Classification and Application of Cartographic Animation - UO ...
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Classification and Application of Cartographic Animation Amy Lobben Central Michigan University The development of a definition and classification scheme for cartographic animation is now warranted, since focus on the visualization method increased during the 1990s. This article offers a comprehensive definition of animation, distinguishing between animation, slide shows, multimedia, and hypermedia. In addition, a classification system identifies and offers specific characteristics for four different methods or types of cartographic animation: time, areal, thematic, and process. Key Words: animation, cartography, research tool, visualization. Introduction media and hypermedia, as is the case with some areal animations, or ‘‘fly-bys,’’ discussed later. ith use of cartographic animation now Often the distinction between multimedia and W widespread, different techniques and types of animation are being developed. The hypermedia is blurred and while these two are often used together in a presentation, they purpose of this article is to identify the different are different methods, serving different pur- categories of animation and to briefly discuss poses (for further discussion of the distinction their potential usefulness to cartography, as between these methods, see Krygier et al. 1997). well as to other areas of geography. The focus here is specifically animation, Background which will be defined now for clarification purposes. An animation may be, in simplest Animation is now beginning to become widely terms, any moving presentation—be it through used, not only by cartographers, but also by film, video, or computer—that shows change other geographers. Its popularity as a data- over time, space, and/or attribute. Animations, display method has grown since Campbell and which often run multiple frames per second, Egbert in 1990 spoke of the lack of incorpora- differ from computer ‘‘slide shows,’’ which tion of animation into geography. In the thirty are simply a series of graphics presented con- years before 1990, the field of geography currently, often employing transitions, such as was only speckled with papers, including those fades or wipes, from frame to frame. The by Thrower (1959), who thought that popu- difference between the two is a matter of time- lar animation had nearly arrived, and Tobler scale. In animations, the viewer cannot detect (1970), who first published the results of a the point at which one graphic in the series computer animation in cartography (Campbell replaces the previous, while in slide shows, the and Egbert 1990). Fortunately, since 1990, viewer can identify the point at which graphics geography has witnessed the beginning of what change. In other words, each individual slide- could finally be the blossoming of animation, as show graphic frame remains on the screen more projects, papers, theses, and dissertations longer than does each animation graphic frame. continue to be devoted to the subject. An animation often consists of thousands Terminology has varied through this evolu- of slightly different individual frames and may tion of animation. The terms ‘‘cartographic ani- include sound (narration, music, or sound mation,’’ ‘‘map animation,’’ ‘‘four-dimensional effects), resulting in a multimedia animation. cartography,’’ ‘‘dynamic mapping,’’ and ‘‘spatio- Multimedia animation may be incorporated temporal display’’ may all be used to describe into a hypermedia presentation, which allows ‘‘cartographic displays having a succession of users to explore data through the use of on- maps pertaining to the same area whose content screen buttons (Krygier et al. 1997). In some changes in relation to the independent vari- cases, animation may be simultaneously multi- able—time’’ (Weber and Buttenfield 1993, 141). The Professional Geographer, 55(3) 2003, pages 318–328 r Copyright 2003 by Association of American Geographers. Initial submission, July 2000; revised submission, November 2002; final acceptance, December 2002. Published by Blackwell Publishing, 350 Main Street, Malden, MA 02148, and 9600 Garsington Road, Oxford OX4 2DQ, U.K.
Classification and Application of Cartographic Animation 319 After years of experimenting with the uses of are distinct, and some are subtle. Usually, the animation, this method seems to have proven literature fails to identify an animation as being valuable in geographic education, specifically in of a particular type or to place it into a distinct the development of educational supplements, category, probably because a comprehensive including student exercises and instructor aids. categorization system for animation does not Educational publishers offer CDs containing yet exist. This article offers a categorization geographic applications—which include multi- scheme for animation and highlights ways in media, hypermedia, and animation—as supple- which animation may be used most effectively ments to textbooks or as independent products. for representing dynamic data. Fortunately, the popular application of ani- The categorization scheme is based on three mation, multimedia, and hypermedia in ge- criteria: time, variable, and space. The dynamic ographic education is resulting in the continued or static quality of each criterion provides the development of design methods as well as of classification basis. Time is considered to be technology. As a result, several categories and dynamic if the dataset includes temporally uses of animation as data display methods have varying observations—in other words, if the been developed and are identified below. data include observations that change over time. Time is considered static if the dataset is temporally unchanging—in other words, if Categories of Animation observations are made at a single moment or at Both the earlier years of design and method least recorded as a single moment. Variables experimentation and the current widespread are considered dynamic if their quality or development of educational materials have quantity changes; as discussed further below, produced a plethora of animations and accom- these changes may or may not take place over panying literature. The highest-order classifi- time. Conversely, variables may be labeled cation may be based on interactivity, which static if they and the symbols representing separates animations into two categories, pres- them do not change. The space may also be entation and interactive. Presentation anima- identified as either static or dynamic, depend- tions allow the viewer little or no control over ing on whether the base map itself is held the progress of the product; the animation is constant or allowed to change through either only viewed. If it is seen through a computer, viewer or animation control. the viewer may be able to control the speed and The discussion below will further elaborate may be able to pause the movement. One on the characteristics of time, variable, and advantage of this method is that the graphics space as well as their static or dynamic nature. may be viewed in other ways, such as via video This discussion will allow a reader to identify or film projector. Interactive animations—also different types of cartographic animation that known as hypermedia animations, as men- may be created based on specific characteristics tioned above—offer the viewer considerably of their spatial data. The reader may apply a more control over the course of the animation. decision-tree diagram, such as that in Figure 1, The viewer may direct the animation in several to assist them in selecting an appropriate ways—panning, zooming, and rotating—as animation method. To use the decision tree, well as engaging in discourse with the computer the reader must first identify the dynamic or through inputting data or responding to ques- static nature of time, variable, and space tions. The following defined categories do not characteristics in the dataset they wish to distinguish based on this factor; they rely on visualize. The classification scheme is designed different bases for classification. As a result, to allow creators and users of animation to animations falling into one or more of these choose a specific type of animation that best categories may be either presentation or inter- visualizes their unique data. Included in the active, depending on how the author intends discussion of each category is a three-axis the final product to be used. graphic, which provides a graphic representa- A review of the literature reveals several tion of the combination of criteria comprising categories of animation, identified here as time- the specific category. The three axes in each series, areal, thematic, and process animation. diagram represent space, time, and variable. Some differences between these categories The shading or absence thereof indicates the
320 Volume 55, Number 3, August 2003 Figure 1 Decision-tree diagram. static or dynamic nature of each variable. The Dynamic Time The most important char- axes do not represent numerical values of acteristic of a time-series animation may be the the criteria; instead, they show the potential depiction of change over time. In this categor- for change of the criteria. For this reason, the ization, a variable’s changing location over diagrams are not drawn as cubes, which may time is highlighted; the variable appears or dis- give the visual impression of finite axes. Rather, appears at varying locations through time. the open-ended axes of the diagrams included For example, the geographic extent of a bark- here indicate the change potential, which is beetle infestation may be visualized by creating theoretically infinite. dozens of different maps (using the same base map), each representing infestation locations over twenty years. In this example, data may be Time-Series Animation represented per day, week, month, or year. For Animating time, ‘‘where the map is held still and the action played out upon it’’ (Dorling 1992, 218), has been one of the most popular forms of animation. Change over time normally may be shown in a time-series animation, in which time is dynamic (it changes), the subject or variable remains static (no change in the variable quality), and the location (base map) is static. Figure 2 provides a graphic cube representation of these criteria. Characteristics of Time-Series Animation Time-series animations portray data that main- tain three distinct characteristics: dynamic time, static variable, and static space. These characteristics are presented in Figure 2 and discussed more fully below. Figure 2 Time-series animation criteria axes.
Classification and Application of Cartographic Animation 321 time-series animations, the time scale is not the location of a given phenomenon may change restricted; change may be measured and visual- through time, usually the whole map area is ized over seconds or over centuries. held constant: the base map itself does not change. Therefore, time-series animations are Static Variable For the purposes of the considered to maintain fixed space. However, classification scheme presented in this article, two time-series animations may be included a variable may be considered static if the quality together in a single presentation. For example, of the variable, represented by the variable’s if the bark-beetle data include precise data symbol on a map, does not change. For exam- for a small geographic area, then a large-scale ple, consider the bark-beetle infestation. If the animated map could be created, as described data include locations for specific trees that above. But, in this example, a single, unchang- were attacked over the course of many years, ing base map on which the bark-beetle sym- the cartographer could symbolize each tree bols appear and/or disappear is maintained. infestation with a single symbol. The final Assume that statewide data that show which animation could show symbols appearing as counties are inundated by the bark beetle are trees are infested, or tree symbols could be also included. The state-level data could be shown disappearing from the map as each tree represented by coloring each county as it dies from the beetle attack. Similar to a dot- initially becomes infested. The state map— density map, the static quality of this variable a relatively small-scale map—which represents is represented with a constant (unchanging) area data (county) with area symbols (colored symbol. Although attribute symbol quality does enumeration units) could follow the first large- not change, the animation may portray data scale map, which visualizes individual, tree- pattern or density changes. In other words, level data (point symbols representing point density patterns may be visually perceived, even data). But, again, this presentation would though the attribute’s symbol remains static. include two separate time-series animations In time-series animations, the existence of presented consecutively. a variable is documented through discrete change at varying locations, rather than differ- Design Considerations and Applications of ences in quantity, which could be represented by Time-Series Animation changing symbols. If a researcher wishes to Because a time-series animation visualizes a illustrate quantity differences, this goal could given phenomenon changing locations through be accomplished through the use of different time—a characteristic intrinsic to the categor- symbols representing different quantities of an ization of time series—a main focus of the attribute at varying locations. These quantity presentation is time. As a result, time changes differences can be portrayed by creating a thema- can ideally be represented as occurring at a tic animation (discussed below), rather than constant rate, as much as the original data through a time-series animation. But, while time- will allow. For example, in a one-hundred-year series animation data are static, they may be meas- timetable, a map (animation frame) may be ured and represented as point, line, or area data. created to represent change for each successive Finally, while a symbol may be used to year, instead of several frames showing change represent an attribute and while that symbol sporadically (at two-year, then one-year, and remains static, it does not necessarily have to then three-year intervals). However, maps are be qualitative (nominal). A single symbol may created for a specific purpose, and therefore the be used to represent a quantitative amount of intended communication goal will influence a variable (say, one dot representing five trees the visualization of the data. infested by the bark beetle). However, the value Time-series animations portray the chrono- of the symbol in a time-series animation will logical and spatial change of phenomena and not change, as this would represent dynamic thus are intrinsically geographic, because they attribute symbolization. provide a method for illustrating dynamic geographic data (chronologically changing Static Space Although a variable’s appear- spatial data). This method has utility in several ance or disappearance in geographic areas is areas of geography; a few specific examples are depicted, and therefore space as it relates to presented here. Medical geographers can use
322 Volume 55, Number 3, August 2003 time-series animation to display the appearance of a disease in specific areas through time (point or area data). Population geographers may employ this method to visualize the migra- tion sources of U.S. immigrants through time (usually area data, such as countries or pro- vinces). Military geographers may use this method to illustrate changing political borders resulting from military campaigns (line data). Finally, as in the example discussed above, biogeographers can visualize disease, infesta- tion, and animal-migration data. Areal Animation Figure 3 Areal animation criteria axes. Areal animations ‘‘emphasize the existence of a phenomenon at a particular location’’ (DiBiase et al. 1992, 206). Unlike time-series animation, Characteristics of Areal Animation where the animation is shown from a constant Three characteristics may be observed in viewpoint (static base map), the viewpoint in an areal animations: static time, static variable, areal animation is dynamic (the base map is not and dynamic space. Figure 3 provides a graphic static), while time remains fixed. illustration of these characteristics, which are DiBiase and colleagues (1992) identify this discussed more fully below. location change as visualizing change through space. Currently, one of the most popular ways Static Time An areal animation may be to achieve an areal animation is by using a ‘‘fly- considered to be a ‘‘snapshot’’ in time. Time is by.’’ DiBiase and colleagues (1997, 207) define a static. Therefore, areal animations as classified ‘‘fly-by’’ as ‘‘a sequence of views of a static here would not show change over time. Instead, surface or volume in which the viewpoint of the if a geographer wishes to visualize terrain or observer changes gradually.’’ Fly-bys can be other areal changes over time (continental either presentation or interactive animations. drift or creation of mountains, for example), Using a presentation fly-by animation, the they may choose to visualize the data through viewer may observe a rotating earth, for a process animation, discussed below, which example, where the only control the viewer may be used to visualize dynamic time and has over the course of the animation is in dynamic space. starting or stopping the rotation or through adjusting the speed at which the rotation is Static Variable While an areal animation viewed. Using an interactive fly-by animation, can—and most likely will—include many varia- such as one that shows terrain, the viewer can bles, these variables are fixed (unchanging). control the geographic position from which the Because areal animations do not show change animation is viewed—they can view a mountain through time, specific observations—and range, for example, from a northwest position therefore each unique symbol representing at a 100-foot altitude and then move to a these observations—remain static on the base southeast position at a 1,000-foot altitude. map. As a result, variables are shown with Another common example of an areal anima- neither discrete nor continuous change. How- tion is the increasingly common interactive ever, several unchanging symbols may be Internet street map. Many of these maps allow included in the animation. For example, a fly- the viewer to input a general geographic area, by of a mountain range could include symbols such as a city or state, but some allow increased representing several variables, including ele- specificity by permitting the input of a specific vation, biological data, and cultural pheno- address. Once the map is displayed, the viewer mena (roads, buildings, and so on). Also, while can change scale, pan, and sometimes rotate. the variables are static, areal animations may
Classification and Application of Cartographic Animation 323 represent qualitative or quantitative data. Be- spatially explore the geographic data and cause the objective of many landscape fly-bys identify patterns, similarities, or differences is to visualize terrain differences, the visual dif- between areas. For example, imagine a map of ference between the top of the mountains and the United States constructed so that three- the bottom of the valleys, for example, illustrates dimensional prisms represent the populations elevation differences, which are quantitative of each state for a given year, with higher prisms data. One can also imagine a map in which symbolizing higher values. The population states are classified qualitatively according to would appear as clusters of skyscrapers in the predominant crop grown (e.g., corn, wheat, the Northeast and on the West Coast, while oranges), on which a viewer can pan or change the comparatively sparsely populated middle of to larger scale to see the same data differen- the country would contain only an occasional tiated by county. Both examples animate data midrise. The animation viewer would be able to that are distinguished as qualitative or quan- ‘‘fly’’ through the United States, gaining a titative, but both may be classified as areal dramatic and unique view of U.S. population animations. distribution. Dynamic Space The most important char- Thematic Animation acteristic of an areal animation is the illus- tration of spatial variation. While space (base In thematic animations, location is held con- map) remains fixed in a time-series animation, stant (static space) and time and variables may constant spatial variation is what distinguishes change their values or attributes (dynamic time areal from other types of animation. Specifi- and variable). The emphasis in a thematic cally, an areal animation may illustrate chan- animation is attribute, which is highlighted at ging spatial viewpoints. Panning, zooming, a particular location and, over time, differen- rotating, and angle perspective are some of tiated by value or nominal classes. the techniques that may be used to create a Several methods of thematic mapping can be dynamic space. A viewer may adjust map scale applied to visualize spatial data, creating static through zooming in and out, or they may adjust thematic maps. It follows that some of these perspective by entering a specific viewing angle methods can also be applied to create animated (above ground level, for example). In addi- thematic maps. For example, an animation tion, north-east-south-west viewpoints may be that uses graduated color symbols (choropleth) changed through rotation or panning through or graduated point symbols to illustrate the the base map. magnitude in difference through time at dif- ferent locations would be classified as a the- Applications of Areal Animation matic animation. However, as mentioned in Currently, most areal animations display land- the time-series discussion, an animation that scapes or landforms. Therefore, the seemingly uses dots (similar to a static dot-density map) obvious beneficiaries may be geomorpholo- or unchanging solid-area (choropleth) sym- gists. However, other geographers will find this bols to show the appearance and/or disappear- method useful for displaying spatial relation- ance of an attribute at different locations ships or patterns between different locations. through time would be better classified as While maintaining fixed time, terrain fly-bys a time-series animation. Therefore, use of a usually only show landscape changes, but it is traditional, static thematic method in an anima- the inclusion of the other variables that makes tion does not automatically classify it as a this method appealing to other geographers as thematic animation. well. For example, one may look at socio- Graduated symbols or choropleth mapping economic trends among the states: as location methods may be used, but animations employ- varies, differences in a variable such as popula- ing other thematic methods may belong in tion may be observed. These changes may be other categories. For example, an animation achieved by using color, shading, or prisms based on a series of dot-density maps would to represent numeric values or nominal catego- perhaps be better classified as a time-series ries as they differ spatially at a single given animation, since the variable’s attributes are time. Areal animations allow the viewer to maintained (one dot size and color), time varies,
324 Volume 55, Number 3, August 2003 location (base map) remains static, and the dots an areal animation, time is static. In the case of a appear and disappear at different locations over thematic animation, time can be either static time. Choropleth maps may be used in either or dynamic, depending on the specific nature time-series or thematic animations, the main of the animation. Borrowing from Peterson’s difference being that in a time-series animation, (1993) classification, animations can be used the symbols used to represent a variable do not to compare and contrast different methods change: they are presented as one class of data of classification, as well as different levels of (recall, however, that the class may represent generalization within a single classification. either qualitative or quantitative data). A thema- Datasets can be classified using several different tic animation, though, will include several systematic and acceptable methods. However, categories of data, which may also be qualitative in most cases, the resulting classification will or quantitative. These characteristics are dis- differ by class number, individual class ranges, cussed in more detail later. and class members. Moreover, not only do Peterson (1993) identifies four ways in which different classification methods result in differ- animation may be used, all of which may be ent maps, but different calculations using the classified as thematic animations. Classification same classification methods can also result in animation is used to show and compare the different maps. For example, when using equal different methods of classification. General- intervals, one can choose different intervals for ization animation shows the different levels of different classifications. Also, when employ- data generalization as the number of classes ing the quantile method, quartiles or quintiles change for the same data on a given map. would most likely result in different classes and Geographic trend can be observed when viewing would then map differently. Different breaks a shifting of values shown in a choropleth can be chosen if using the natural-breaks animation depicting changing land values, for method, and user preferences abound when example. Finally, animation is used in comparing using the arbitrary method. Therefore, one distributions within a series of maps. could choose a single dataset (fixed in time and space) and complete a myriad of classifications Characteristics of Thematic Animation that might all be visualized through a thematic The matic animations share the following three animation. characteristics: static or dynamic time, dynamic variable, and static space. Figure 4 illustrates Dynamic Variables One of the most sig- the time, variable, and space characteristics that nificant characteristics of thematic animations define an animation as thematic. is the dynamic variable. The symbol assigned to a specific value or class and represented at a Static or Dynamic Time Recall that in a given location on the base map may change its time-series animation, time is dynamic, and in quality through time. Consider the population example discussed above. A single state could change hue values several times as the anima- tion progresses due to population fluctuations over time. Thus, the symbol represented at a specific location will physically change. The change may be observed as discrete or con- tinuous change—for example, a discrete jump in an enumeration unit on a choropleth map from light blue to dark blue, or the continuous growth of a graduated symbol. Contrast this characteristic with the static variable utilized in a time-series animation. In that case, a symbol may discretely appear or disappear in given area (presumably as the data in that given location changes), but the quality of the symbol itself does not change. Although static thematic maps Figure 4 Thematic animation criteria axes. may represent quantitative or qualitative data,
Classification and Application of Cartographic Animation 325 thematic animations may represent quantitative dynamic geographic data, it has the unique ability data. The dynamic symbols in a thematic to dramatize and highlight geographic trends and animation represent differences in magnitude demonstrate the effects of spatial autocorrelation, at given locations (point, line, or area). Quali- a subject of study that is uniquely geographic. A tative data may be better represented through a similar animation could highlight the changing time-series animation. influence of a single component of economic base, such as the service industry, in several cities Static Space Like time-series animations, over time. In this example, a graduated symbol thematic animations maintain a fixed base map; could be used to represent the changing percen- zooming and panning around the base map are tage of service as part of the economy through a not characteristics of this method. Therefore, given period of time. while data may vary from location to location, the overall base map itself is static. However, Process Animation as can be accomplished when employing a time-series animation, two thematic anima- Process animation takes a unique perspective. tions with two different base maps can be Although some animations—even some of shown consecutively, or even concurrently. For the examples mentioned above—may not differ example, a dataset that maintains population dramatically from a series of static maps, pro- data per state for each year between 1,600 and cess animation offers two important attributes 1,999 could be animated, resulting in thematic that static representations do not: motion and animations. An animated choropleth map could trajectory. Motion is defined by Webster’s Desk be created by systematically classifying the data Dictionary as ‘‘the action or process of moving for each year and assigning different values of a or changing place or position,’’ while trajectory hue to each class. Because of the settlement has been defined as ‘‘the direction of travel of a patterns of the United States, two animations moving object’’ (Reiber 1991, 318). Therefore, using two different base maps may be appro- by creating an animation that emphasizes both priate. A base map of the eastern seaboard could motion and trajectory, the viewer will be able to be used for about the first 200 years (resulting in visualize a phenomenon that cannot be visua- a 200-frame animation, for example), followed lized in static maps, ‘‘the continuous evolution by another animation in which the base map of [a] process’’ (Epstein 1990, 54). includes the entire 50 states (300 additional Motion and trajectory in animation are used frames, with one frame representing each year very effectively in fields in which the viewer of data). The resulting animations would most must understand a specific continuous action likely show states changing hue values as their or be able to visualize objects as they appear in individual classification changes. Again, though, real life. For instance, in engineering, ‘‘where the resulting product would contain two dif- . . . rotation or portrayal of three-dimensional ferent thematic animations shown consecu- objects are involved and required, the use of tively—although, depending on the dataset animated graphics . . . has been found to be and mapping purpose, two animations could appropriate and is recommended’’ (Asoodeh also be shown concurrently, essentially result- and Clark 1993, 33). For example, an anima- ing in a split-screen. tion illustrating an offshore oil spill would be considered a process animation if the animation Applications of Thematic Animation showed the continuous flow of spill, the speed, Thematic animation would be useful for car- and the shape changes. This animation would tographers and other geographers who wish to show the constant movement and the process represent temporal and variable changes in a that the spill experiences from the initial point particular location, such as the changing pre- of spillage to when the oil eventually settles or dominant economic bases of U.S. cities. In this is removed. A process animation such as the example, the location is constant (one city); time above example of the oil spill illustrates at least varies (chronological change); and the varia- two dynamic characteristics—time (from mo- ble changes (varying economic bases such as ment of spillage through time to the settlement agriculture, manufacturing, or service). Because or cleanup) and attribute (the oil is the variable this method provides a platform for displaying and is represented by a symbol that constantly
326 Volume 55, Number 3, August 2003 changes size, shape, motion, and trajectory) of a spatial database (population migration over —while space may be dynamic or static in time, for example) in which time data are this case. recorded for phenomena. Or time may be part of a developed theory that is illustrated through Characteristics of Process Animation a process animation. For example, while con- The previous classifications include a combina- tinental drift is a generally accepted theory, tion of static and dynamic characteristics. In specific data were not recorded at given times as fact, in identifying the characteristics of the the process occurred; thus, a compiled dataset time-series, areal, and thematic classifications, that includes dynamic time is not represented. the dynamic nature of one of the characteri- As a result, process animation would not stics defines the classification to some extent. necessarily be employed to visualize the dataset; For example, with time-series animation, the rather, it would be employed to visualize a significant consideration is that time is dy- theoretical process (in which time is a factor in namic, while space and attribute are static. the theory development). Space is dynamic (while time and attribute are static) with the areal animation. Attribute is Dynamic Variable As discussed above, a dynamic, space is static, and time is either variable is dynamic when the symbol designed dynamic or static (depending on the specific to represent an attribute changes its quality dataset or purpose) in a thematic animation. through time. With process animations, the With process animation, all three criteria may variable exhibits continuous (though not neces- be dynamic, with none of the three more sarily constant) change. Consider the example of significant than others in defining this category the oil spill. The symbol representing the of animation. Figure 5 illustrates the dynamic process of the oil spill (the oil moving through nature of all three characteristics. and over the water) changes as the motion and trajectory of the spreading oil changes. Or Dynamic Time A process animation visua- imagine spilling a glass of water onto a blue and lizes processes or concepts occurring and/or white tile floor. The water may flow over the changing over time. As a result, according to the tiles as a single puddle or may separate into classification structure identified in this article, different puddles, depending on the obstacles dynamic time is a characteristic of process encountered over the course of movement. The animation. The time may be measured as part number of variables should not necessarily factor into the classification. A single (albeit changing and dynamic) variable may be included in a process animation, or the symbols of several different variables (again dynamic) may repre- sent different data. In addition, the variable data may be qualitative or quantitative. However, in the case of a process animation, the variable does not change to represent differences in magni- tude at a given location (a growing graduated symbol or changing value of a hue), as would be seen in a thematic animation. Instead, the dynamic nature of the variable shows change, spread, or trajectory of a process. Dynamic or Static Space In a process ani- mation, space may be static or dynamic. The base map may be fixed while the action of the process is represented on it. Alternatively, the viewer may be granted control over zoom- ing or panning around the map as the process plays out on the base map. The cartographer Figure 5 Process animation criteria axes. may also create the animation as a presentation
Classification and Application of Cartographic Animation 327 animation and control the panning, providing base-map-shifting as the process changes course or the action intensifies from location to location. Construction and Application of Process Animation This type of animation, which emphasizes movement, is very different than previously discussed applications. Relative to the other three animation methods, process animations, which visualize motion and trajectory, may be considerably more complicated to construct, even given improving and more user-friendly Figure 6 Summary chart. animation software. Constructing this type of animation often involves combining char- acteristics of area, variable, and time. Since An effective animation is a useful animation. movement is an intrinsic factor in process This data display offers geographers an alter- animation, the base map may be constantly native to traditional display and research changing, as in an areal animation. In addition, methods. Although animation is presently used this areal change is compounded by chro- by many geographers as a way to enhance still nological change—which is the key factor in images, it can be used for so much more than time-series animation—to produce areal change merely enhancing these images. ‘‘The appeal- through time. ing feature of [animation] . . . is not only the Geographers can use process animation to capability of showing surfaces from different help explain continental drift, stream meander- viewing points but also the ability to show ing, or any other spatial phenomena in which change through time in a way that is more depicting movement over time is an intrinsic powerful than the creation of a series of static part of understanding the phenomena. Process maps’’ (Moellering 1980, 67). animations may be considered to represent Animation may continue to gain popularity reality more closely or to be more like a film as a display tool for geographic data, which will when viewed. Using process animation could further the development of improved technol- represent an accurate interpretation of the ogy and design techniques. Just as geographers behavior of the attribute; the viewer might be realized the research potential of geographic able to visualize the entire spread of a phenom- information systems and remote sensing, the enon or a theory or process. desire to keep current technical research as part of our science will provide the impetus for geographers to continue to explore techno- Conclusion logical research methods. This movement may The classification system discussed above offers allow researchers to realize the possibilities of a possible method for determining an appro- animation and take a leading role of incorpo- priate animation that may be used to visualize a rating it as a bona fide scientific research given dataset or theory. To apply the classi- method. For example, a geomorphologist may fication system and to work through the wish to test their new theory of landform decision-tree diagram, a geographer should, development. Since many landforms develop ideally, possess a clear and complete under- over the course of thousands or millions of standing of a dataset’s characteristics. Before years, it may not be possible to view the entire implementing the decision-tree diagram, the theory at work through field observation. geographer should consider the dynamic and/ Instead, an animation illustrating the theory or static nature of time, variable, and space in may allow the geomorphologist to ascertain the their dataset. The summary chart in Figure 6 theory’s strengths and weaknesses, leading to provides a succinct view of the data character- modification and improvement in the geo- istics of each method. morphic theory. While it may still not be
328 Volume 55, Number 3, August 2003 possible to observe the theory in the field, Campbell, Craig, and Stephen Egbert. 1990. Ani- the animation may allow the scientist to ‘‘see’’ a mated cartography: Thirty years of scratching the simulation of the theory in action and deter- surface. Cartographica 27 (2): 24–46. mine which specific parts of the theory may or DiBiase, David, Alan MacEachren, John Krygier, and may not actually work. Catherine Reeves. 1992. Animation and the role of This method may also be used to search for map design in scientific visualization. Cartography theories, rather than test existing theories. For and Geographical Information Systems 19 (4): 201–14. example, an urban geographer studying the Dorling, Daniel. 1992. Stretching space and splicing intraurban migration of various socioeconomic time: From cartographic animation to interactive groups may create a time-series or a thematic visualization. Cartography and Geographical Infor- animation for a given time frame. The result- mation Systems 19 (4): 215–27. ing animation might lead the geographer Epstein, Melvin. 1990. Animation in the classroom: A to discover socioeconomic migration-pattern low-cost, educationally effective approach. T.H.E. variations that were previously undetectable Journal June:54–58. through viewing static maps or data tables. Harrower, Mark. 2001. Visualizing change: Using Cartographers can use animation as a tool for cartographic animation to explore remotely sensed searching out the most effective map design data. Cartographic Perspectives 39:30–42. before production (Lavin, Rossum, and Slade Krygier, J. B., Catherine Reeves, David DiBiase, and 1998). Or animation can provide a visual first Jason Cupp. 1997. Design, implementation, and look at remote-sensing imagery, possibly allow- evaluation of multimedia resources for geography ing a scientist to see patterns or change that and earth science education. Journal of Geography in may be difficult to discern from static images Higher Education 21 (1): 17–38. (Harrower 2001). Lavin, Stephen, Sonja Rossum, and Shawn R. Slade. Finally, animation has become such a popu- 1998. Animation-based map design: The visual lar spatial-data display method that GIS and effects of interpolation on the appearance of remote-sensing software packages are offering three-dimensional surfaces. Cartographic Perspec- the capabilities of animation creation. How- tives 29:26–34. ever, funneling a mass of different datasets Moellering, Harold. 1980. The real-time animation through the same default animation commands of three-dimensional maps. The American Cartog- may not necessarily result in the ideal anima- rapher 7 (1): 67–75. tion being created in each instance. Even if the Peterson, Michael P. 1993. Interactive cartographic classification scheme presented above is not the animation. Cartography and Geographic Information one employed to select an appropriate anima- Systems 20 (1): 40–44. tion method, determining the characteristics Reiber, Lloyd. 1991. Animation, incidental learning, of the dataset as well as the mapping purpose and continuing motivation. Journal of Educational will aid in developing the animation that most Psychology 83 (3): 318–28. effectively represents the data or theory. The Thrower, N. 1959. Animated cartography. The categorization presented above allows geog- Professional Geographer 11 (6): 9–12. raphers to identify an appropriate type of ani- Tobler, W. 1970. A computer movie simulating urban mation based on the characteristics of their growth in the Detroit region. Economic Geography datasets. An animation is most likely created to 46:234–40. represent data. Just as a cartographer selects the Weber, Christopher, and Barbara Buttenfield. 1993. most appropriate thematic-mapping method A cartographic animation of average yearly surface based on the spatial data to be mapped, the temperatures for the 48 contiguous states. Car- geographer should ideally be familiar with their tography and Geographical Information Systems 20: dataset and know their mapping purpose before 141–50. selecting an animation method.’ AMY K. LOBBEN is an assistant professor in the Department of Geography at Central Michigan Literature Cited University, Mt. Pleasant, MI 48859. E-mail: Amy. Lobben@cmich.edu. Her research interests include Asoodeh, Mohannad, and Donald Clark. 1993. cognitive maps and mapping, issues and methods Visualization of design concepts. The Technology exploring navigational map-reading ability, and Teacher April:33–34. tactile maps.
You can also read