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Geographical Review | 1992

An Application of Graphical Analysis to Semidesert Soils

Sandra Lach Arlinghaus; John D. Nystuen; Michael J. Woldenberg; S. L. Arlinghaus

Geometric models often contain elements of complex geographic processes. The shape of the curve selected to model a specific process can be crucial in determining interpretations. To illustrate this relationship we use the graphical analysis of chaos theory as a geometric model and apply it to the complex process of semidesert-soil production. This application suggests strategies for choosing when human intervention to improve soil production might be appropriate. A SYMMETRIC curves are useful as models of various real-world settings. All too often, however, the detail of the exact curve shape is of little concern in constructing these models, independent of what they might represent. In this article, we use graphical analysis (Feigenbaum 1980) to demonstrate that exact curve shape is important and that small variations in curve shape can make big differences in the geometric dynamics and the consequent interpretation of a geometric model. The case study is the application of graphical analysis to the study of semidesert soils. Curve shape can determine how matter and energy spread within a system. The different surface shapes of the tiger and the leopard may determine, for example, that the tiger will have stripes and that the leopard will have spots. When reactions cause diffusion rates of pigmentation in animal coats to vary, different spatial patterns, such as stripes or spots, emerge as standing waves of translation in the underlying surface (Xu, Vest, and Murray 1983; Murray 1988). Seiches, which are standing waves of oscillation rather than of translation, might form stripes on lakes and bays (Mosetti 1982). The position and periods of seiches depend on lake depth and coastline shape. Coastline shape might even cause reactions that influence the diffusion pattern of nearby urban traffic. The position of standing waves of all sorts is controlled by boundary shape as well as by the spread of matter or energy. In sum, shape matters. Graphical analysis, a tool from mathematical chaos theory, offers a way to understand how small geometric changes can force large geometric differences. Such analysis rests on an ordering of events, in which the output of one stage serves as the input for the next stage. Because graphical analysis cleverly uses the line y = x as a surrogate axis, it produces an easy-to* DR. ARLINGHAUS is the director of the Institute of Mathematical Geography, 2790 Briarcliff, Ann Arbor, Michigan 48105. DR. NYSTUEN is a professor of geography and urban planning at the University of Michigan, Ann Arbor, Michigan 48109. DR. WOLDENBERG is an associate professor of geography at SUNY Buffalo, Amherst, New York 14261. This content downloaded from 157.55.39.112 on Wed, 07 Sep 2016 04:30:35 UTC All use subject to http://about.jstor.org/terms


Geographical Review | 1987

Geography of City Terrain Based on Bus Routes

Sandra Lach Arlinghaus; John D. Nystuen; S. L. Arlinghaus

A geography of city terrain, based on bus routes, supplies information about steepness that is vital to maintenance of equipment. This article presents a technique to determine vertical profiles of bus routes to evaluate topography and service demands in terrain stress on vehicles. A N arbitrary abstract bus-route network, superimposed on the undulating surface of a city, would logically follow lines of lowest topographic gradient when minimal terrain-imposed stress on equipment was a factor. The resultant routing strategy would fail to provide effective service to the population, because bus-route networks should also follow service gradients. The key issue centers on how to thread routes through an urban area so that they touch a set of high-demand locations like places of employment and then connect with areally spread residential zones. Another way to pose the question is how can the linear form of a bus route get as close as possible to an area, or how can a one-dimensional linear form be routed along a winding path to fill a portion of a two-dimensional market area? The latter question appears from general context to be one that is likely to respond to an abstract approach based on fractal geometry, and we conducted an empirical study of one set of bus routes. Bus-route vertical profiles were viewed as wiggly lines, attempting to fill some sector of the market area. To understand how these routes might fill space, we developed a procedure to measure the displacement of a bus-route vertical profile from a topographic baselevel. This base was established as a slope between adjacent points like river crossings on the profile. These points force a change in elevation of a route as the bus travels from origin to terminus. Routes along paths that would maintain baselevel are analogous to the arbitrary net dropped on a city. Displacement of all others from this minimal routing response is a function of the need to serve distinct points with high demands for service as well as areally spread residential markets with different demands for service. With this broad idea expressed in a terrain context, the test case begins by displaying briefly a general procedure to classify city terrain at a 1:250,000 scale; the results of applying this procedure to Ann Arbor, Michigan, as well * This research was partially supported by a grant from the Urban Mass Transportation Administration, U.S. Department of Transportation, to the University of Michigan Transportation Research Institute. * DR. ARLINGHAUS is director of the Institute of Mathematical Geography, 1441 Wisteria Drive, Ann Arbor, Michigan 48104. DR. NYSTUEN is a professor of geography and urban planning at the University of Michigan, Ann Arbor, Michigan 48109. This content downloaded from 157.55.39.225 on Mon, 12 Jun 2017 17:54:20 UTC All use subject to http://about.jstor.org/terms THE GEOGRAPHICAL REVIEW as San Francisco, Washington, D.C., and Detroit illustrate extreme positions in the taxonomy.1 Although this classification is useful to make broad terrain comparisons among cities, it does not permit identification of variations in elevation that result from residential-service needs to be made at the city level. Therefore the report proceeds with a comprehensive analysis of the terrain in Ann Arbor at a scale of 1:24,000, based on vertical profiles of local bus routes. These profiles are partitioned by a discrete set of critical values that force variation in elevation into continuous intervals over which routeelevation displacement from a baselevel is measured. The study concludes by mapping the results of the displacement and discussing the implications of a geography of terrain based on bus routes for transit managers. TERRAIN CLASSIFICATION Terrain with a gradient in excess of 8 percent causes problems for virtually any type of vehicle, and most railroad tracks follow a grade of less than 2 percent.2 Thus a city with a large percentage of 8 percent grade might be classified as steep, one with terrain largely less than 2 percent as flat, and all others as intermediate. To determine these percentages for a specific city, we employed the following technique. The city boundary was represented as a circle to facilitate classificatory comparisons among cities; allometry was used to represent the city as a circle with a radius proportional to population. Then evenly spaced lines were used to sample the unevenly spaced contour lines within the allometric circle and to classify the underlying terrain as steep, intermediate, or flat.3 The mechanics of analyzing the terrain within a circle required sampling of the spacing between the pattern of contour lines. Generally contour lines are wiggly; however, locally all are topologically equivalent to short straightline segments. Thus a sequence of parallel short straight-line segments became a contour comb to disentangle contour lines. When the segments were spaced to represent 2 percent and 8 percent grades on a 1:250,000 topographical map with a 50-foot contour interval, they were in a form suitable for use with a topographic map of the same scale (Fig. 1). When the contour combs were applied to the pattern of contour lines representing topography on U.S. Geological Survey maps, the spacing in a set of lines appeared to fall mostly between the 2 percent and 8 percent pattern, but much of it was closer to the 2 percent end (Fig. 2). Ann Arbor was found to have terrain of Sandra Arlinghaus and John Nystuen, Terrain Effects on Bus Durability, report prepared for University of Michigan Transportation Research Institute in cooperation with Urban Mass Transportation Administration, U.S. Department of Transportation, National Technical Information Service, Springfield, Va., 1986; Sandra Arlinghaus and John Nystuen, Terrain Effects on Bus Maintenance Performance, Transportation Research Record, forthcoming. 2 Edward H. Hammond, Analysis of Properties in Land Form Geography: An Application to BroadScale Land Form Mapping, Annals of the Association of American Geographers 54 (1964): 11-19; Edward L. Ullman, The Railroad Pattern of the United States, Geographical Review 39 (1949), 242-256. 3 Waldo R. Tobler, The Spectrum of U.S. 40, Papers of the Regional Science Association 23 (1969): 4552; Hammond, footnote 2 above. 184 This content downloaded from 157.55.39.225 on Mon, 12 Jun 2017 17:54:20 UTC All use subject to http://about.jstor.org/terms CITY TERRAIN AND BUS ROUTES


Journal of the American Statistical Association | 1998

Practical Handbook of Spatial Statistics

Arlinghaus, Sandra L. , Editor-in-Chief; Sandra Lach Arlinghaus; John D. Nystuen; Daniel A. Griffith; Irina Ren Vasiliev; Stephen V. Stehman; W. Scott Overton; David W. Wong; Bin Li; Daniel G. Brown; H. Michael Feng; Ayse Can; D. S. Long; S. L. Arlinghaus


Archive | 1994

Practical handbook of curve fitting

Arlinghaus, Sandra L. , Editor-in-Chief; Sandra Lach Arlinghaus; S. L. Arlinghaus


Archive | 2002

Graph Theory and Geography: An Interactive View (Ebook)

Sandra Lach Arlinghaus; William Charles Arlinghaus; Frank Harary; S. L. Arlinghaus


Archive | 1994

Practical handbook of digital mapping : terms and concepts

Arlinghaus, Sandra L. , Editor-in-Chief; Sandra Lach Arlinghaus; Robert F. Austin; S. L. Arlinghaus


Geographical Review | 1991

Street Geometry and Flows

Sandra Lach Arlinghaus; John D. Nystuen; S. L. Arlinghaus


Archive | 1986

Essays on Mathematical Geography--III

Sandra Lach Arlinghaus; S. L. Arlinghaus


Archive | 1993

Sum Graphs and Geographic Information

Sandra Lach Arlinghaus; William Charles Arlinghaus; Frank Harary; S. L. Arlinghaus


Archive | 1990

Beyond the Fractal

Sandra Lach Arlinghaus; S. L. Arlinghaus

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William Charles Arlinghaus

Lawrence Technological University

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Frank Harary

New Mexico State University

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Bin Li

Central Michigan University

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Daniel A. Griffith

University of Texas at Dallas

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Stephen V. Stehman

State University of New York System

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