Nowadays there are many ways to visualize spatial data; the data can be presented in the form of text, tables, or maps. Each of these manners affects the user’s viewpoint, and consequently, the difficulty in interpreting the data. The basic form of presentation is the table, which allows the reader to study particular data; however, cartographic visualization is more effective, allowing the reader to see connections between various phenomena.
This article addresses the visualization of spatial data for the commune of Mrozy. The motivation to take up this topic was due to the small amount of cartographic resources available for the Mrozy commune – no professional cartographic visualizations have been made of the Mrozy commune to date. The maps that have been developed so far are as follows: a general map,1 a map of protected areas (Juśkiewicz 2014), both of which are very generalized and without any scale; and a topographic map at a scale of 1:45,000.2
The aim of this article is to produce a multivariable thematic cartographic presentation of a small region. It is based on the collection and analysis of spatial and statistical data, and the preparation of a cartographic visualization of the research area from the point of view of physical and socio-economic geography.
The Mrozy commune is located in the eastern part of the Masovian voivodeship (Polish – województwo mazowieckie). At 145 square kilometres, it is the largest commune in the county of Minsk. The population of the Mrozy commune is 8,500 inhabitants. The commune office is located in Mrozy, which has had town status since 1 January 2014 and is, therefore, one of the youngest towns in Poland. It is situated 58 km from Warsaw and 38 km from Siedlce (ed. Juśkiewicz 2014).
The Mrozy commune is located in the Central European Plain (Polish – Niż Środkowoeuropejski), in the macroregion of the Southern-Podlachia Plain (Polish –Nizina Południowopodlaska), which forms part of the Central Plains’ sub-region (Polish – Niziny Środkowopolskie). The boundaries of the commune are located on the border of two mesoregions: the Kałuszyńska Upland (Polish –Wysoczyzna Kałuszyńska) and the Węgrów Plain (Polish – Obniżenie Węgrowskie) (Kondracki 2013).
The formation of the Mrozy commune is connected with the presence of the Pleistocene ice sheet in this area. There are many postglacial geomorphological forms: hills (the average height is about 5–10 metres), eskers, and moraines. Aeolian accumulation forms (parabolic dunes) are located in the south and east of the commune.3
The rivers that flow through the Mrozy commune area belong to the catchment area of the Vistula, Liwiec, and Bug rivers. In the southern part of this area, the watercourses are tributaries of the Świder river, which flows into the Vistula. The Witówka river, along with a network of drainage ditches, flows through the middle of the area. The Trytwa river flows through Mrozy town itself and divides it into northern and southern parts. A few years ago a retention reservoir was built. Within the commune there are also many fish ponds that are often used for recreational purposes. (ed. Juśkiewicz 2014).
Forests cover 25% of the Mrozy commune’s area. The majority of this area is covered with coniferous forests, with the typical species being the silver fir. Deciduous forests, especially alder forests, occur mainly in the river valleys. The lowlands are covered with meadows, whereas the dry habitats (dunes and hills) are covered with grasses. The wetlands are covered by reeds, especially by the common reed and the cat’s-tail (ed. Juśkiewicz 2014).
Most species of birds and mammals occur in the north and east of the Mrozy commune, which are forested areas – these include boar, deer, foxes, and woodpeckers. Skylarks and yellow wagtails are found in non-forested areas, meadows, and fields. Near farms, there are many mammals, such as martens and brown rats; as well as birds, such as white storks and sparrows (ed. Juśkiewicz 2014).
The Mrozy commune has many forms of nature protection:
Protected Landscape Area – created to protect the environment; preserving the biological balance and areas that have been less transformed by man. The value of this area is in the occurrence of the common fir, meadow and water habitats, and the esker geological formations.
Nature Reserves – five nature reserves have been created to protect plants and animals, geological forms, and wetlands occurring in the Mrozy commune.
‘Bird’ Natura 2000 Special Protection Area – includes the Kostrzyń river valley and tributaries, wetlands, and meadows; a region of agricultural landscapes that are home to many species of plants and animals.4
‘Habitat’ Natura 2000 Special area of conservation – protecting one of the best wetland habitats on the South-Podlachia Plain.5
Natural monuments – there are more than 120 trees recognized as natural monuments in the Mrozy commune. These are not only single trees, but also entire avenues.
The starting point was to collect the data that were available from different sources. The data used in this research was acquired from the Mrozy commune office from vector data on land cover, and statistical data on population. The next source of data was the Centre for Geodesy and Cartography, from which the Database of Topographical Objects was obtained at a scale of 1:10,000 (BDOT10k). The Database of General Data, at a scale of 1:250,000 (BDOO), was also used. The final source of spatial data was the official website of the Directorate-General for Environmental Protection (GDOS),6 which provides free data on nature conservation for the community of Mrozy.
The second part of this article involves the assessment of the collected data. The data was checked in terms of completeness (it turned out that some of the data was lacking), topicality, details (the Mrozy commune is a small area), and usefulness for map design (the data deemed useful for visualization, was data with a spatial reference). A database was developed for the purposes of spatial data visualization. The data in this database was coded, generalized, and described. Furthermore, the database can be updated and expanded as needed.
The next stage was the selection of appropriate cartographic methods for visualization. In designing the map the authors used quantitative methods: the dot method (population distribution map), choropleth (population density map), and the proportional symbol map (population change map). Qualitative methods were also used: the symbol method, the range method (map of nature conservation), and the chorochromatic method (land cover map) (Ratajski 1989).
The next step in the visualization was the use of appropriate graphical variables for the phenomena presented by each map. Using the relevant graphical variables helps users to perceive the image, and helps express the variety of phenomena presented on the maps (Żyszkowska 2016). An important stage in the preparation of the maps was the creation of the legends so that the user could find information about the symbols on the map (Korycka-Skorupa 2002). The legend is ‘the key to the map’ that helps users to read and interpret the map correctly.
A map legend can also indicate how the map should be read and can assist in the reading of hidden information (Gołębiowska 2010). Properly constructed, legends help the phenomenon represented by thematic maps to be understood. The legends developed in this study are simple in form so they are easy to read and analyse (Gołębiowska 2015).
The final phase of the work was devoted to evaluating the results, correcting possible errors, and checking the effectiveness of the data presented for the small area of the Mrozy commune. It is important that the results are easy to interpret for all users. The results will be made available to local authorities. A simplified scheme of the research is shown in Figure 1.
This section presents the results of the study. The series of thematic maps was developed at a scale of 1:100,000. The coordinate system used for the maps was the Poland Coordinate System, 1992. ArcMap 10.3 software and the Corel Draw X6 graphic package were used for the cartographic presentation of the data.
General map (Figure 2)
The first map in the series is the general map, which presents the general situation of the Mrozy commune. The map was made using the chorochromatic method along with the symbols method. The base map is a contour map of the boundaries of the Mrozy commune. The primary objective was to create a background for the symbols, and for this purpose data from the land cover map was used. The roads were then divided into main roads, secondary roads, and local roads. The next step was to create the symbols that would mark the most important places in the Mrozy commune – places such as churches, pharmacies, monuments, health centres, and so on.
Land cover map (Figure 3)
The chorochromatic method was used to create the land cover map of the Mrozy commune. The data was acquired in cooperation with the commune office in Mrozy. The map contains nine forms of land cover: roads, railways, buildings, meadows, forests (deciduous, coniferous, and mixed), hydrography, and wetlands. The final step in creating this map was the selection of suitable colours for each form of land cover.
Map of nature conservation forms (Figure 4)
The Mrozy commune has many forms of nature protection:
Protected landscape area
Special areas of conservation (‘Habitat’ Natura 2000)
Special protection areas (‘Bird’ Natura 2000)
Five Nature Reserves
The map of protected areas was made using the range method, and is used to visualize protected areas: spot range (uniform colour without contour), pattern, and line coverage. Each one is different, so that users have no problem interpreting the map (Saliszczew 2002).
Population map (Figure 5)
This map was created by combining two methods of cartographic presentation.The first is choropleth method, ‘probablu one of the most commonly used methods of cartographic presentation’ (Slocum 2009).
Information about the population in the 26 rural administrations was obtained from the commune office in Mrozy. The map shows the relationship between population and area. The data has been divided into five population density classes, which makes it easier for the user to interpret it. The colours used (varying shades of yellow) are appropriate for this kind of data; as the intensity of the phenomenon increases, the colour becomes darker.
The second method is the proportional symbols method; this represents the numerical data associated with point locations (villages within the Mrozy commune). Each circle is individually proportional to the value it represents (Ratajski 1989).
Population distribution map (Figure 6)
The dot map shows the distribution of the population for the Mrozy commune. The base map is a contour map of the boundaries of the Mrozy commune. The most important parameters in determining the appearance of a dot map are dot size and unit value. The Mrozy commune has over 8,500 inhabitants,7 so the best option is a dot that symbolizes 10 inhabitants and has a diameter of 0.5 mm (Pasławski 2008). The applied topographic layout of dots means that they are located at the actual occurrence of the phenomenon (Spallek 2002). The dots are located manually, based on the geography of the commune’s forests, rivers, and roads.
Map of population change
The purpose of this map is to show the population change during the period 1978–2016. The base map is a contour of the map of the boundaries of the Mrozy commune, from the BDOT10k. This time, the method used was a proportional symbol map – more specifically, squares.
The brown square has a fixed size (100%); it represents the 1978 population and is the reference point for the orange square. The second square represents the 2016 population and its size is adjusted to the represented value (Ratajski 1989). It shows what percentage of the 1978 population makes up the 2016 population. The interpretation of the map is quite simple – a larger brown square means that the population has decreased, while a larger orange square means that the population has increased relative to 1978.
It is worth mentioning the problems that occurred during the preparation of the preliminary results. On commencing the visualization, it was found that the boundaries of the commune differed depending on the different sources. It was necessary to standardise the boundaries of the commune; for this purpose, the State Boundary Register was used (Figure 8a). The boundary layer of this source is identical to the BDOT10k (Figure 8b).
Another problem related to the buildings, which are located on layers with three degrees of detail (Figure 9.). The first one, called ‘buildings’, contains the generalized outline of the terrain on which the buildings are located (Figure 9a.). The second level of ‘built-up areas’ is a simplified form of the building communities (Figure 9b.). The most detailed level of building presentation is the layer containing individual buildings (Figure 9c.). For the presentation of data on a scale of 1: 100,000, the most general layer, ‘buildings’ was used, but the final layer used was more detailed.
Another issue was in the presentation of anthropogenic objects (buildings and roads) that are directly related to each other (Figure 10). The shape of built-up areas required geometry (sharp angles) that is characteristic of such objects. It is also important that buildings, especially in ‘street-type’ towns, be shaped to follow the line of the road (Figure 10b.). In the case of road networks, it was necessary to fill in the missing parts of the roads, especially where none of them reached the village.
Discussion of results
In this part of the article, our work is compared with the work of other authors. The first map comes from the Mrozy commune’s official website (Figure 11a.). No scale or scale bar is included, so the scale of the map is unknown. The cartographic grid is also missing, which means determining the exact location of the area is impossible.
The coverage of the map is limited to the boundaries of the commune. These are marked in blue, which may mislead users into perceiving them as rivers. This map was compared with the new map that was elaborated during this project (Figure 11b.).
The next difference is in the presentation of the forests (Figure 12.). The map from the website of the Town and Municipality of Mrozy presents the forest in a uniform colour, whilst the Nature Reserves have been indicated (Figure 12a.). In our elaboration (Figure 12b.), the forest range is uniformly coloured, but a pattern is present in the middle symbolizing the dominant type of forest. There are no Nature Reserves presented on the map from the website.
One important aspect is the differences in the presentation of the road network (Figure 13.). The map available on the website of the Commune Office (Figure 13a.) contains a hierarchy of roads within the boundaries of the terrain, which is an undoubted advantage. There are two levels that distinguish between the main roads (probably county-wide roads), and others. There is no hierarchy of roads on the map of our own elaboration (Figure 13b.); only the primary roads outside the Mrozy commune have been marked.
The aim of this study was to produce a multivariable thematic presentation of a small region. The goal was achieved on the basis of the specific objectives of acquiring and visualizing the data and analysing the research area.
The result of the work is a series of thematic maps relating to the natural environment and to socio-economic issues. In summary, the above considerations lead to the conclusion that the results of the work carried out has significantly broadened the map resources of the community of Mrozy. We hope that the collected materials will allow other researchers to continue working on the topic. The developed maps present a general view of the phenomena occurring in the community; they may also serve as promotional materials and be used to publicize the wider community of Mrozy.
The data used in this research was acquired from the commune office of Mrozy, from the Centre for Geodesy and Cartography, and from the official website of the Directorate-General for Environmental Protection (GDOS).
This research was supported by the Ministry of Science and Higher Education, Republic of Poland under the Theme no. 501-D119-64-180200-15.
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About the article
Published Online: 2018-09-30
Citation Information: Miscellanea Geographica, Volume 22, Issue 3, Pages 150–156, ISSN (Online) 2084-6118, DOI: https://doi.org/10.2478/mgrsd-2018-0008.
© 2018 Patrycja Fabijańska, Jolanta Korycka-Skorupa, published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0