- 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 11 and 12: DIGITAL TERRAIN MODELS SESSIONS Int
- Page 13 and 14: DATA BASES, SMALL SYSTEMS SESSIONS
- Page 15: INTERACTIVE CARTOGRAPHY, LARGE SYST
- 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
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LARGE FORMAT LASER SCANNER/PLOTTER
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into an RF balanced modulator. Each
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3. Three software controlled functi
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Figure 1 Laser Scanner/Plotter Syst
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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
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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
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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
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A grammar for directly modelling a
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of subweb is crucial to the product
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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
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Robert T. Aangeenbrug Dept. of Geog
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Jack Barts Defense Mapping School D
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Jon Buchholdt North Slope Borough 3
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Howard Carr Chief, Auto Carto Branc
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David J. Cowen Clifford I. Cummings
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James DiLisio Linthicum Hall, Rm. 2
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Robert L. Fantauzzo CEXEC, Inc. 830
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James F. Fryman University of North
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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
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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
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J.W. Schoonmaker ASP 510 National C
- Page 482 and 483:
Arlene Slocum Dept. of Geography Un
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Haven C. Sweet University of Centra
- Page 486 and 487:
Bill Ubbens U.S. Forest Service P.O
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Marvin White Statistical Res. Div.
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Stephen Zizzi Gerber Scientific 130
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Henriquez, Mark ................. 4
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