Wyniki wyszukiwania - BazTech

1

Kompozycja legendy mapy a sposoby identyfikacji symboli

Gołębiowska I.

Polski Przegląd Kartograficzny

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2012

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T. 44, nr 1

5-17

PL

W artykule omówiono wyniki badania empirycznego, w którym analizowano relacje między legendami o różnej kompozycji a sposobem integracji informacji z mapy i legendy (sposobem rozpoznania znaczenia symboli) w trakcie użytkowania mapy. Badano również zakres treści odczytywanej z legendy oraz zmianę procedur integracji informacji z mapy i legendy wraz z poznawaniem treści mapy.

EN

The legend is critical to proper reading and interpretation thematic map. A legend is a symbol dictionary that explains the signs used in a map, but it also serves several other functions. Furthermore, it is important to understand how information is acquired from a legend and a map. Pickle et al. (1995), when analyzing statistical maps, indicated two strategies that a map user can apply to reading a legend: the map-to-legend strategy (an orientation to the map, then matching the interesting objects to the legend) or the legend-to-map strategy (study the legend, and then locating the read objects on the map). The goal of the reported here analysis is to identify some of the variables that affect legend reading process, namely the strategies of integration information from a legend and a map. The research applies legends of thematic maps with nominal and ordinal information. The information from map and legend is integrated in various ways, e.g. in two above mentioned strategies, and intuitive (relying on the own knowledge or just guessing the meaning of sign). To achieve above mentioned goals the experiment was designed. It aims to simulate the execution of three problem-solving tasks based on the information derived from maps with differently designed legends. Hence the independent variable is the legend design: 'list legend', 'grouping legend' and 'natural legend' with the most clear characteristics of the map language (fig. 6). The think-aloud method was applied: subjects were asked to voice their thoughts during the tasks executions. Based on the coded think-aloud protocols the triangular graphs were developed (fig. 9). The graphs show percentage of recognized symbols using each strategy. Users of natural legend applied legend-to-map strategy the most often, and hardly ever used map-to-legend strategy. There were even some subjects who used intuitive strategy for most recognized signs. The natural legend resulted in the most frequent usage of intuitive strategy among the three tested legend designs. Whereas the map-to-legend was applied the most often by users of list legend. The first task resulted in the use of legend based strategy for most recognized symbols. Solving the second task subjects applied map-to-legend strategy more frequently than in the first task, although many subjects applied each strategy in similar frequency. In the last task most subjects used only legend-to-map strategy. The strategy applied depends on the sequence of task and the kind of legend design used. The learning effect is important, as well as the different requirements of each solved task. Reading the map with unknown content, subjects usually started with studying the legend (legend-to-map strategy). Next question resulted in lower percentage of symbols recognized using this strategy than in the first task, and more often applying intuitive strategy - hence users referred to the information they had perceived in the previous tasks. The results indicated that during the contact with the map of unknown content users most often applied recommended legend-to-map strategy. After reviewing the contents of maps and legends (during the second task), users often resigned using legend, basing on the information perceived during the first task. Furthermore, it was noticed that users perceived only limited scope of information presented on map. The number of identified signs was positively correlated with frequency of legend-to-map strategy appliance.

2

Kartodiagram w wybranych programach komputerowych

Bajer A., Korycka-Skorupa J.

Polski Przegląd Kartograficzny

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2008

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T. 40, nr 3

247-266

PL

W artykule przedstawiono różne możliwości opracowania kartodiagramów w wybranych czterech programach komputerowych typu GIS. Omówiono mapy opracowane w sposób automatyczny, według ustawień domyślnych oraz takie, których opracowanie wspomagane jest wiedzą kartograficzną wykonawcy. Prześledzono poszczególne etapy opracowania kartodiagramu oraz możliwości programów GIS w tym zakresie. Otrzymane mapy oraz ich legendy oceniono pod względem respektowania podstawowych zasad metodyki kartograficznej.

EN

Two types of computer software can be used for map preparation: a graphic program, eg. Corel Draw orAdobe lllustrator, or Geographic Information System (GIS). The article presents various options of diagram map preparation in four selected GIS-type computer pro-grams: Maplnfo Professional 7.8, ArcMap 9.1 (from ArcGIS 9.1 package), MapViewer 7, Microsoft Map-Point 2006. The analysis involved using the programs to present statistical data in the form of a diagram map, and evaluation of the resulting map. Subsequent stages of diagram map preparation were analyzed as were the capabilities of particular programs in that respect (fig.1). The elements which are vital for map's correctness were analyzed in the first place. After defining the basie assumptions of the diagram map method and identifying errors possible at each stage it was possible to evaluate the accuracy of solutions applied in particular programs. Maps prepared using the default settings were analyzed as well as those, the preparation of which asked for some cartographic skill of the user. The analysis showed that the programs provided a similar level of options in respect to diagram map preparation. None of them is faultless, but they all have their strengths. Only MapPoint falls behind; it is significantly poorer and provides less options. It can be stated that Maplnfo, ArcMap and MapViewer are all similarly useful for diagram map preparation, although they differ in their functionalities at different stages of editing. Preparation of a proper diagram map asks for relevant cartographic skill. For a skilled user GIS programs can provide a tool for quick and simple preparation of acceptable and often visually attractive diagram maps. Programs are easy to use, so even an inexperienced user will be able to prepare a map with them. Unfortunately in such cases quality may suffer, because the programs contain some shorteomings and cartographically questionable solutions. There are also many 'traps' which await an inexperienced editor. Regretfully the programs do not include any limits as to the number of elements of the presented structure. Cartographic conventions and code of practice, which result from many years of experience should be considered during the preparation of GIS-type cartographic software. Such programs would enable any, even inexperienced, user to visualize data in a way both comprehensible and correct.

3

Konstrukcja skal wartości w legendach map

Czerny A.

Polski Przegląd Kartograficzny

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2003

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T. 35, nr 2

87-99

PL

Autor analizuje graficzne skale wartości stosowane w legendach map: kartogramów, kartodiagramów i map izoliniowych; stara się wyjaśnić różne sposoby konstrukcji legend ilościowych przedstawień kartograficznych i ocenić ich poprawność.

EN

Twenty years ago Polish Cartographic Review published articles on the composition of legends on choropleth and isopleth maps as well as graduated symbol maps (J. Pasławski 1982, I. Frączek 1983). They proposed a set of optimal legends, the number of which can limit the freedom of designing maps, e.g. it does not recommend horizontal arrangement of color scales in the legends of choropleth and isopleth maps. At the same time, contrary methods are widely applied in maps, atlases and cartography handbooks. The article analyzes elements of the composition of legends of quantitive cartographic presentations: - continuity of the graphic value scale (bar scale or segments) - orientation (positively and negatively oriented scales) - value description (limit values or classes) Some of the solutions applied in maps can not be justified. Fragmentation of color thematic scales, for example, is a mistake (fig. 1). Negatively oriented scales are also wrong (the positive part of scale at the botton or on the right, as in fig. 10B); various orientations should not appear in the same atlas or even legend (fig. 13). Some methods of scale composition can be accepted as exceptions, e.g. positive vertical scale following the direction of reading of a text column (fig. 8); model diagrams arranged decreasingly because of the composition of the map (fig. 12). According to the author these also exist correct graphic solutions, used from the point of view of map composition, although have not been recommended in the above articles. They include: 1. Horizontal, positively oriented color scale (with the maximum value on the right). It agrees with our reading scheme and the orientation of the X axis on the surface (fig. 8,9). 2. Legend of a continuous graduated symbol map in form of overlapping diagrams. Continuous graduated symbol maps belong to the type of so called "seeing maps" (carte a voir), with present the distribution of phenome na on general level; particular values can be read, but their role is secondary. Therefore a cartographer should be free to decide, if there is a need for a legend in a form of a graph, which makes it possible to read particular values (fig. 17), or if a minimal legend composed of overlapping diagrams would be sufficient (fog. 15A). 3. Scale of a choropleth map in a form of a bar diagram. A legend of a choropleth map can have a form of a code chart or a diagram. A code chart is composed of a series of color segments with numeral or verbal information assigned to them (in the case of nominal value scales). A bar diagram in the form of a rectangle symbolizes a set of data (values of a phenomenon) and its subdivision into classes; it can be applied in legends of both isarythmic and choropleth maps. In the case of a choropleth map class ranges should be described; in the case of an isarythmic map - class limits. Fig. 20 presents various graphic color scales of a choropleth map in a form of a bar diagram. J. Pasławski recommends scale E; it is a construction intermediate between a code chart and a diagram (segments show class ranges).