Poland on maps
Geographia Polonica (2017) vol. 90, iss. 2, pp. 131-138 | Full text
The study presents the delimitation of problem areas carried out at the Institute of Geography and Spatial Organization of PAS on behalf of the Ministry of Development of Poland (2015-2016), first and foremost to meet the practical needs of the development policy being pursued at state, regional and local government levels. The study was elaborated for the 2479 Polish communes (gminas) by reference to 21 indicators mainly concerned with the state of the natural environment and socio-economic conditions, as well as features of spatial and local development. The three categories of area ultimately identified were the natural, the social and the economic aspects, the combination of which yielded several main types of problem area. A last stage then entailed a division into regions, i.e. the designation and naming of particular geographical areas.
Jerzy Bański [firstname.lastname@example.org], Institute of Geography and Spatial Organization Polish Academy of Sciences, 00-818 Warsaw, Twarda 51/55, Poland
Marek Degórski [email@example.com], Institute of Geography and Spatial Organization Polish Academy of Sciences Twarda 51/55, 00-818 Warsaw: Poland
Tomasz Komornicki [firstname.lastname@example.org], Institute of Geography and Spatial Organization Polish Academy of Sciences Twarda 51/55, 00‑818 Warsaw: Poland
Geographia Polonica (2016) vol. 89, iss. 4, pp. 567-574 | Full text
This study presents mapping of Poland on the basis of a synthetic index of spatial accessibility to administrative and settlement centres of three categories, i.e. voivodeship (capitals of the country’s 18 province-regions), sub-regional and poviat (i.e. the capitals of county-level administrative units). Temporal accessibility by means of private car was referred to, on the basis of the author’s own traffic speed model, while the starting point for the map work was isochrone analysis carried out for the centres of the three aforementioned categories. Results were then summed using an original algorithm that weights different categories of accessibility to the urban centres in relation to the latter’s demographic potential.