Distribution of Krakow’s population by dasymetric modeling method using Urban Atlas and publicly available statistical data

Abstract

Summary:This publication att empts to adapt the dasymetric method of mapping statistical areas to study population density and carry out the mapping of population distribution of the city of Krakow. Population studies of cities are an important issue, both from a spatial and urban planning point of view and in the preparation of market or crisis studies. Existing maps of the population of Krakow come down to simple cartograms referenced in administrative divisions. Based on the approaches given in literary sources (and modifying them appropriately with regard to the nature and detail of the data already in place), three population distribution maps of Krakow were developed using the binary method and -in two variable options -surface-weight aggregation. Arbitrarily adopted numbers of people assigned to particular types of land cover (the fi rst two implemented approaches) generalize the population distribution of the city and/or assume the possibility of a direct transfer of experience from other areas to the analyzed area. Therefore, in the third solution, an optimization of the surface-weight aggregation method was made, obtaining new characteristic proportions for Krakow in the population density for inhabited categories of land cover. When analyzing cartograms and histograms of errors noted within the urban units, the validity of this approach was confi rmed.The map generated provides a bett er refl ection of the actual spatial diversity of the population of Krakow than the previously used simple cartograms (or the dasymetric modeling, which did not take into account the specifi cs of the mapped area).

Analysis of the usefulness land use and land cover maps for estimating the population of urban areas – valorisation of multi-variant population maps based on the GUS kilometre network

“…The proposed methodology of optimization of weights of surface-weight methods can be applied on condition that a map is available with building categories that have a real connection with the number of inhabitants. Urban Atlas data meet this condition, which is confirmed by the results presented in the works of , Pirowski and Pomietłowska (2017). CLC data are available for use, but population conversion must be based on a binary method or the method of determining weights must be arbitrary, which is consistent with the conclusions of Bielecka et al (2005).…”

“…The second problem is the correct determination of limiting variables and variable relationships. The implementation at the national level of detailed databases on buildings and monitoring of the coverage of overland areas (Corine Land Cover, Urban Atlas) were quickly reflected in population mapping (Gallego and Peedell, 2001;Bielecka, 2005;Kunze and Hecht, 2015;Cockx and Canters 2015;Batista and Poelman, 2016;Całka et al, 2016;Pirowski and Pomietłowska, 2017;Pirowski and Bartos, 2018). These databases are in many cases insufficient -they do not cover a given area, they have a limited time range and too low spatial accuracy.…”

Detailed mapping of the distribution of a city population based on information from the national database on buildings

“…Statistical values obtained in the process of optimisation could constitute a basis for an evaluation and choice of the best option. In order to accomplish this objective, use was made of the experience based on Land Use / Land Cover (LULC) data from Corine Land Cover (CLC) and Urban Atlas (UA), presented in the papers of Gallego and Peedell (2001), Bielecka (2005), and Pirowski and Pomietłowska (2017), in which surface-weight methods of correlation were used. In these methods, the weight coefficient differentiated the population density among various types of land coverage.…”

“…For population density maps, land use types are usually adopted as limiting variables, while land morphology, soil type, physicalgeographical conditions and others constitute binding variables (Bielecka et al, 2005). An example of the use of satellite data for the determination of limiting variables is the paper of Harley ( 2002), however, its derivative products -land use and coverage maps (Eicher and Brewer, 2001;Gallego and Peedell, 2001;Mennis, 2003;Bielecka et al, 2005;Gallego, 2010;Pirowski and Pomietłowska, 2017), including the detection of impermeable surfaces -are used more commonly (Wu and Murray, 2005;Azar et al, 2010, Bajat et al, 2013.…”

Analysis of land use and land cover maps suitability for modeling population density of urban areas – redistribution to new spatial units based on the object classification of rapideye data

“…(2005). Then, on the Urban Atlas database, Pirowski and Pomietłowska (2017). Information is also obtained directly from satellite data, generating the necessary information on land cover by classifying buildings in terms of population mapping (Dittakan et al 2013, Lo, 2003.…”