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FIGURE 1- FUNCTIONAL DIAGRAM OF THE PROTOTYPE GEOGRAPHIC INFORMATION SYSTEM | I i 1 ORMATION ^^CE TRACTION MAPS DISPLAY DISPLAY INF ELEMENT ENHANCEMENTS EX MAP DATA REDUCTION & APPROXIMATION rCr^-— f=z==z. -fl /^ JL ^N. - 1 J MAP 1 t* » ^\ PRODUCTION IN VARIOUS THRESHOLDING LINE SEGMENT ' TERRAIN TRAF 1 MODE i FORMATS GRID OVERLAYS POINT READOUT • TARGET DETECTION • MAP OVERLAYING MAP ANNOTATION . HISTOGRAMMING "THREAT • FLICKERING • MAP EDITING & UPDAT NG ENVELOPS • ZOOMING FUNCTION (CONSTRUCTION) V AND STORAGE / V / ^-^ ——————— ' V 1 ' i T C°j-° R ~~j / ~\ 1 DISK / LINE PRINT ELECTRO CHARACTER STATIC MAPPINGS PRINTER/ 1 RECORDER ' \ rRT 1 1 FILE 1 j_ ^-- —— ' XV I I STORAGE \ MAP THEMATIC MAP PRODUCTION FROM NON MAP DIGITIZATION -^•— ——— ' GREY SHADE " ——— MAPS _ ^ ———— '
media forming input to the system is raw map data, remote sensed data or analog tape data originating from some line scan system. A digitization phase is includ ed to transform analog input to a digital format. At present, digitization is tedious since the appropriate capital equipment has yet to be procured. The third phase of map development is termed thematic map prod uction. Thematic maps represent an invaluable input source for use in generating graphic overlays. This capability will be described in more detail later on. The final phase of map development, map alignment, addresses the very real issue of registering multisource geographic information. The second major func tion of the prototype system is that of map processing. Here it is assumed that the final phase of map develop ment has resulted in a file entry in the data base. In certain cases, a map product will be reduced via a suitable approximation technique. This will also be the subject of a later discussion in this paper. Map processing, for purposes of this effort, is grouped into one of four categories. These are: a display element; display enhancement; information extraction; and analysis of multisource maps. These features are enabled via analyst interaction with the IS model 70 electronics and color CONRAC monitor which permit pro cessing of 512x512 arrays of 8 bit data. The display element permits: the retrieval and subsequent display of various data formats; map overlaying; flickering and roam, to name but a few features. Display enhancement features include routines to change color assignments; threshold images; alter images radiometrically; overlay with grid registration points; annotate map; or edit and update. Another major attribute of map processing is termed statistical information extraction. Routines to assess the spatial content of the image or map are provided. These include techniques to profile ampli tude of a user selected line segment; to obtain digital amplitude readouts of a user defined target or target region, etc. A histogram capability is provided to accomplish the latter. The analysis segment is tailor ed to special applications in the military and non- military sectors. Terrain trafficability, target de tection, and threat modelling have been identified as special applications for this prototype CIS, based upon a series of potential customer contracts. In general, the application for the CIS steers the type of input and output media the CIS will need and create. 359
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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
Page 323 and 324: Figure I. On the left, a map of zon
Page 325 and 326: The other important role the error
Page 327 and 328: REFERENCES Corbett, J. (1975). "Top
Page 329 and 330: The fundamental building block of a
Page 331 and 332: discussed previously are of the COD
Page 333 and 334: [2] Bonczek, R. H.; Holsapple, C. W
Page 335 and 336: REFERENCE BASE REFERENCE LINES NAP
Page 337 and 338: Polygon data, in contrast, results
Page 339 and 340: An alternative to grid resampling i
Page 341 and 342: Should this table already contain a
Page 343 and 344: Murray, F. W. (1968) A_ Method of O
Page 345 and 346: ships between units, and thereby fe
Page 347 and 348: ture, encode, reduce, edit, format,
Page 349 and 350: could be assigned to each 40-acre g
Page 351 and 352: more on chain encoding rather than
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: sis techniques) information not pre
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 and 396: MOVING INTERACTIVE THEMATIC MAPPING
Page 397 and 398: directives. Both map and data files
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
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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
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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
Page 467 and 468:
Herbert Kressler Defense Mapping Sc
Page 469 and 470:
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
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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