Photovoltaics as an Element of Intelligent Transport System Development - Geoinformatics for Intelligent Transportation - page 189

options of the program, it is possible to e.g. make use of the resources of Polish
Geoportal, and show of the other phenomena.

5.3 Thematic Maps

The most ef cient way to present a given phenomenon in space, and determine the

variation of the spatial value, density, or intensity of geographical phenomena, as
well as relationships between them, is through thematic maps, which provide the
visualisation of speci c and socio-economic issues and phenomena. Thematic maps

are graphic material supporting decision-making processes of various institutions
and organisations implementing socio-economic strategies and programmes. An
increased interest in such maps stimulates searching for new contents which they
may present [ 20 ].
Thematic maps as created in the MapInfo constitute subsequent layers in the
database. These were edited on the basis of spatial objects contained in the newly-
created elements of road infrastructure database. Descriptive data from multiple
tables may be used through SQL queries.
For a given layer, multiple alternative presentations of the same issue may be
prepared. A signi cant feature of thematic overlays is the dynamic refreshing

thereof during the edition of attribute values. This allows maintaining the on-going
relevance along with the permanent expansion of the RES database.

6 Creating the Spatial Database in MapInfo
for Identification of Road Infrastructure Elements

Based on the information obtained from GDDKiA, the database concerning use of
photovoltaic panels in signage on national roads administered by the branch in
Olsztyn was developed.
In the data obtained from GDDKiA, location of photovoltaic panels is de ned by

the number of the distance marker. Given that the average distance between the
distance markers obtained was 1,000 m, generally available map portals were used
to increase the precision of geocoding for the purpose of identi

cation of the
location of individual photovoltaic panels. Additionally, using them allowed
determination on which side of the road section the photovoltaic panel is situated as
geocoding would position the point automatically on the road axis.
The precise location of the object was possible by using the Google Maps and
Street View service (Fig. 2 ).
For the purpose of con cation correctness, the

nearest distance marker was located and the station value was read.
Data export to the tabulation format allowed automatic presentation of points in
MapInfo Professional (Fig. 3 ).

rming the object location identi