José Manuel Almendros Ulibarri

Ministerio Industria, Energía y Turismo

Paseo de la Castellana 160 9º-59

Madrid 28071

TF:913494693

Email:jmalmendros@minetur.es

Section: Applications of survey data (to promote the use of Business and Consumer Opinion Surveys)

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GEOLOCATION OF INDUSTRIAL CLIMATE IN SPAIN

The paper consist in the presentation of a demo version of an application built upon popular technologies (Google maps API) that displays series of data obtained from Industry survey in Spain along with other social and economic information obtained from other sources. The achievement is to give information resulting from surveys in a more user friendly way.

What information does it gather?

On the map there are marked 3.245 points corresponding to the same number of towns (green points) that have a population of more than 1.000. For all them we have gathered the following information which is provided in a infowindow when clicking on the point:

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014town code XName of town XProvince XRegion XLongitude XLatitude Xmarker (green/blue) XPopulation (number) X X X X X X X XUnemployment (%) X X X X X X X XMotor Vehicles X X X X X X X XBroadband lines X X X X X XManufacturing Industry Establishments X X X X X X X XEnergy and water Industry establishments X X X X X X X XBuilding sector establishments X X X X X X X XInter-industrial wholesale trade establishments X X X X X X X XEconomic Activity Index (*) X X X X X X X XIndustrial activity index (*) X X X X X X X XCommercial Index (*) X X X X X X X XTouristic Index (*) X X X X X X X X

(*) National share of taxes received for economic and professional activity in the relevant sector = taxes in town/ taxes in Spain for one year and for the relevant sector.

Blue points are towns that have firms included in the industry sample. There are 260 towns (blue points). The replies to the industry survey from firms in these 260 towns in the period 2005-2015 is 94.000 aprox.

Therefore, for these towns we have also the following information which can be compared to the previously mentioned.

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014order books last 3 months (Q2) X X X X X X X X X XProduction expectations (Q5) X X X X X X X X X XEmployment expectations (Q7) X X X X X X X X X XCapacity utilisation (Q13) X X X X X X X X X XOperational Incomes m€ (firms included in sample) X X X X X X X X X XYear Profits m€ (firms included in sample) X X X X X X X X X X

Data for BTS question are calculated using Tankan method. I.E for a given town, if there are N responses comin fron n firms in one year, the value of Q2, Q5 or Q7 is the addition of all positive answers minus the addition of negatives responses. For Q13 the value is the average of all responses of all firms located in a given town, a given year.

How does it work?

Click on the following link (it works much better with Google Chrome)

http://geolocalizacionconfianza.blogspot.com.es/p/prueba7.html

Now you can select a group of towns by building a query to the database combining the use of dropdown menus and/or drawing circles or poygons. Circles are draggable and resizable (move with blue marker and resize by drawing the perimeter). Polygons can have as many sides as desired and can be build by clicking different times on the map.

To execute the selection you have to click on the area (circle or polygon) or on blue marker if the selection is made only by means of dropdown menus.

Once made that the data associated to the towns of the selection are shown in a table. It is posible to export it to excel format for further analysis. You can also print it with the commands located over the map. You can also remove and restore polygons and markers.

What is left?

I have to fix some bugs and add charts along with the table just to visually compare variables after the selection is executed. It could be available in summer. Besides, all this info can be added as an additional layer (kml format) to google earth very easily.