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Figure 1 Laser Scanner/Plotter System Figure 2 Optical Schematic I_ _CONTROLLED AREA tl'F,±I%RH Figure 3 Block Diagram 48
Figure 4 Digitized/Recorded Image CARTOGRAPHIC INPUT PRODUCTS MAXIMUM SIZE OF INPUT MAXIMUM SCAN FORMAT THICKNESS OF SCAN MATERIAL SCANNER CHARACTERISTICS 132 cm X 183 cm (52" x 72") 127 cm x 178 cm (50" x 70") 004" to 010" IN STEPS OF 0005" SCAN TIMES 127 cm x 178 cm (50" x 70")30 MINUTES OR LESS 61 cm x 76 cm (24" x 30") 15 MINUTES OR LESS RESOLUTIONS MINIMUM SPOT SIZE POSITIONAL ACCURACY POSITIONAL REPEATABILITY OUTPUT OUTPUT FILM TYPE MAXIMUM FILM SIZE MAXIMUM PLOT FORMAT THICKNESS OF FILM 40, 20, 6, 10 Ip/mm 025 mm ( 001") + 050 mm (+ 002") + 025 mm (+ 001") 9 TRACK MAGNETIC TAPE, 800/1600 bpl IN RASTER FORMAT Figure 5 PLOTTER CHARACTERISTICS KODAK MP 2562 x MP 4562 132 cm x 183 cm (52" x 72") 127 cm x 178 cm (50" x 70") 004" to 010" IN STEPS OF 0005" RECORD TIME 127 cm x 178 cm (50"x70") 30 MINUTES OR LESS 61 cm x 76 cm (24" x 30") 15 MINUTES OR LESS VARIABLE LINE WIDTHS MINIMUM SPOT SIZE POSITIONAL ACCURACY POSITIONAL REPEATABILITY 10 mm TO 80 mm ( 004" Co ( 001") INCREMENTS 025 mm ( 001") + 050 mm (+ 002") + 025 mm (+ 001") Figure 6 49
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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 ......
Page 14 and 15: A Formal Model of a Cartographic In
Page 17 and 18: PHOTOGRAMMETRY SESSIONS Introductio
Page 19 and 20: William 0. Lucoff of Cal. State at
Page 21 and 22: widths may be varied at random from
Page 23 and 24: command codes to the minicomputer a
Page 25 and 26: Figure 2 Computer Controller EXPOSU
Page 27 and 28: — 1 X 0 u_ ABCDE M X ^ ^j to C£
Page 29 and 30: Figure 12 Portion of 48"X60" Chart
Page 31 and 32: 3. THE GAS SYSTEM Chicago Aerial Su
Page 33 and 34: mode and guides the operator throug
Page 35 and 36: Figure 1 - Input Edit Figure 2 - Li
Page 37 and 38: Figure 7 - illegal Elevations Figur
Page 39 and 40: L Figure 11-Matching Between Models
Page 41 and 42: 1. Street trees are defined as any
Page 43 and 44: exists between the calculated data
Page 45 and 46: Trom a conversation with Robert Lee
Page 47 and 48: II. The Alternatives Various conven
Page 49 and 50: With error correction as the final
Page 51 and 52: 1. Introduction PRACTICAL EXPERIENC
Page 53 and 54: instruments with digital mapping te
Page 55 and 56: the patterns and stores the digital
Page 57 and 58: o Provides the capability to conver
Page 59 and 60: II.System Description Figure 1 is a
Page 61 and 62: Status signals are located on the m
Page 63: which have been digitized and recor
Page 67 and 68: IMAGE PROCESSING The Image Processi
Page 69 and 70: II. Background The work reported in
Page 71 and 72: coordinates from topographic maps.
Page 73 and 74: polation techniques are available i
Page 75 and 76: egistrations. In all areas where re
Page 77 and 78: THE INTERACTIVE IMAGE SYSTEM FOR TH
Page 79 and 80: The operator may type in commands w
Page 81 and 82: input, each request being terminate
Page 83 and 84: The language elements invoke indepe
Page 85 and 86: IMAGE PROCESSING AND NAVIGATION FOR
Page 87 and 88: 4. Image Acquisition and Amplitude
Page 89 and 90: disc); - the satellite spin-speed w
Page 91 and 92: line start. These parameters are se
Page 93 and 94: PRACTICAL APPLICATIONS FOR DIGITAL
Page 95 and 96: need for early warning of impending
Page 97 and 98: In order to manipulate classes of f
Page 99 and 100: depends mainly on the density of fe
Page 101 and 102: A DATA STRUCTURE FOR A RASTER MAP D
Page 103 and 104: FIG. 2. A border with indicated max
Page 105 and 106: pointers associated with the max-po
Page 107 and 108: y-max 1 z \7 'x-min \x-max 3 x-min
Page 109 and 110: DIGITAL TERRAIN MODELS SESSIONS Int
Page 111 and 112: Their programs have been developed
Page 113 and 114: 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
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To an every-increasing degree, the
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potential storage volumes of depres
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Soil type sand, Vegetation trees -^
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References Brnjac, M; Carlsen, L; M
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is particularly important to allow
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(b) If Z-coordinate of the vertex B
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Figure 3a. TIN DTM Projection Figur
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URBAN MAPPING SESSIONS Introduction
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Norfolk, and Hampton Virginia. Part
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MAPPING SERVICES IN FAIRFAX COUNTY,
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If errors are detected they are res
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Some are only printed as the stocks
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URBAN MAPPING AND RELATED AUTOMATED
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tersection matching program was wri
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The selection of coding schemes wil
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cartography and are firmly committe
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main purpose of this paper. Five of
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The project was undertaken specific
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play and analysis. By breaking from
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The operating system environment is
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INTERACTIVE COMPUTER MAPPING* Thoma
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- By displaying variables in map fo
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with a start - head- and an end -ta
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Rovner, P.D and Feldman, J.A., 1968
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eading this complex type of map, (2
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y a law pertaining to persons 65 an
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So far the analysis has been concer
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enta separation to the family age g
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Mortality maps have been widely use
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1970 population values, growth rate
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CANCER MORTALITY BY CENSUS TRACT 19
Page 203 and 204:
References Burbank, F., Epidemiolog
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Computer graphics is changing all t
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time to define the uses to which th
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tually complete - we had a meeting
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EXPLORATION AND UTILITY SYSTEMS SES
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AUTOMATED MAPPING AND FACILITIES MA
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turned out to be a boon for automat
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As an example, one utility had five
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suburb of Denver, is a group of eng
Page 221 and 222:
Introduction CADAE * (COMPUTER AIDE
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using CADAE, but the convenience an
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fractions of an inch to 1/64 or in
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Now that the viability of CADAE has
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"LANDFORM" LAND ANALYSIS AND DISPLA
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(2) Information Display (3) Design
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scales, and perspective views can b
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ENGINEERING APPLICATIONS OF DIGITAL
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Once the Map Grids are complete, th
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TOPOLOGICAL MODELS FOR ARCHITECTURA
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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
Page 329 and 330:
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
Page 387 and 388:
The present and future Low-resoluti
Page 389 and 390:
Development of GIMMAP at the Kansas
Page 391 and 392:
The second area of development is a
Page 393 and 394:
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
Page 421 and 422:
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
Page 453 and 454:
Richard Davis NOAA, NOS 6001 Execut
Page 455 and 456:
John Durkin Suiranagraphics 35 Bren
Page 457 and 458:
E. Porrest A-E-C Automation Newslet
Page 459 and 460:
Barry J. Glick Middlebury College M
Page 461 and 462:
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
Page 487 and 488:
D.J. Walker Image Graphics 107 Ardm
Page 489 and 490:
Alberta Auringer Wood Chairperson,
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AUTHOR INDEX - VOLUME II Allam, M.
Page 493:
Schmidt, Warren E. ...............
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