22
jan
Number of POIX elements in Hungary by counties - 2018

POIX database for decision-making

Szerző: ArcHungary map, News, POIX Database, Solutions, UpdatesMég nem érkeztek hozzászólások

A POI (Point of Interest) database is useful in decision making process when we have to know where are the clients, customers or competitors.

POIX database for Hungary

The POIX database is a well structured POI collections for Hungary with GPS coordinates and address data for each POI elements.
Catchment area analysis, neighbourhood profile research are some of those subject where POIX database helps to understand the spatial differences.

Number of POIX elements in Hungary by counties - 2018

Number of POIX elements in Hungary by counties – 2018

POI categories and number of POI elements

The POIX database is available by categories or by cities. We provide special analysis using this database. Contact us »

GROUP pcs
Accommodation, food and beverage (Accommodation) 7 561
Accommodation, food and beverage (Food and beverage) 10 825
Infrastructure (Government) 8 602
Infrastructure (Infrastructure support) 1 435
Infrastructure (Organisation) 2 760
Infrastructure (Public accessible facilities) 16 741
Education and Health (General education) 13 138
Education and Health (Recreational and vocational education) 4 946
Education and Health (Medical establishment) 19 228
Education and Health (Health practitioners) 14 678
Education and Health (Animal welfare) 255
Education and Health (Higher education) 258
Sport and Entertainment (Sport) 4 144
Sport and Entertainment (Place of amusement) 772
Sport and Entertainment (Gambling) 541
Sport and Entertainment (Tourist attraction) 1 281
Transport (Road) 1 089
Transport (Rail) 1 604
Transport (Air) 56
Transport (Water) 233
Commerce (Wholesale trade) 22
Commerce (Service) 32 899
Commerce (Retail trade) 32 186
Industry and agriculture (Industry) 239
Industry and agriculture (Agriculture) 7
SUM 175 500

11
szept

Hungary maps – database updates is 2017

Szerző: ArcHungary map, DSM-10 map, News, Updates, WMS-TMSMég nem érkeztek hozzászólások

New map database updates are available in september 2017 (Q3). Address level vector street maps of hungarian settlemens, administrative vector map of Hungary. EOV or WGS84 coordinates, MapInfo.tab or ESRI shape format for Business GIS analysis and data visualization.

Map layers and datasources

Vector maps of Hungary are generated in two map scale. Map scale of DSM-10 vector street maps of Hungarian settlemens are M=1:10 000. Map Scale of ArcHungary administrative levels and road network map of Hungary is M=1:250 000. Both maps can be used for location based analysis and map based data visualization. Both maps are available in WMS or TMS service.

Map layers by topics:

  • Administrative boundaries (Nuts0-NUTS5): region, county, small region, settlement, districts of Budapest,
  • Special spatial units: inner areas, part of settlements, ZIP codes, elektoral districts,
  • Transport network elements: road network, railway network, railway stations, ferries and border corssing,
  • Natural and hydrography elements: river, lake, canal, forest, nature reserve areas and more
  • special raster format layers.

GIS databases and services

These vector maps can be used for Business GIS analysis and map based data visualization too. They are available by TMS /WMS services. Database format is MapInfo.tab or ESRI.shape. Projection is EOV or WGS84. Contact us »

 

27
feb
Main road network of Hungary - 2017

Changes of road network of Hungary 2007-2017

Szerző: ArcHungary map, DSMMatrix database, News, Updates, WMS-TMSMég nem érkeztek hozzászólások

In ArcHungary – vector map of Hungary all hungarian road network changes are updated. Let’s see the map to follow the changes of last 10 years – especially the evolvement of the Highways-Motorways network of Hungary.

Changes of road network of Hungary 2007-2017

Changes of road network of Hungary 2007-2017

 

The new sections of road network

  • On road M0  – new and broaded sections
  • On road M3 – new section between Görbeháza – Nyíregyháza and between Nagykálló – Őr – Vásárosnamény.
  • On road M31 – new section between Nagytarcsa – Gödöllő.
  • On road M4 – new bypass road at Kisújszállás.
  • On road M43 – new sections between Szeged-north – Hódmezővásárhely, Sándorfalva –  Makó and Makó – Csanádpalota, the highway reach the border crossing in south.
  • On road M5 – new sections between Kiskunfélegyháza – Szeged, than Szeged – Röszke,
  • On road M6 – new section between Dunaújváros – Bóly, with more than 100 km-s,
  • On road M7 – new sections between Zamárdi – Balatonszárszó, than Balatonkeresztúr – Nagykanizsa, the highway starts from Budapest and reach Nagykanizsa and border crossing in west.
  • On road M85 – new bypass road at Enese, new sections between Enese – Csorna and Győr-Rábapatona.
  • On road M86 – new bypass roads at Vát and Szeleste, than new sections between Szombathely – Vát,  Szeleste – Hegyfalu, and Hegyfalu – Csorna.

All changes are updated in GeoX vector and raster maps, and map based navigation and web services.

If you have any questions, or you are interested in our maps, please contact us »

14
szept

Curves analysis of routing data – Dangerous curves ahead

Szerző: DSM-10 map, GeoXIoT, Navigation, News, Spatial AnalysisMég nem érkeztek hozzászólások

One subject, that is always on our mind is what we can do with the massive number of our location measurements, how we can get value from billions of GPS-locations recorded in the Egérút-system. This drive made us to analyze how people are driving along the curves on the roads, and if dangerous, curves could be determined on-the-fly. Our idea was to develop and integrate an alerting system to a navigation application that informs and warns the drivers about their (over)speed in the curve ahead.

First, we have built an inventory of curves by defining curve categories created from the basic geometry attributes of the curves: the radius and the length. Second, using the data recorded in the Egérút-system, we have analyzed and set up the relation between the basic road characteristics, the restrictions and the distribution of the traveling speeds. This analysis resulted in a look-up table (matrix) with recommended (or safe) speeds for each curve-type. Third, we have developed an on-the-fly curve recognition algorithm, which calculates the basic characteristics of the curves from navigation data. We have included this module in the Egérút navigation system. The real-life working demonstration, our first experience with the “Dangerous curve alerting” feature can be found in the following clip:

 

 

In the future, we will include more curve characteristics (e.g. banking) and other factors like the current weather or the visibility.

The brief description of the analysis and the development of the curve recognition module can be found in the following slideshow:

This alerting on dangerous curves feature will be included in the extended version of the Antares Maps&Navigation SDK.

29
júl
Kaposvár - Pécs - Szekszárd közös elérési zóna térképe

Drive time zones of county seats in Hungary

Szerző: ArcHungary map, DSMMatrix database, Spatial AnalysisMég nem érkeztek hozzászólások

The subject of a lot of analysis tasks we’re working on is the catchment area analysis of a dedicated settlement, based on ZIP codes.

Here is a sample analysis using ArcHungary vector map of Hungary, and DSMMatrix best route and time database of Hungarian settlements.

Drive time zones analysis

The main goal of the analysis is to define catchment area of a city or a supply area of a service location or sales territory.

The basic analysis result shows a list and a map of settlements or ZIP codes belonging to 15-30-60-minute drive time zones of the enrolled settlements. This result can be completed with the number of coverage population (maybe population by age groups), or purchasing power of population.

Common drive time zones of county seats in Hungary

Common drive time zones of county seats in Hungary

Overlaps and peripheral settlements

The advantage of data visualization on a map is that we can see territorial connections that graphs are unable to show.

The map below shows the common 60 minutes drive time area of three county seats. The different colors show if we can reach one, two or both three county seats from a settlement within an our by car using the main road network.

Pecs-Szekszard_kaposvar-eleres-egyutt-20160727

There are only 3 settlements (pink area) in the region where both three county seats are reachable from within an hour and there are 112 settlements (grey areas) where none of the county seats of the region are reachable from within an hour by car. Important to note: between Kaposvár and Szekszárd there are only six more settlements (green area) within an hour drive time, while between Pécs and Szekszárd (orange area), or Pécs and Kaposvár (purple area) the number of settlements are more than a hundred.

Characteristic of zones in these counties

On this map we can see the drive time zones of the county seats from the settlements of their own counties. The main goal is to show the percentage of  settlements belongs to the different drive time zones in the county.

Eleresi-zonak-megyen-belul-2016

The graph shows that from the settlements of Somogy county takes more time to reach the county seat than from the others.

Eleresi-zonak-megyen-belul-graf-2016

In Somogy county from more than 40 % of settlements take more than an hour to reach the county seats (Baranya – Pécs – 2 %, Tolna – Szekszárd – 20%)!

These maps are sample how to analyse a catchment area. Using our Business GIS services and databases you can order specific analysis by connecting map based data to market research and statistical data to.

If you have any questions, contact us »

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