Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "choropleth map" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-8 z 8
    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
    Artykuł
    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
    0324-8321
    Pojawia się w:
    Polski Przegląd Kartograficzny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
    0324-8321
    Pojawia się w:
    Polski Przegląd Kartograficzny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
    0324-8321
    Pojawia się w:
    Polski Przegląd Kartograficzny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
    Artykuł
    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
    0324-8321
    Pojawia się w:
    Polski Przegląd Kartograficzny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Internetowy Atlas metod kartograficznych
    Internet Atlas of cartographic methods
    Autorzy:
    Korycka-Skorupa, J.
    Nowacki, T.
    Opach, T.
    Pasławski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/204143.pdf
    Data publikacji:
    2012
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    ilościowe metody prezentacji
    atlas metod kartograficznych
    kartogram
    kartodiagram
    metoda izolinii
    metoda kropkowa
    sygnatury ilościowe
    quantitative methods of presentation
    Atlas of cartographic methods
    choropleth map
    diagram map
    isoline map
    dot map
    quantitative symbols
    Opis:
    W artykule przedstawiono internetowy Atlas metod kartograficznych, skierowany do tych, którzy chcą poznać podstawowe zasady redagowania map statystycznych. Autorzy podjęli się analizy pięciu ilościowych metod prezentacji kartograficznej, próbując przedstawić użytkownikowi najważniejsze zagadnienia związane z ich stosowaniem i interpretacją.
    The free and all accessible Atlas of cartographic methods has been available on the Internet at www. educarto.pl since May 2012. The atlas was elaborated by the staff of the Department of Cartography of Warsaw University in 2010-2012. Growth of computer technologies has made it possible for everyone to author a map - especially a statistical one. Thus has appeared the need to prepare and make accessible to wider public a more elaborate guide than just a handbook or a set of instructions on how to run the program. The Atlas has been made to cater to the needs of those interested in learning basic rules of statistical map editing, so - of geography students, experts in spatial economy and environmental protection, surveyors. It is educational in character and aimed at showing quantitative methods and forms of cartographic presentation and focusing attention on map interpretation. It presents five quantitative forms and methods of presentation: diagram map, choropleth map, isoline map, dot map and quantitative symbols. The Atlas of cartographic methods is composed of two main parts (Fig. 1). The first part contains three 'chapters' of texts while the second - maps along with short commentaries. The first chapter is an elaboration entitled 'From the history of presentation forms and methods' and is illustrated with old maps. The second one - 'From data to map' - describes the process of editing a statistical map. It deals with data features and the possibilities of their transformation to fulfill the requirements of a specific presentation: - method of data reference (to points, area or line), data character (absolute, relative), method of showing data (continuous, discrete). The third chapter is entitled 'Methods step by step'. Its aim is to acquaint users with basic characteristics of the five forms of cartographic presentation. The second part of the atlas - 'Maps' - is a dynamic internet application and interactive environment for generating atlas full scale drawings. The application was programmed in PHP and is linked to MySQL database. The application's interface design was aimed to support the demonstrativeness of the Atlas - available functions have been limited to a minimum. The GUS (Central Statistical Office) Bank of Local Data resources (www.stat.gov.pl) served as material for elaborating maps in the Atlas. For elaborating a part of the Atlas full scale drawings an earlier prepared group of raster images was used. They were put on the server and shown in accordance with the parameters selected by the user. The remaining full scale drawings were created in a more complex way. Here applications programmed in PHP play an essential part. They process spatial and attribute data and display an automatically created map together with legend. The internet Atlas of cartographic methods can be treated as the first stage of a wider elaboration including all basic forms and methods of presentation.
    Źródło:
    Polski Przegląd Kartograficzny; 2012, T. 44, nr 2, 2; 105-119
    0324-8321
    Pojawia się w:
    Polski Przegląd Kartograficzny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Możliwości opracowania kartogramów i kartodiagramów w programie MapInfo Professional 10.5
    Possibilities of elaborating choropleth maps and diagrams in MapInfo Professional 10.5
    Autorzy:
    Dębowska, A.
    Korycka-Skorupa, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/204190.pdf
    Data publikacji:
    2013
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    MapInfo Professional 10.5
    systemy informacji geograficznej
    metoda i forma prezentacji kartograficznej
    metoda kartogramu
    metoda kartodiagramu
    geographic information systems
    method and form of cartographic presentation
    choropleth map method
    diagram map method
    Opis:
    W artykule przeanalizowano i oceniono możliwości opracowania kartogramów i kartodiagramów w jednym z programów typu GIS -MapInfo Professional 10.5. Omówione możliwości programu skonfrontowano z zasadami metodyki kartograficznej.
    Autors analyze and evaluate the possibilities of elaborating choropleth maps and diagrams using one of the most popular programs for servicing geographic information systems - MapInfo Professional 10.5. The article focuses only on two forms of cartographic presentation since they are the most frequently used and described in detail in MapInfo. The classification of map elaboration methods used in the MapInfo program is completely different from the classification accepted in Polish cartography. Not only is the "classification" completely different, but also MapInfo features methods unknown and incorrect from the cartographical point of view. These erratic solutions adversely affect the evaluation of the program. MapInfo Professional is made for a wide range of potential users, therefore it would seem natural to expect that they be given correct basics of cartographic methodology. Terminology used both in the program and in the MapInfo guides very often differs from the terminology accepted in Polish cartography, which is a serious problem. Not only does it adversely affect the understanding of the program, but also causes chaotic terminology to spread. In the analyzed program the diagram can be generated by as many as four methods of generating a thematic map which makes it the program's most developed method of cartographic presentation. However, it is impossible to generate a diagram map illustrating values of a phenomenon with the use of a graph. Considering all sorts of diagrams (one- and multi--parameter, flat and three-dimentional block), it appears that only a small part of those can be generated in MapInfo Professional. There are options to elaborate one parameter flat geometric diagrams in the shape of a circle, half circle, column, square, triangle and polygon. While editing, the user has the option of changing their filling and contour. The lack of the option to adapt the size of diagrams to the size of base units is the program's very serious disadvantage, as automation and acceleration of map elaboration process is a feature quite expected of GIS software. Including an adequate algorithm seems indispensible. It is possible to generate a line diagram in the same form as a related to point or an area diagram in the program. In such a case the diagram is put in the "middle" of the line to which it refers (fig. 8). The solution is completely inconsistent with cartographic methodology and cannot be classified within cartographic methods of presentation. According to the information in MapInfo user guide (2008) the so-called division method is the equivalent of the second method of presentation mentioned in this article- the choropleth map. It appears, however, that with this "method" it is possible to present all quantitative data. There is no warning that the choropleth map can only be applied for presenting relative data. Moreover, there is no option to generate a continuous or two-variable choropleth map, or a correct legend. Attempts to generate choropleth maps and diagrams in MapInfo have proved that the suggested solutions are not entirely correct and satisfactory. Although the program contains many useful functions, they are underdeveloped and occasionally can even mislead the user.
    Źródło:
    Polski Przegląd Kartograficzny; 2013, T. 45, nr 3, 3; 201-217
    0324-8321
    Pojawia się w:
    Polski Przegląd Kartograficzny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies