Wszystkie pola: choropleth map - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Comparing continuity and compactness of choropleth map classes
Autorzy:: Całka, B.
Powiązania:: https://bibliotekanauki.pl/articles/145406.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: klasyfikacja danych
zagospodarowanie przestrzenne
zaludnienie obszaru
data classification
choropleth map
neighbourhood analysis
spatial contiguity analysis
head-tail breaks method
Opis:: Population density varies sharply from place to place on the whole territory of Poland. The largest number of people per 1 km2 is 21,531, while uninhabited areas account for about 48% of the country. Such uneven, non-Gaussian distribution of the data causes some difficulty in choosing the classification method in geometric choropleth maps. A thorough evaluation of a geometric choropleth map of population data is not possible using only traditional indicators such as the Tabular Accuracy Index (TAI). That is why the aim of the article is to develop an innovative index based on distance analysis and neighbour analysis of grid cells. Two indexes have been suggested in this paper: the Spatial Distance Index (SDI) and the Spatial Contiguity Index (SCI). The paper discusses the use of five classification methods to evaluate choropleth maps of population data, like head-tail breaks, natural breaks, equal intervals, quantile, and geometrical intervals. A comprehensive assessment of such geometric choropleth maps is also done. The research was conducted for the whole territory of Poland, using data from the 2011 National Census of Population and Housing. Population data are presented in the 1km grid. The results of the analysis are shown on thematic maps. A compatibility of the choropleth maps with urban-rural typology of the OECD (Organisation for Economic Co-operation and Development) was also checked.
Źródło:: Geodesy and Cartography; 2018, 67, 1; 21-34
2080-6736
2300-2581
Pojawia się w:: Geodesy and Cartography
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Choropleth map and diagram map - about merging methods of cartographic presentation
Autorzy:: Korycka-Skorupa, Jolanta
Miłaszewska, Małgorzata
Powiązania:: https://bibliotekanauki.pl/articles/2034524.pdf
Data publikacji:: 2010-06-01
Wydawca:: Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:: cartographic presentation methods
choropleth map
diagram map
Opis:: Various aspects of merging the chosen presentation methods (choropleth and diagram) on one map are discussed in the article. Attention is focused on the graphic match of both methods, on the character and reference of data presented in this manner. Examples of such matches are shown, from the simplest application to complicated anamorphic presentations.
Źródło:: Miscellanea Geographica. Regional Studies on Development; 2010, 14; 349-361
0867-6046
2084-6118
Pojawia się w:: Miscellanea Geographica. Regional Studies on Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Prezentacja zależności zjawisk metodą kartogramu złożonego
Presentation of phenomena relation using the method of two-variable choropleth map
Autorzy:: Leonowicz, A.
Powiązania:: https://bibliotekanauki.pl/articles/204360.pdf
Data publikacji:: 2002
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: kartografia
kartogram
mapa
map
cartography
choropleth map
Opis:: Artukuł poświęcony jest ocenie możliwości zastosowania metody kartogramu złożonego do przedstawiania zależności zjawisk. Omówione zostały zagadnienia metodyczne związane z opracowywaniem kartogramów złożonych. Zwrócono uwagę na problem czytelności tych map.
Presentation of information about geographic environment in a form of the maps of single phenomena does not always allow for a correct interpretation of relations between them. Simultaneous reading and comparing of several maps is often too difficult for perception of an average reader. Therefore one should look for more synthetic presentation methods, which instead of elementary information - about phenomena distribution, would present transformed information - e.g. about their relations. A two-variable choropleth map can be such a method. Its main feature is, that it presents values of two geographic phenomena within an areal units on map. The article discusses main methodic aspects of two-variable choropleth map elaboration. These are: choise of phenomena to be presented, preparation of a statistical scattergram, which is the basis for class intervals selection, and classification method. The author also presents principles, which should govern the process of planning a graphical solution suitable for the presentation of two variables. A color legend of a two-variable choropleth map used by the U.S. Bureau of the Census in the seventies is an example of such a solution. Poor readability of maps prepared with it suggests that further modifications of this legend are needed. Functioning of two-variable choropleth maps are the main source of limitations of this method. It is impossible to present phenomena distribution and relations at the same time. Thus a two-variable choropleth map should be seen as a compromise. Poor legibility of maps prepared with this method is a source of serious doubts. It has been proved through experimental research (H. Weiner, C.M. Francolini 1980, J. Olson 1981). The reading process can be improved through limiting the number of classes, application of proper graphic solutions and developing a clear legend. Reader's experience with such maps also plays an inoportant role. There necessary, the presentation method should be explained.
Źródło:: Polski Przegląd Kartograficzny; 2002, T. 34, nr 4, 4; 273-285
0324-8321
Pojawia się w:: Polski Przegląd Kartograficzny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Kartodiagram i kartogram a charakter danych - badania eksperymentalne
Diagram map and choropleth map in relation to data type - experimental research
Autorzy:: Korycka-Skorupa, J.
Powiązania:: https://bibliotekanauki.pl/articles/204424.pdf
Data publikacji:: 2004
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: kartogram
kartodiagram
badania eksperymentalne
diagram map
choropleth map
experimental research
Opis:: Poprawne stosowanie kartograficznych metod prezentacji warunkuje czytelność redagowanej mapy. Wiąże się z tym m. in. wybór odpowiednich danych statystycznych. Często sprawia on autorom map wiele trudności, dlatego stał się powodem niniejszych rozważań. W artykule przedstawiono próbę klasyfikacji danych za względu na ich charakter. Zaprezentowano poglądy kartografów związane ze stosowaniem danych do dwóch metod prezentacji: kartogramu i kartodiagramu. W dalszej części artukułu przedstawiono analizę danych na mapach w atlasach geograficznych oraz badania ankietowe, których celem było skonfrontowanie przedstawionych poglądów z praktyką kartograficzną.
Proper application of cartographic methods of presentation is a condition for map's readability. It is related to a choice of appropriate statistical data. The article presents an attempt to classify data by type (fig. 1). Absolute data is represented by absolute numbers. They can be divided into two groups: proper - simple data represented by absolute numbers and transformed, which despite undergoing a transformation (e.g. averaged in time or related to the whole set) are still absolute numbers. Relative data is represented in fraction form, in relation to a particular component. Relative data can be proper, shown as a fraction, and transformed. Data type is of significance when differentiating between two types of cartographic presentation: choropleth map and diagran map. In cartographic literature a lot has been written about the selection of data for choropleth map presentation. The choropleth map method is usually recommended for presentation of ralative data. Data selection for diagram map presentation is much more disputable. Most handbooks recommend absolute data. Unfortunately this recommendation is not supported with any evidence. Some authors allow also relative data, but they do not provide any evidence either. Therefore there is no specific advice as to which type of data should be chosen for diagram map presentation. This research tried to establish the practical solution to the problem of data selection. One of the methods is an analysis of maps published in geographic atlases. 3656 diagram maps from atlases have been analyzed in order to determine the type of data used for them. The results showed absolute data to be the majority (86,4% of analyzed diagram maps). Diagram map presentation of relative data was applied significantly less often (4% of the total number of diagram maps). Another method of establishing a connection between theory and cartographic practice is a survey. Survey questionnaires were distributed twice to geography students at Warsaw University and Higher School of Pedagogics in Kielce. The first survey was to establish the methods of data selection by individuals who had not been acquainted with the rules of cartography. The second survey, conducted after a oneyear cartography course, was to determine the application of theory in practice. There were two types of tasks. The first one was to invent map titles (an open task). In the second part students were given several titles and asked to decide, which of them could be presented on a particular map (a closed task). Maps in the questionnaire had to be perceived similarly by all participants and should not be associated with any real terrain. Therefore fictional maps had been prepared. The first survey included 178 students (100 from Warsaw, 78 from Kielce). It showed that data selection for diagram maps and choropleth maps is not intuitive. The participants asked to suggest map topics handled diagram maps rather well; the results for choropleth maps were worse. Detailed analysis of chosen topics showed that the students had difficulties with both methods. The participants could not differentiate between the two types of maps and often assigned to them the same topics and therefore the same data. The second survey included 158 participants ( 84 from warsaw, 74 from Kielce). In both groups there was an increase of the number of correct answers (fig.11). However the results in both centers were significantly different. In Warsaw there were more correct answers, while in KIelce only a decrease in the number of incorrect answers was evident. The conducted survey showed that data selection for the methods of cartographic presentation is not an easy task. Theoretical instructions quoted in handbooks are not intuitively followed by map users. Choropleth map presentation is usually connected with the application of relative data. Diagram maps usually show absolute data. This rule is respected in practice, alt-hough there are common exceptions. Some of the students, before as well as after the course, had different opinions-in the first survey unconsciously, basing in intuition or coincidence, in the second survey often consciously, claiming that particular data simply fit the map in question. Despite cartographic education not all the students acquired the rules. Different results in Warsaw and Kielce may suggest that cartography lecturers put different stress on this issue. However in both centers there is a visible improvement after the course has been completed. It can be assumed, that the results are more evident where the theory has been stressed more. In both schools, after the course had been completed, there was only a small number of incorrect or illogical answers. This shows that the students acquired presented knowledge. However in cartography some rules are more and some less logical. Presenting forests in green and waters in blue is beyond question. It is logical and obvious. Data selection for the methods of presentation is not as logical, therefore it is not as widely accepted.
Źródło:: Polski Przegląd Kartograficzny; 2004, T. 36, nr 1, 1; 12-25
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Pojawia się w:: Polski Przegląd Kartograficzny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Sposoby ujęcia danych a poprawność map opracowanych metodą kartogramu
Data character and correctness of choropleth maps
Autorzy:: Tomaszewska, M.
Powiązania:: https://bibliotekanauki.pl/articles/204173.pdf
Data publikacji:: 2009
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: kartogram
dane
poprawność
mapa
choropleth map
correctness
maps
Opis:: W artykule krytycznie podsumowano dorobek kartografii w zakresie stosowanych podziałów sposobów ujęcia danych, przedstawiono propozycję typologii danych uwzględniającą najczęściej stosowane przez kartografów kryteria i na jej tle oceniono poglądy kartografów na poprawność kartogramów w zależności od sposobu ujęcia danych wykorzystanych do ich opracowania.
Choropleth is currently one of the most commonly used methods of cartographic presentation. However, the rules of application of this method have not been clearly established yet. One of the controversial issues is the character of data. Using the criterion of presentation data can be divided into 'raw' data, not related to any other data (i.e. absolute) and data in the form of a fraction, related to other data (i.e. relative). The method of presentation also determines further divisions of relative data used in cartographic literature. Division into the two categories (absolute and relative data) is widely accepted by cartographers, but the way they interpret relative data varies. It is visible in various terminology used for relative data by particular authors and various elements that it refers to (B.D. Dent 1996; K. Kocimowski, J. Kwiatek 1976; M. Kraak, F.-J. Ormeling 1998; J. Pastawski (ed.) 2006; L. Ratajski 1973, 1989; A.H. Robinson 1953; A.H. Robinson 1995; K.A. Saliszczew 1976; Slocum et al. 2009; W. Witt 1967, E. Wonka 1979, J.K. Wright 1995).The criteria used for classification of the character of data are not sufficient for establishing a specific definitive and exclusive logical division of the character of data (W. Marciszewski 1988). The author suggests a typological approach. When determining types the author proposes to keep the division into absolute and relative data (obtained by referring one set of data to another). On the other hand one has to recognize the aspect of data processing by mathematical-statistical operations and classify them as processed and unprocessed. Using the two criteria presented above the author proposes to determine four main data types: absolute unprocessed (e.g. the number of births), absolute processed (e.g. average number of births in the years 2000-2005), relative unprocessed (e.g. relation of births to deaths), relative processed (variation of the relation of births to deaths). The above considerations concerning the typological approach to the character of data can be presented as a scheme (fig. 1). Since some data types can not be classified as either purely relative or absolute, the sets overlap (gray area). This approach creates two intermediate types: data which can be considered either absolute processed or relative unprocessed (e.g. the number of cars per family in Warsaw treated as the total number of cars related to the number of families, or as an average number of cars per family) and data which can be classified either as absolute processed or relative processed (e.g. increase of the average number of cars per family in Warsaw in the last decade). Therefore six categories can be established. Cartographers agree, that the most proper method of map elaboration using the choropleth method is the one which uses relative data applied to the entire area of enumeration units, shown on a map of e.g. population density (B.D. Dent 1996; G.F. Jenks 1976; G.F. Jenks, F.C. Caspall 1971; F.J. Monkhouse 1970; F.J. Monkhouse, H.R. Wilkinson 1971; J.-C. Muller 1983,1985; M.-J. Kraak, F. Ormeling 1998; J. Pasławski 1991, 2003; J. Pravda 1983, 2004, T.A. Slocum et al. 2009). This group of the character of data - presented on the scheme as a dense dot pattern (fig. 2) - constitutes only a part of two basie types representing relative data. Method of elaboration of a choropleth basing on such data and its correct interpretation (linked to the size of basie fields) is presented in fig. 3. For choropleth map design cartographers also accept the use of other relative data: amounts related to a part of the area of enumeration units (e.g. share of wheat sown area in the total sown area), amounts related to the total population of a unit (e.g. share of population aged 1595 in total population), amounts related to a part of the population of a unit (e.g. percentage of working individuals) and amounts referred to other elements (e.g. number of inhabitants per pharmacy), (among others: D.J. Cuff, K.R. Bieri 1979; G.F. Jenks 1976; M.-J. Kraak, F. Ormeling 1998; L. Ratajski 1989; A.H. Robinson et al. 1988, 1995; K.A. Saliszczew 2001). The group of data which the article describes as relative (related to elements other than the total area of the enumeration unit) refers to two, previously discussed basie types (blue color) and two intermediate types (gray color). Its range is shown in sparse dot pattern (fig. 2). The reader interpreting the choropleth prepared basing on the data referring to elements other than the total area of the enumeration unit should be aware that the values of the presented indicator can be unconnected to the area of those units, and that the indicator's value is also affected by the data in its denominator, though such information is often not provided (fig. 4). Most cartographers are convinced that absolute data should be presented in the form of proportional symbols. Specialist who deny the possibility of applying absolute data for preparation of choropleth maps point out interpretative difficulties resulting from different size of reference units (D.J. Cuff, K. R. Bieri 1979; B.D. Dent 1996; G.F. Jenks 1976; A.H. Robinson, R. Sale, J. Mor-rison 1988; T.A. Slocum et al. 2009). When reading a choropleth map prepared using absolute data one should overlook the size of enumeration units (fig. 5), as in the case of choropleth presentations basing on relative data (referring to other elements than the enumeration unit). It should be pointed out that in the case of such presentation the values are not affected by any other data, which makes interpretation easier. It should be reminded that some data classified as relative data can be at the same time classified as absolute data. Therefore it is difficult to accept a notion that absolute data can not be used for choropleth maps. Considering the arguments presented by cartographers and the rangę of ambiguity concerning the classification of the character of data, one should recommend the use of relative data (referring to the whole enumeration unit) for preparation of choropleth maps. However, bearing in mind how common choropleth maps are, such recommendation is unlikely to change cartographic practice. What is more, application of other than relative data (refering to the whole area) for choropleth maps may have certain advantages e.g. basing on a choropleth it is easy, on the general level of map reading, to separate regions characterized by a certain value. Further theoretical considerations concerning the correetness of choropleth maps should also account for the results of empirical research on the preferences and skills of such maps' users.
Źródło:: Polski Przegląd Kartograficzny; 2009, T. 41, nr 3, 3; 209-220
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Pojawia się w:: Polski Przegląd Kartograficzny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: The beginnings of the choropleth presentation
Autorzy:: Korycka-Skorupa, J.
Pasławski, J.
Powiązania:: https://bibliotekanauki.pl/articles/92536.pdf
Data publikacji:: 2017
Wydawca:: Oddział Kartograficzny Polskiego Towarzystwa Geograficznego
Tematy:: Dupin Charles
choropleth map
history of thematic cartography
Opis:: The discovery in the cartographic collections of the Faculty of Geography and Regional Studies at the University of Warsaw of an original map by Charles Dupin – the first choropleth map – provided an opportunity to conduct a closer methodological analysis of the map and to investigate the subsequent development of this presentation method during the first half of 19th century. From relatively early on, the accepted principle was for choropleth map presentations to use statistical data still imprecisely referred to as relative, as well as using a distribution series as a method of generalizing data.
Źródło:: Polish Cartographical Review; 2017, 49, 4; 187-198
2450-6974
Pojawia się w:: Polish Cartographical Review
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Kartogram i kartodiagram jako przykład łączenia metod prezentacji kartograficznej
Choropleth map and diagram map as an example of combining cartographic presentation methods
Autorzy:: Dębowska, A.
Korycka-Skorupa, J.
Powiązania:: https://bibliotekanauki.pl/articles/204260.pdf
Data publikacji:: 2010
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: metody prezentacji kartograficznej
kartogram
kartodiagram
kartogram diagramiczny
mapa anamorficzna
charakter danych
odniesienie danych
cartographic presentation methods
choropleth map
diagram map
choropleth map basing on diagram
cartogram
character of data
Opis:: W artykule omówiono różne aspekty łączenia dwóch metod prezentacji - kartogramu i kartodiagramu na jednej mapie. Zwrócono uwagę na dopasowanie graficzne obu metod oraz na charakter i odniesienie przedstawianych w ten sposób danych. Pokazano przykłady takich połączeń, od najprostszych zastosowań po skomplikowane ujęcia anamorficzne.
Presentation of data on maps requires appropriate graphic methods to make the presented information logical and clear for map users. Depending on the range of information cartographers decide to use one, two or several presentation methods on a single map. A common combination is of a choropleth map with a diagram map. A choropleth map consists of area units (geometrical or administrative) designated with a color scale, a method for map background, while a diagram map consists of scaled diagrams appearing 'on top'. Because of this the two methods match and do not interfere graphically. Thus more data can be presented on a single map. It is important that data is logically selected and thematically linked, to create a new quality -communicate new information. Let us look at a combination of a choropleth map and a diagram map in relation to data selection. Considering possible combinations of two types of data (relative and absolute) with two methods of presentation, four types of combinations can be distinguished. (fig- 2). Type A is the most common and most correct according to cartographic methodology. Type B is also quite common. Type C seems incorrect because of a choropleth presentation of absolute data, which is contrary to theoretical recommendations of cartographic methodology. The last type is against the rules of cartographic methodology and is not used. When analyzing a combination of a choropleth map and a diagram map on a single map it is worth having a look not only at the character of data but also at what it relates to. In the case of a choropleth map data al-ways relates to area units. In diagrams data can relate to points, lines as well as area. Therefore the following types of graphic solutions can be determined (fig. 10). Type I is definitely the most common combination. Both methods relate to the same area units, which significantly facilitates map reading and interpretation. Many maps of Type II can be found in atlases, especially in maps thematically linked to population and industry, where data is related to points (diagrams) and area (choropleth). In such cases choropleth map is used to present various markers in relation to whole area unit: voivodship, countries, eta, while a diagram map presents e.g. cities or industrial centers. Type III is used when there is a need to show movement against the background of a choropleth map. Often the presented topic is so broad that it requires several graphic techniques simultaneously. They can be various types of diagrams (various shapes and colors), a complex choropleth map (two choropleth maps superimposed), various signatures and other methods of presentation (isolines, dots, ranges). Browsing through maps one can easily find ones with simultaneous use of several choropleth maps and diagram maps. There also exist some more complex combinations, which result in a single 'new' method of presentation, such as choropleth maps basing on a diagram or cartograms. Map authors combine the choropleth method with a diagram method to present a certain group of topics. This combination is often used to present socio-economic issues, because they require quantitative or ordering methods, of which a choropleth map and a diagram map are the most popular. While selecting data for cartographic presentation it should be remembered that using two or more sets of data on a single map has to be justified. Data shown on a single map has to be complimentary, self-explanatory and selected correctly from the point of cartographic methodology and graphic design. Any attempt to make an exhaustive and clear presentation of a particular problem on a map requires some graphic techniques involving a combination of cartographic methods. Clarity of such presentation depends on data selection, graphic design and perception of map user. Presented analysis does not conclude the topic of research, rather it opens the door towards a broader view of the potential of combining various cartographic methods.
Źródło:: Polski Przegląd Kartograficzny; 2010, T. 42, nr 4, 4; 305-320
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Pojawia się w:: Polski Przegląd Kartograficzny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Unusual graphic solutions and their place in classification of cartographic presentation methods
Autorzy:: Korycka-Skorupa, Jolanta
Kacprzyk, Izabela
Miłaszewska, Małgorzata
Powiązania:: https://bibliotekanauki.pl/articles/2030311.pdf
Data publikacji:: 2008-06-01
Wydawca:: Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:: visualisation
cartographic presentation methods
ordinal methods
choropleth map
Opis:: Examples of unusual and unconventional graphic solutions which we can often find in the times of fast developing computer technology are discussed in the article. Many of them are suggested by various GIS programs, few of them may be found in the press or on the Internet. This means that their users are people who are not associated with cartography and who are not familiar with the framework of cartographic methods.
Źródło:: Miscellanea Geographica. Regional Studies on Development; 2008, 13; 289-298
0867-6046
2084-6118
Pojawia się w:: Miscellanea Geographica. Regional Studies on Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Czytelność kartogramów prostych i złożonych - badania eksperymentalne
Effectiveness of one-variable and two-variable choropleth maps - an experimental research
Autorzy:: Leonowicz, A.
Powiązania:: https://bibliotekanauki.pl/articles/204457.pdf
Data publikacji:: 2006
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: kartogram prosty
kartogram złożony
czytanie map
mapa
czytelność
zależność zjawisk geograficznych
one-variable choropleth map
two--variable choropleth map
map reading
geographical relationship
effectiveness
Opis:: W artykule omówiony został eksperyment przeprowadzony z udziałem użytkowników map, którego celem było porównanie kartogramów prostych i złożonych pod względem czytelności informacji o rozmieszczeniu zjawisk oraz informacji o zależności zjawisk. Uzyskane wyniki świadczą o tym, że kartogramy złożone są dobrze czytelną formą prezentacji zależności zjawisk, co weryfikuje dotychczasowe poglądy kartografów.
Two-variable choropleth method allows to present two different quantitative variables on the same map. The purpose of such mapping technique is to visualize geographic relationship. Readers' perception is considered to be an important limitation of two-variable choropleth maps. The negative opinion about the effectiveness of this form of presentation is based on maps published in the 1970s by the U. S. Bureau of the Census. Poor readability of Census maps results from an inappropriate graphic representation and it was evidenced experimentally (J. Olson 1981). In order to check improperly designed two-variable chorpleth maps can be well understood by their readers, an experimental test was conducted, in which the effectiveness of one-variable and two-variable solution was compared. It was checked if one-variable maps are more appropriate to show spatial distribution and if two-variable maps make the geographic relationship easier to interpret. The participants were 128 students of geography at Warsaw University. They performed different typical map-reading tasks on one-variable and two-variable choropleth maps. The students were divided into two groups. Each student performed the test twice, each time using a different type of maps - the first group worked with one-variable maps first, the second group worked with two-variable maps first. In order to design comprehensive two-variable maps a complementary color scheme, proposed by J.R. Eyton (1984), was used and number of classes was limited to 9 (3x3). The maps created for experiment looked like the actual census maps. The test consisted of six tasks. The students were asked to extract from maps information about distributions (tasks Rp1, Rp2, Rp3) and variables relationship (tasks Zp1, Zp2, Zp3). Questions were asked about specific as well as about general information; they referred to individual enumeration units, regions and whole maps. As a test result the percentage of correct responses was calculated. At the end of the experiment students expressed their opinions and preferences about both types of maps. The results of this experiment verify opinion about poor readability of two-variable choropleth maps. Students were more accurate in reading spatial distribution on one-variable maps (especially the general pattern) and in reading spatial relationship (at every level of perception) on two-variable maps. They found two-variable maps a little bit more difficult to interpret but this form of presentation seemed more unusual and interesting. They found also that one-variable solution is more appropriate to read distribution and two-variable solution - to read variables relationship. These results showed that two-variable maps, if properly designed, can be quite properly interpreted by map readers and can be useful in visual exploration of geographical data, especially when the relationship between phenomena is crucial.
Źródło:: Polski Przegląd Kartograficzny; 2006, T. 38, nr 1, 1; 5-23
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Pojawia się w:: Polski Przegląd Kartograficzny
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Kartogramy w Atlasie Rzeczypospolitej Polskiej
Choropleth maps in Atlas of the Republic of Poland
Autorzy:: Pasławski, J.
Powiązania:: https://bibliotekanauki.pl/articles/204494.pdf
Data publikacji:: 2007
Wydawca:: Polskie Towarzystwo Geograficzne
Tematy:: atlas narodowy
metodyka kartograficzna
kartogram
national atlas
cartographic methodology
choropleth map
Opis:: Artykuł zawiera analizę map wykonanych metodą kartogramu zamieszczonych w narodowym atlasie zatytułowanym Atlas Rzeczypospolitej Polskiej, wydawanym przez Głównego Geodetę Kraju w latach 1993-1997. W atlasie znajduje się 912 map, z czego 49% stanowią kartogramy. Mapy te omówiono krytycznie w czterech paragrafach: dane statystyczne, pole odniesienia, wyznaczanie klas oraz forma graficzna legendy. Zgodnie z ogólnie przyjętymi zasadami znakomita większość kartogramów prezentuje wartości względne odniesione do powierzchni i ludności. Kilka map zawiera dane bezwzględne, ale ich prezentacja zgodna jest z logiką mapy. W czasie opracowywania atlasu na podział administracyjny kraju składało się 49 województw i 2365 gmin. Spośród map wykonanych metodą kartogramu 56% odnosi się do województw, a 30%, czyli 140 do gmin, co jest prezentacją dość szczegółową. Pozostałe mapy opierają się na różnych podziałach przestrzennych, m.in. historycznych i organizacji wyznaniowych. Tylko na jednej mapie wykorzystano pola geometryczne. W atlasie przeważają kartogramy sześcioklasowe, a granicami klas są wartości "okrągłe". Bliższa analiza wykazała, że stosując zmienną rozpiętość klas, dążono do podobnej liczebności jednostek przestrzennych w klasie. Istotnym elementem każdej mapy jest legenda, ale kartografowie nie są zgodni, jak należy opracować legendę kartogramu. Autor artykułu we wcześniejszych swoich publikacjach zalecał legendę, która w atlasie stosowana jest rzadko. Najczęściej jest to legenda usytuowana poziomo, rzadziej pionowo, zawierająca tylko jedną wartość granic klas. Skale barwne opracowano poprawnie, unikając dość często popełnianego błędu polegającego na stosowaniu sekwencji barw właściwych skalom hipsometrycznym. Atlas Rzeczypospolitej Polskiej należy ocenić wysoko z punktu widzenia zastosowanych kartograficznych metod prezentacji. Wprawdzie nie zawiera on rozwiązań nowatorskich, a raczej tradycyjne, ale jest opracowany rzetelnie, co pozwala na poprawny odbiór map nie tylko przez specjalistów.
The article contains an analysis of choropleth maps included in Atlas of the Republic of Poland, published by the Surveyor General of Poland in the years 1993-1997. The atlas contains 912 maps, 49% of which are choropleth maps. They are critically described in four paragraphs: statistical data, space unit, class selection and legend design. In accordance with commonly accepted rules the majority of choropleth maps presents relative value in relation to area and population. Several maps present absolute value, but their presentation is logically justified (e.g. fig.1) At the time of atlas preparation the country's administrative division was into 49 voivodships and 2365 communes. 56% of all choropleth maps in the atlas concerns voivodships and 30% (or 140 maps) concerns communes, which accounts for a rather detailed presentation. Remaining maps employ other spatial divisions, e.g. historical or religious. Only one map uses geometrical units. Most of the choropleth maps in the atlas are of a six--class type (fig. 6), with class limits set at round numbers. A closer analysis showed that with varying class range there was a tendency to equalize the frequency of spatial units in every class. Legend is an important element of each map. Nevertheless cartographers are not unanimous as to how a choropleth legend should be prepared. The author in his previous papers recommended a legend which is rarely used in atlases (fig. 11). Most often it is horizontal, sometimes vertical, including only one value of class limit (fig.12). Color scale was prepared properly, avoiding a common mistake of using color sequence characteristic for hipsometric tint scale. Atlas of the Republic of Poland should be highly evaluated from the point of view of applied cartographic methods of presentations. It is not innovative, but skillfully and properly made, which makes it accessible to a wide variety of readers, not only specialists.
Źródło:: Polski Przegląd Kartograficzny; 2007, T. 39, nr 1, 1; 19-34
0324-8321
Pojawia się w:: Polski Przegląd Kartograficzny
Dostawca treści:: Biblioteka Nauki

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