to the mining and oil prospection, it is now used in hydrology, weather forecast, environmental control, agriculture, epidemiology and transport (logistics), to name a few.

There are countless domains geostatistics and geovisualization can be applied and give you an advantage. Contact us !

PNG - Income per person per year
Income per person per year
PNG - Income per person per year, on a cartogram proportional to inhabitants
Income per person per year, on a cartogram proportional to inhabitants
This technology better shows the weight of towns. We are often more interested in people than on geography

See also: french elections

PNG - Krankenhäuser rund um Wien
Krankenhäuser rund um Wien
Where are hospitals located ? Where are the towns far away from medial centers ? It is immediately possible to visualize the situation thanks to the geographic capabilities of R. RgoogleMaps and osmar packages have been used to produce this graph, along with OpenStreetMap API

Integration with Bing and Open Street Map:
(click to zoom)

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