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PHOTOGRAMMETRY SESSIONS Introduction High Speed, Large Format Flatbed Photocomposition System ............ 4 P.F. Grosso Digital Terrain Services at Chicago Aerial Survey ............ 14 Jerry W. Robinson The Use of Computer Generated Maps in Interpreting Urban Forestry Data ....'. 24 William O. Lucoff An Analytical Photogrammetric Solution to a Civil Engineering Problem ........ 30 William R. Detwiler Practical Experience in Integrating Conventional Photogrammetric Compilation and Digital Mapping Techniques ........ 35 John K. Powell, Glenn L. Osick, and Thomas C. Miller Large Format Laser Scanner/Plotter System .................... 42 J.E. Turek and D.J. Walker
Page 1 and 2: '/1UTO QIRTO IV Proceedings of the
Page 3 and 4: SPONSORED BY: Proceedings of the Vo
Page 5 and 6: FOREWORD This is the fourth confere
Page 7: PREFACE The technical articles cont
Page 10 and 11: The Use of Computer Generated Maps
Page 12 and 13: Interactive Computer Mapping ......
Page 14 and 15: A Formal Model of a Cartographic In
Page 18 and 19: PHOTOGRAMMETRY There were two Photo
Page 20 and 21: I. Introduction HIGH SPEED, LARGE F
Page 22 and 23: The SVG includes all of the circuit
Page 24 and 25: Figures 7-12 are examples of output
Page 26 and 27: Figure 5 CRT Exposure Head Figure 6
Page 28 and 29: Figure 11 Portion of 20"X30" Chart
Page 30 and 31: DIGITAL TERRAIN SERVICES AT CHICAGO
Page 32 and 33: profile data is not recorded in a s
Page 34 and 35: accomplished using a unique method
Page 36 and 37: \\\\ Figure 4 - Selection of Releva
Page 38 and 39: Figure 9 - Processing by Sectors \
Page 40 and 41: THE USE OF COMPUTER GENERATED MAPS
Page 42 and 43: 100,000 plus); (2) be located in th
Page 44 and 45: The surface calculated for San Fran
Page 46 and 47: I. The Problem AN ANALYTICAL PHOTOG
Page 48 and 49: Therefore, the factors that have be
Page 50 and 51: IV. Conclusion With the advent of e
Page 52 and 53: Digital mapping hardware and techni
Page 54 and 55: 4. Hardware The integrated system i
Page 56 and 57: eginning and ending of straight lin
Page 58 and 59: LARGE FORMAT LASER SCANNER/PLOTTER
Page 60 and 61: into an RF balanced modulator. Each
Page 62 and 63: 3. Three software controlled functi
Page 64 and 65: Figure 1 Laser Scanner/Plotter Syst
Page 66 and 67:
IMAGE PROCESSING SESSION Introducti
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CARTOGRAPHIC CONSIDERATIONS FOR THE
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A. Reformatting DIRS processing beg
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D. Rectification The global mapping
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specifies a threshold to determine
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REFERENCES 1. Landsat Data Users Ha
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grams, and alphanumeric display of
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- procedural nesting (called sub-pr
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- any screen image can be associate
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6.3 Animation Control Animation con
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whole system, including discussions
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ground gain adjustment) are sent to
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the image namely: - horizon (earth-
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The photographic archive is maintai
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cartographic data, including terrai
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obstructions between a radar sensor
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The lack of such techniques creates
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7.0. Recommendations The best appro
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a) c) /IFT A\° \ \ W / \ \, 1 —
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18 19 21 23 25 29 © (16,11) (6,9)
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mm max a»f"" NSJ , —- -•- xj^
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cient. The code is suitable for pro
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DIGITAL TERRAIN MODELS There were t
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Int roduct ion THE TRIANGULATED IRR
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the point on the "back side" of thi
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By a simple extension of this proce
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of all horizon lines. Any edge cont
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TRIANGULATION-BASED TERRAIN MODELLI
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major parts to this operation - fir
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pen movement is greatly reduced for
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e display devices only, to be used
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INTERACTIVE GRAPHICS EDITING FOR IP
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DISK 42M WORDS POSTPROCESSOR DISK 7
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The numerical smoothing or editing
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FIGURE 3. PLOT OF UNACCEPTABLE EPIP
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in Figure 5. The interpolation rout
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4- -V' /•f FIGURE 6. CONTOUR PLOT
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A UNIFIED SYSTEM FOR TERRAIN ANALYS
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of several types of data stored in
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Thematic Mapping from DTM The well-
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ase are displayed in different colo
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THE DIGITAL TERRAIN MODEL AS A DATA
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Figure 1. An Example of Triangulati
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for each vertex and triangle centro
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total length of streams. The DTM da
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URBAN MAPPING There was a total of
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tions at the expense of the user. T
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Often a parcel of land is divided w
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The Property Identification Map is
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Introduction URBAN MAPPING APPLICAT
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Local geoprocessing began with the
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tions plot map features from all th
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technology have been available to d
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EXAMPLES OF AUTOMATED CARTOGRAPHY I
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INTERACTIVE COMPUTER MAPPING APPLIC
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ut also a shared recognition of a p
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associated with exploratory data an
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een most encouraging, and we antici
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often logical connections between c
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(CREATE WEST END_FROM CTOO1 CT002 C
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know that in order to get proper ap
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ALTERNATIVES TO THE POPULATION PYRA
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FIG. 1 POPULATION PYRAMIDS -* 1:74:
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Tract 1.00 Table 1. Example of Data
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FIG. 6 A TYPOLOGY OF PYRAMIDS FIG.
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COMPUTER MAPPING OF CANCER MORTALIT
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the growth rate of the 1960's. Tota
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at the p < 0.2 level if it borders
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The most remarkable census tract in
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The Problem URBAN USES OF GEO-BASED
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suited for automating the map-makin
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We, therefore, decided that a graph
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2. Project control should not be en
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EXPLORATION AND UTILITY SYSTEMS Hen
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good as it is today. Many times in
Page 216 and 217:
Fortunately, today there are some s
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used coordinate systems and put thi
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BOAMAP (Basics of Automated Mapping
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CADAE was desinged as a completely
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appears on the screen so that it ma
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creativity of the operator. Trainin
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possible. As a computer based devic
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Why landform? In recent years, ther
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Subsurface data can be developed us
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views. These plots can be used by t
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orthophotograph. An orthophotograph
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computations within a prescribed bo
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metric object, before any detailing
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In the sequel many definitions will
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The symbols of the structure are in
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XI. The data storage structure The
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Figure 3. File Layout for Model of
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DATA BASES, SMALL SYSTEMS SESSIONS
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COORDINATE FREE CARTOGRAPHY Marvin
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-*• Figure 2. Repositioning bound
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Note that the interior 1-cell c has
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The elementary cycles (also "periph
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The two ways of building a disk, po
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THE DATA STRUCTURE OF BASIS Paul M.
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1: 250000 BASIS BAY AREA SPATIAL IN
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240 in the ground coordinate system
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zsz
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DATA BASES, LARGE SYSTEMS SESSIONS
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DATA BASES, LARGE SYSTEMS There wer
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concerned with the extent to which
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Many public agencies, research inst
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o cn Sorting/Merging Q. 3 TD -s -a
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sis of the data are thus limited by
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Conclusion There is a time in the e
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through such steps as smooth-plotti
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1. Base Control 2. Waterway 3. Navi
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station CRTs by compilation overlay
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—NEW CARTOCODE permits the cartog
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The use of existing mathematical to
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seldom correspond. A lattice relate
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The CITY file is an interim form of
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necessary to find the nearest cross
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Certainly this complete coverage sh
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(though "disused railways" are also
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Table 1 Categories of rivers and la
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DIRECT PLOTS OF E COBASE Figure 2(a
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examples of atoms. An attribute-val
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VIRGINIA A/V COUNTY ADJACENCY LAKES
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were chosen arbitrarily. We do not
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'partition list 1 is a spatial data
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PROTOTYPES STATE A/V-STATE COUNTY.A
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databases sense, look up the value
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WHIRLPOOL: A GEOMETRIC PROCESSOR FO
Page 322 and 323:
When performing polygon overlay, ce
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oundaries, but the polygon identifi
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Figure II. An example from an overl
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A FORMAL MODEL OF A CARTOGRAPHIC IN
Page 330 and 331:
A grammar for directly modelling a
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of subweb is crucial to the product
Page 334 and 335:
Table 1 Subweb Production Rules (1)
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EXTRACTION OF POLYGONAL INFORMATION
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cells. The third and final task is
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(1) 7) Fig. 2: Triangulation of a G
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it. This has to do with contours wh
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LAND RESOURCE INFORMATION SYSTEMS:
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A Framework for Comparison To compa
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Table 1. Comparison of Early System
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when there are few categories (low
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ment. References Dangermond, J., (1
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numerous computer mapping or Resour
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stored in computer memory by digiti
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Data Storage Data Manipulation Timb
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In addition to obtaining plots, var
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ware systems, the development of so
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different sets of features. For exa
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o Appendix A: HAWAII: World Data Ba
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Appendix A: HAWAII: Roads OJ ui Nat
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INTERACTIVE CARTOGRAPHY, SMALL SYST
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RECENT ADVANCES IN CIS PROCESSING T
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FIGURE 1- FUNCTIONAL DIAGRAM OF THE
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The prototype system includes, at p
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# COEFFICIENTS FOR Kth ORDER POLYNO
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THE CARTOGRAPHIC POTENTIAL OP LOW-C
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processing systems used by our coll
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Four basic mapping programs and a s
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and heat from power plants Into wat
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GIMMAP: A (MINI)COMPUTER-ASSISTED C
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5. Splitting an arc at any interior
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Cao, T.T., 1976, Analyse topologiqu
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ARCS MACROS GROUPS ZONES TABLES 378
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(Socio-Economic-Environmental-Demog
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not access the map file directly, b
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machine. One such feature is virtua
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Figure 2. Per Capita Income - 1978
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INTERACTIVE CARTOGRAPHY, LARGE SYST
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AUTOMATED PRODUCTION OF A LARGE SCA
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The geologic map uses a USGS topogr
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A second category consists of those
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The ECU then began production of Cr
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- the present availability of softw
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graphic CRT display terminal. The c
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with appropriate cartographic code
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6. References 1. Allam M.M. "The Ro
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in cartographic form, the geographi
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high resolution. Samples of graphic
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for which a linear relationship exi
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the disease. Finally, a coincidenta
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from raster or lineal digital data
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to 32,000 lines in the other axis.
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TABLE I - TYPICAL CARTOGRAPHIC EBR
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MAGNETIC TAPE TRANSPORT /MASNETiq \
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Figure 6a, b and c Enroute Chart Se
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APPENDIXES AUTO-CARTO IV Staff and
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Editorial Robert T. Aangeenbrug, Te
Page 444 and 445:
Robert T. Aangeenbrug Dept. of Geog
Page 446 and 447:
Jack Barts Defense Mapping School D
Page 448 and 449:
Jon Buchholdt North Slope Borough 3
Page 450 and 451:
Howard Carr Chief, Auto Carto Branc
Page 452 and 453:
David J. Cowen Clifford I. Cummings
Page 454 and 455:
James DiLisio Linthicum Hall, Rm. 2
Page 456 and 457:
Robert L. Fantauzzo CEXEC, Inc. 830
Page 458 and 459:
James F. Fryman University of North
Page 460 and 461:
Patrick F. Grosso, Pres. Image Grap
Page 462 and 463:
Anthony V. Herr Jr. Cartographer, U
Page 464 and 465:
Dan Irwin Southern Illinois Univ. 4
Page 466 and 467:
Richard A. Kentro Henningson, Durha
Page 468 and 469:
Robert Lewis School of Public Healt
Page 470 and 471:
Louis Masse Ecole Nationale de la S
Page 472 and 473:
Bruce A. Meyer Synercom Technology,
Page 474 and 475:
Larry Newman 562 National Center Re
Page 476 and 477:
Robert D. Pettit lOM-Towill 1765 Sc
Page 478 and 479:
John S. Repp ALTEK Corp. 2150 Indus
Page 480 and 481:
J.W. Schoonmaker ASP 510 National C
Page 482 and 483:
Arlene Slocum Dept. of Geography Un
Page 484 and 485:
Haven C. Sweet University of Centra
Page 486 and 487:
Bill Ubbens U.S. Forest Service P.O
Page 488 and 489:
Marvin White Statistical Res. Div.
Page 490 and 491:
Stephen Zizzi Gerber Scientific 130
Page 492 and 493:
Henriquez, Mark ................. 4
Page 495:
PUBLICATIONS OF THE AMERICAN SOCIET
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