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(Socio-Economic-Environmental-Demographic Information System) [1] , a broadly-based set of data bases and software which includes 100 million data items and a wide variety of analytic and display tools. We know that displays such as CARTE are indispensable to our users and we feel that as the state of the art is advanced it will become possible and economical to supply the general public with these kinds of graphic displays. This will allow citizens to participate in decision-making with the same access to data that only a few lucky administrators now have. 2. Software Organization SEEDIS, including CARTE, has been under development since 1972 (see [2] for an overview of an earlier version of CARTE) , but the recent acquisition of a Digital Equipment VAX-11/780 prompted us to do a complete redesign. An overview of CARTE program structure is given in Figure 1. CARTE FUNCTIONAL MODULES DATA MAP INSETS USER INTERFACE | ____t /KEYBOARD / REMOTE MINICOMPUTER TERMINAL GRAPHICS DEVICE DRIVER Figure 1. CARTE Functional Overview As shown, input comes from three sources: geographic base (map) file, thematic data file and user 380
directives. Both map and data files for use in CARTE are prepared by other modules in the SEEDIS system. Map files are organized by polygon, with each record containing an array of geocodes as well as a list of boundary points. No other topological information is maintained in the map file. Data files are also keyed using geocodes, so that map records and data records may be presented in any order. Output from CARTE is mainly in the form of maps, but it can also display tables and histograms of data items for exploratory purposes. Another form of output is the script file, by which a user can save and recall the design of a map. The script file is in the form of CARTE directives, so that it may be modified with a text editor and reprocessed in CARTE to produce a corrected map design. Intelligent Terminals To support the possible use of intelligent terminals in map-making we have divided CARTE conceptually into two parts: host- and (potentially) terminal-resident. The philosophy behind the division is this: Basic graphic display functions must be performed by the terminal, while manipulation of items from a large data base can only be done by the host. For rapid response, the map itself is stored at the terminal. Tn order to make a map, certain information must be passed from the host to the terminal. The exact division between the parts was chosen to minimize the amount of this information. With the separation of control and graphics generation, CARTE can use a unique graphics portion for each graphics device. This allows wide variations in strategy for controlling these devices. Even the map files can be different for differing terminals, since they are unique to each terminal. With raster devices, we would expect to store the image in raster form and manipulate the color look-up table to achieve the desired display [3]. This approach promises extremely fast graphic generation for many types of maps. The terminal functions include the geographic base file interface plus routines to display symbolism and annotation. The remainder of the program (about 90% of the code), is the host portion. It includes the control program, data base interface and user input analysis and semantic routines. The host computer does 381
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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
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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
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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
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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
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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
Page 345 and 346: ships between units, and thereby fe
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Page 349 and 350: could be assigned to each 40-acre g
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Page 353 and 354: RIDS-CURRENT TECHNOLOGY IN RESOURCE
Page 355 and 356: The RID system is designed to overl
Page 357 and 358: Data Input Once the relevant data h
Page 359 and 360: Data Manipulation Timber Contour Cu
Page 361 and 362: THE DEVELOPMENT OF A NATIONAL SMALL
Page 363 and 364: III. The National Small-Scale Data
Page 365 and 366: cally-structured data base is under
Page 367 and 368: Appendix A: HAWAII: Hydrography U>
Page 369 and 370: INTERACTIVE CARTOGRAPHY, SMALL SYST
Page 371 and 372: options but it also extends our res
Page 373 and 374: sis techniques) information not pre
Page 375 and 376: media forming input to the system i
Page 377 and 378: D. CIS Data Base Limitations There
Page 379 and 380: input space into a set of 8 x 8 sub
Page 381 and 382: esolution of the system and the num
Page 383 and 384: impractical to use this terminal fo
Page 385 and 386: 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
Page 395: MOVING INTERACTIVE THEMATIC MAPPING
Page 399 and 400: Parameters are commonly of the form
Page 401 and 402: 7. Conclusions In the s:!x months C
Page 403 and 404: INTERACTIVE CARTOGRAPHY, LARGE SYST
Page 405 and 406: developed at LBL has been particula
Page 407 and 408: printed at a common scale and forma
Page 409 and 410: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.
Page 411 and 412: V. Production Sequence The most imp
Page 413 and 414: 1. Introduction MULTIPLE SYSTEM INT
Page 415 and 416: measurements during map compilation
Page 417 and 418: Photogrammetric —— > Digitizer/
Page 419 and 420: intersections. These are a few exam
Page 421 and 422: Introduction ENERGY ANALYSIS BY MEA
Page 423 and 424: enabled us to undertake runs consit
Page 425 and 426: Cost (k $) (D CD M M
Page 427 and 428: which seek to incorporate powerful
Page 429 and 430: ELECTRON BEAM RECORDERS FOR AUTOMAT
Page 431 and 432: data files are supplied as an 8 Bit
Page 433 and 434: signals representative of map featu
Page 435 and 436: composite photograph prepared to sh
Page 437 and 438: Figure 5 16 AAIPS Approach Charts R
Page 439 and 440: Figure 8 - LANDSAT Image Recorded i
Page 441 and 442: AUTO-CARTO IV STAFF AND COMMITTEES
Page 443 and 444: University of Kansas Mike Hogben A'
Page 445 and 446: 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
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Steven D. Clark Petroleum Informati
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Richard Davis NOAA, NOS 6001 Execut
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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
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Lee P. Johnston GeoGraphic Decision
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Herbert Kressler Defense Mapping Sc
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D. Richard Lycan Center for Pop. Re
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Robert K. McKinney Weyerhaeuser Co.
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Joel L. Morrison Dept. of Geography
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David Osiecki 83 Gerber Rd. South W
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A.D. Poole Phillips Petroleum Co. 2
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Dirck L. Rotty USDA Forest Service
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Craig L. Shafer NFS 18 & C Street,
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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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