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Tract 1.00 Table 1. Example of Data for One Tract Age Group 00-04 05-09 10-14 15-17 18-24 25-34 35-44 45-54 55-59 60+ Total Males 143 141 158 91 228 226 155 167 66 107 1482 Females 115 161 136 83 195 219 170 178 55 142 1454 Persons 258 302 294 174 423 445 325 345 121 249 2936 % by age .088 .103 .100 .059 .144 .152 -111 .118 .041 .085 - J% by age .296 .321 .316 .243 .380 .389 .333 .343 .203 .291 - Sex ratio 1.24 0.87 1.16 1.10 1.17 1.03 0.91 0.94 1.20 0.75 FIG. 4 EIGENVALUES FOR PERCENT BY AGE DATA Size 5-• Portland, Ore. 16 Age Groups Size 5-- Madison, Wis 2 3 i 5 6 3 45 6r 8 9 10 Factor by order Factor by order FIG. 5 FACTOR LOADINGS FOR PERCENT BY AGE DATA 0-4 • X 30-34 I——ffH——I——h 15-19 * 45-49 1.0 176
So far the analysis has been concerned only with age distributions, not the varying proportions of males and females. A regression analysis was performed to find out whether it would be reasonable to view geo graphic sex ratio variations as largely explained by geographic age variations. The results suggest this to be true to some extent, but multiple correlations are not high. As a check on the model the factor scores and loadings (for age factors I-IV) and regression weights for sex ratios were used to reconstruct the pyramids for each tract. The results were highly encouraging for the age data with about half the correlations between actual and estimated percent by age over .99. The results for sex ratios were not as good as shown by the correlation coefficients, but the errors as measured by Gini coef ficients, were about equal in absolute terms to those for percent by age. IV. Alternative Graphic Displays The analysis described above allows a considerable re duction in complexity of the age-sex data. Several examples of maps stemming from this analysis are dis cussed below. The first example is a legend intended to assist the reader in interpreting maps which are composed of "synthesized" population pyramids (Figure 6). This diagram provides the reader with a visual crutch which can help make sense of the sometimes bewildering var iety of pyramids that appear on the map. These leg end pyramids were constructed from the model's factor loadings and regression values. The second example is a map composed of color tones (Figure 7) which also are used in the map legend and are intended to allow the reader's eye to scan the map more rapidly. This color coding should aid the map reader in such tasks as (1) finding areas with certain types of population structures; (2) comparing areas; and (3) making general statements about regional trends and differences. Population pyramids (as in Fig. 1) can be printed over these tones, as could dots or other point or line symbols. The values for the color sep arations are factor scores for factors I and II from the age analysis, color standardized to key the mag- 177
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'/1UTO QIRTO IV Proceedings of the
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SPONSORED BY: Proceedings of the Vo
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FOREWORD This is the fourth confere
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PREFACE The technical articles cont
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The Use of Computer Generated Maps
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Interactive Computer Mapping ......
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A Formal Model of a Cartographic In
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PHOTOGRAMMETRY SESSIONS Introductio
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William 0. Lucoff of Cal. State at
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widths may be varied at random from
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command codes to the minicomputer a
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Figure 2 Computer Controller EXPOSU
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— 1 X 0 u_ ABCDE M X ^ ^j to C£
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Figure 12 Portion of 48"X60" Chart
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3. THE GAS SYSTEM Chicago Aerial Su
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mode and guides the operator throug
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Figure 1 - Input Edit Figure 2 - Li
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Figure 7 - illegal Elevations Figur
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L Figure 11-Matching Between Models
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1. Street trees are defined as any
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exists between the calculated data
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Trom a conversation with Robert Lee
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II. The Alternatives Various conven
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With error correction as the final
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1. Introduction PRACTICAL EXPERIENC
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instruments with digital mapping te
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the patterns and stores the digital
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o Provides the capability to conver
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II.System Description Figure 1 is a
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Status signals are located on the m
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which have been digitized and recor
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Figure 4 Digitized/Recorded Image C
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IMAGE PROCESSING The Image Processi
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II. Background The work reported in
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coordinates from topographic maps.
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polation techniques are available i
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egistrations. In all areas where re
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THE INTERACTIVE IMAGE SYSTEM FOR TH
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The operator may type in commands w
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input, each request being terminate
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The language elements invoke indepe
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IMAGE PROCESSING AND NAVIGATION FOR
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4. Image Acquisition and Amplitude
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disc); - the satellite spin-speed w
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line start. These parameters are se
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PRACTICAL APPLICATIONS FOR DIGITAL
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need for early warning of impending
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In order to manipulate classes of f
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depends mainly on the density of fe
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A DATA STRUCTURE FOR A RASTER MAP D
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FIG. 2. A border with indicated max
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pointers associated with the max-po
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y-max 1 z \7 'x-min \x-max 3 x-min
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DIGITAL TERRAIN MODELS SESSIONS Int
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Their programs have been developed
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that the purpose of the digital ter
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equirement for such a program is th
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equivalent to locating the lines of
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Brassel, K.,1974,"A Model of Americ
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It is not the intention of this pap
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One feature in this should be empha
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neighbouring data points to estimat
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Lawson, C.L., 1977. Software for C-
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EDIT SYSTEM HARDWARE The IPIN Edit
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Each edit terminal will also contai
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FIGURE 2. PLOT OF GEOMORPHIC DATA 1
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a 0° 0 0 + 0 o 0 FIGURE 4. SELECTE
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FIGURE 5. CONTOUR PLOT OF INTERPOLA
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absorbed in the merger if the diffe
Page 141 and 142: To an every-increasing degree, the
Page 143 and 144: potential storage volumes of depres
Page 145 and 146: Soil type sand, Vegetation trees -^
Page 147 and 148: References Brnjac, M; Carlsen, L; M
Page 149 and 150: is particularly important to allow
Page 151 and 152: (b) If Z-coordinate of the vertex B
Page 153 and 154: Figure 3a. TIN DTM Projection Figur
Page 155 and 156: URBAN MAPPING SESSIONS Introduction
Page 157 and 158: Norfolk, and Hampton Virginia. Part
Page 159 and 160: MAPPING SERVICES IN FAIRFAX COUNTY,
Page 161 and 162: If errors are detected they are res
Page 163 and 164: Some are only printed as the stocks
Page 165 and 166: URBAN MAPPING AND RELATED AUTOMATED
Page 167 and 168: tersection matching program was wri
Page 169 and 170: The selection of coding schemes wil
Page 171 and 172: cartography and are firmly committe
Page 173 and 174: main purpose of this paper. Five of
Page 175 and 176: The project was undertaken specific
Page 177 and 178: play and analysis. By breaking from
Page 179 and 180: The operating system environment is
Page 181 and 182: INTERACTIVE COMPUTER MAPPING* Thoma
Page 183 and 184: - By displaying variables in map fo
Page 185 and 186: with a start - head- and an end -ta
Page 187 and 188: Rovner, P.D and Feldman, J.A., 1968
Page 189 and 190: eading this complex type of map, (2
Page 191: y a law pertaining to persons 65 an
Page 195 and 196: enta separation to the family age g
Page 197 and 198: Mortality maps have been widely use
Page 199 and 200: 1970 population values, growth rate
Page 201 and 202: CANCER MORTALITY BY CENSUS TRACT 19
Page 203 and 204: References Burbank, F., Epidemiolog
Page 205 and 206: Computer graphics is changing all t
Page 207 and 208: time to define the uses to which th
Page 209 and 210: tually complete - we had a meeting
Page 211 and 212: EXPLORATION AND UTILITY SYSTEMS SES
Page 213 and 214: AUTOMATED MAPPING AND FACILITIES MA
Page 215 and 216: turned out to be a boon for automat
Page 217 and 218: As an example, one utility had five
Page 219 and 220: suburb of Denver, is a group of eng
Page 221 and 222: Introduction CADAE * (COMPUTER AIDE
Page 223 and 224: using CADAE, but the convenience an
Page 225 and 226: fractions of an inch to 1/64 or in
Page 227 and 228: Now that the viability of CADAE has
Page 229 and 230: "LANDFORM" LAND ANALYSIS AND DISPLA
Page 231 and 232: (2) Information Display (3) Design
Page 233 and 234: scales, and perspective views can b
Page 235 and 236: ENGINEERING APPLICATIONS OF DIGITAL
Page 237 and 238: Once the Map Grids are complete, th
Page 239 and 240: TOPOLOGICAL MODELS FOR ARCHITECTURA
Page 241 and 242: dimension, may be oriented in two w
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1-cells, and the 0-cells on the bou
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IX. One and two-dimensional structu
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looking from c^ to c9 near side far
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Figure 4 File Layout for Model of a
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DATA BASES, SMALL SYSTEMS There wer
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The consistency requirements are se
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A 0-cell is A 1-cell is a A 2-cell
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is a 2-ditnensional surface, and pr
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Our Algorithm From the topological
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(a) graph \ (b) disk: node 5 lO (c)
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as earthquake damage assessment, lo
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data is relatively simple. Problems
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In theory, the structure of such a
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BASIS resides on a minicomputer ope
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DATA BASES, LARGE SYSTEMS SESSIONS
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Robert Haralick and Linda Shapiro o
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COMPUTER-ASSISTED ENVIRONMENTAL DAT
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System (GRIDS) and Calma Mapping Sy
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Results Space does not permit the r
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encoded data appear to be very sign
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NATIONAL OCEAN SURVEY—AUTOMATED I
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centered at NOS Headquarters, but r
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separately. There are also five of
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graphic, chart base, and labels may
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Introduction GEOMODEL - INTEGRATED
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ace, income, miles of bus-lines, or
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phrase pointer Figure Ib. 1-cell Fe
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Implementation The development plan
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ECQBASE OF BRITAIN: status report o
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1. Coastlines (high water mark) inc
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much statistical data, e.g. , from
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Figure 1 Scale of digitisation of p
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I. Introduction A DATA STRUCTURE FO
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One obvious division of the state i
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Figure 2 illustrates this structure
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Raster or grid form is another form
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For each type of spatial data struc
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The following questions are possibl
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4. Freeman, H., "Computer Processin
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also be generalized to remove exces
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Figure I. On the left, a map of zon
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The other important role the error
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REFERENCES Corbett, J. (1975). "Top
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The fundamental building block of a
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discussed previously are of the COD
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[2] Bonczek, R. H.; Holsapple, C. W
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REFERENCE BASE REFERENCE LINES NAP
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Polygon data, in contrast, results
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An alternative to grid resampling i
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Should this table already contain a
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Murray, F. W. (1968) A_ Method of O
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ships between units, and thereby fe
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ture, encode, reduce, edit, format,
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could be assigned to each 40-acre g
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more on chain encoding rather than
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RIDS-CURRENT TECHNOLOGY IN RESOURCE
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The RID system is designed to overl
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Data Input Once the relevant data h
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Data Manipulation Timber Contour Cu
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THE DEVELOPMENT OF A NATIONAL SMALL
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III. The National Small-Scale Data
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cally-structured data base is under
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Appendix A: HAWAII: Hydrography U>
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INTERACTIVE CARTOGRAPHY, SMALL SYST
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options but it also extends our res
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sis techniques) information not pre
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media forming input to the system i
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D. CIS Data Base Limitations There
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input space into a set of 8 x 8 sub
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esolution of the system and the num
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impractical to use this terminal fo
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and heat from power plants into wat
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The present and future Low-resoluti
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Development of GIMMAP at the Kansas
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The second area of development is a
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GROUP Fig. 1
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MOVING INTERACTIVE THEMATIC MAPPING
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directives. Both map and data files
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Parameters are commonly of the form
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7. Conclusions In the s:!x months C
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INTERACTIVE CARTOGRAPHY, LARGE SYST
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developed at LBL has been particula
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printed at a common scale and forma
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1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.
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V. Production Sequence The most imp
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1. Introduction MULTIPLE SYSTEM INT
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measurements during map compilation
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Photogrammetric —— > Digitizer/
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intersections. These are a few exam
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Introduction ENERGY ANALYSIS BY MEA
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enabled us to undertake runs consit
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Cost (k $) (D CD M M
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which seek to incorporate powerful
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ELECTRON BEAM RECORDERS FOR AUTOMAT
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data files are supplied as an 8 Bit
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signals representative of map featu
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composite photograph prepared to sh
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Figure 5 16 AAIPS Approach Charts R
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Figure 8 - LANDSAT Image Recorded i
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AUTO-CARTO IV STAFF AND COMMITTEES
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University of Kansas Mike Hogben A'
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Efi Arazi, President Sci-Tex Corp.,
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Peter F. Bermel Chief, Eastern Mapp
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Sherry K. Brown Princeton Universit
Page 451 and 452:
Steven D. Clark Petroleum Informati
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Richard Davis NOAA, NOS 6001 Execut
Page 455 and 456:
John Durkin Suiranagraphics 35 Bren
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E. Porrest A-E-C Automation Newslet
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Barry J. Glick Middlebury College M
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Jim Hargis M & S Computing Co. 14 I
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Howard C. Hopps Dept. of Pathology
Page 465 and 466:
Lee P. Johnston GeoGraphic Decision
Page 467 and 468:
Herbert Kressler Defense Mapping Sc
Page 469 and 470:
D. Richard Lycan Center for Pop. Re
Page 471 and 472:
Robert K. McKinney Weyerhaeuser Co.
Page 473 and 474:
Joel L. Morrison Dept. of Geography
Page 475 and 476:
David Osiecki 83 Gerber Rd. South W
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A.D. Poole Phillips Petroleum Co. 2
Page 479 and 480:
Dirck L. Rotty USDA Forest Service
Page 481 and 482:
Craig L. Shafer NFS 18 & C Street,
Page 483 and 484:
Bobby Staudt M & S Computing 406 Au
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Laure Thompson George Mason Univers
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D.J. Walker Image Graphics 107 Ardm
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Alberta Auringer Wood Chairperson,
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AUTHOR INDEX - VOLUME II Allam, M.
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Schmidt, Warren E. ...............
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