Kansas Academy of Science, 1996 Symposium

The Butler County Geologic Map: A Case Study of the Map Production Process at the Kansas Geological Survey

Jorgina A. Ross

Kansas Geological Survey, The University of Kansas
Lawrence, KS 66047-3726

This article has been accepted for publication in the
Transactions of the Kansas Academy of Science, vol. 100, 1997.
It is available here as a preprint.

Table of Contents
Introduction Review of Research Geologic Mapping Conclusions References


This paper provides a typical example of the process for development of new county geologic maps in Kansas. Emphasis is placed on procedures used by the Automated Cartography Group at the Kansas Geological Survey (KGS) for conversion of field maps to digital geologic databases and the production of finished maps. Techniques described in this paper cover preparation of source documents from geologic field maps, digital data capture, merging of data from separate source maps into a county map database, development of the map layout database and map design, conversion of the geologic map database to hardware specific plotfiles and production of the finished map.

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Many steps are involved in the process of producing a map of county geology. This report will review these steps, relating them to production of the Butler County Geologic Map (Aber, 1994). While the entire process from inception to publication will be covered, this report will focus on elements other than geologic field work, with particular emphasis on compilation of digital geologic databases and their use in the actual design and publication of the finished geologic map. The first steps in production of a new geologic map deal with the review of past research, preliminary field investigations, and collection of new field data.

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An initial review of the status of existing maps, reports and databases is used to establish priorities among competing projects. This has been done on a statewide basis in support of proposals for COGEOMAP, STATEMAP and other KGS supported geologic mapping programs (Brady et al., 1996) and in relation to the National Geologic Map Database Project and the Kansas Geologic Map Database (Ross, 1996). Within a specific county mapping project the review of existing maps and related data is used to identify areas needing more detailed investigation. For Butler County, two previously published geologic maps cover the entire county. The State Highway Commission of Kansas (now Kansas Department of Transportation, KDOT) published a set of maps at a scale of approximately 1:80,000 (Hargadine, 1967) as part of a construction materials inventory. The Kansas Geological Survey published the 1:500,000 scale Geologic Map of Kansas (Ross, 1991) entirely from digital geologic databases. The databases for the state map were derived primarily from the previously published, 1:500,000 scale, state geologic map (Kansas Geological Survey, 1964) with additional reference to numerous county maps in east-central Kansas. A bibliography of reports relating to Butler County geology can be accessed through the on-line bibliography of Kansas geology at:
http://www.kgs.ku.edu/General/geologyIndex.html ], or in the published bibliography (Sorensen, et al., 1989, Sorensen, 1994). An extensive library of aerial photography is available for review at KGS.

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Working with these materials and preliminary field investigations, the geologist determines, within the context of established stratigraphic nomenclature, which rock units or intervals will be practical to map within the area. Hargadine (1967) focused on the outcrop patterns of only five rock units which were of interest to KDOT because of their importance as sources of construction aggregate materials. The new map (Aber, 1994) shows the distribution of numerous additional rock units in the county, particularly among the older formations in the southeast portion of the county.

Under ideal circumstances the outcrop patterns of some geologic rock units can be identified and located directly from aerial photographs. More generally, the mapping process requires interpolation of the outcrop pattern between observation points which are frequently a mile or more apart. The outcrop pattern developed by the geologist is essentially the line of intersection between a 3-dimensional model of the geologic contact surface between two mapped rock units and the model of the land surface represented on a topographic map. As stated by Sawin (1996, p.3), "geologic maps are compilations of data and inference. . . . The geologist's job [in making a geologic map] is to visualize the bedrock near the surface without the soil cover and make a map that reflects this image."

Because of the small scale at which previously available geologic maps of Butler County were published, they contain extensive cartographic generalizations (particularly in outcrop patterns). To reduce the degree of cartographic generalization, all new mapping in the KGS county mapping program is compiled on U.S. Geological Survey (USGS) 1:24,000 scale topographic maps. These topographic maps are published in quadrangles which extend 7.5 minutes in longitude and latitude.

Figure 1 (Aber, 1994) shows the location of Butler County in Kansas and the 7.5 minute quadrangles which provide topographic map coverage of the county. To develop the new geologic map of Butler County, geology was mapped on sixteen full quadrangles and 20 partial quadrangles, covering approximately 1300 square miles. The Kansas Geologic Map Database is designed so that geologic information is stored in subsets which correspond to these full or partial quadrangles within individual counties.

Figure 1: Location map for Butler County and associated 1:24,000 scale topographic maps.

index map showing topographic maps

Geologic Database Development and Map Production

The Automated Cartography Group at the Kansas Geological Survey becomes directly involved in the map production and geology database development processes as the geologist completes the working draft of the geologic map for each topographic quadrangle. From this point, Automated Cartography carries the project through six major phases to the final published map. These are: 1) preparation of suitable input documents for digital data capture; 2) data capture (digitizing at the KGS) from individual quadrangles; 3) conversion of multiple quadrangle databases to a common county map database; 4) development of the layout database and base map data for the digital map; 5) creation of map plotfiles (one for each unique output device); and 6) plotting the finished map for distribution. Important quality control steps are implemented repeatedly throughout this process.

Input Document Preparation

The first phase for Automated Cartography in the database development process is to assist in the preparation of suitable input documents for digital data capture. By the nature of their use in the field as working maps, the geologic field maps are generally not suitable as a source document for digitizing geologic map features. The field maps have usually gone through many cycles of drawing, erasing and redrawing geologic contact positions in addition to the normal wear and tear of frequent use and exposure to the elements. Therefore, the geologist or a technical assistant transfers the final geologic interpretations onto a clean, flat 1:24,000 scale topographic map, with addition of appropriate notes to identify the meaning of each feature. The geologist makes a careful check of the resulting maps for completeness and consistency between quadrangles.

On all county mapping projects that involve new field mapping, including the Butler County map project, Automated Cartography incorporates an additional step in the preparation of input documents which greatly facilitates the following phase of data capture. This step provides stable, transparent base maps where geologic features can be transferred from the geologist's maps.

A base map is prepared on mylar for each of the 1:24,000 scale topographic maps covering the county. These mylar base maps (36 in Butler County) are prepared at the same scale and projection as the corresponding topographic map, using digital cartographic data from the Kansas Cartographic Database (KCD). KCD is a collection of digital cartographic databases representing geographic features from each of the USGS 1:24,000 scale topographic maps in the state of Kansas. Data from KCD is currently distributed by the Kansas Data Access and Support Center (DASC) at the KGS. Metadata providing a technical summary of KCD can be accessed on-line at:
http://www.kansasgis.org/ ], or paper copies of the complete KCD metadata report (Ross, 1996b) can be obtained directly from DASC.

The mylar base maps are designed with sufficient reference information to insure accurate local positioning of the mylar overlays on each of the geologist's cleaned (paper) geologic quadrangle maps. The standard location reference items included from KCD are: 1) section corner locations and township and range lines from the Public Land Survey System (PLSS); 2) all significant hydrologic features from the topographic map, and 3) major highways and rail lines. In addition, the location of the four corners of the quadrangle are added for use as control points in the subsequent phase of data capture.

As stated, geologic features are carefully transferred from the cleaned version of the geologic field map to the mylar base map. This is done using colored pencils. A color coding scheme indicates the attribute code to be associated with each linear or point feature in the data capture phase. The color code will distinguish between a line representing a geologic contact and one representing a fault. The color will also distinguish between features which are visible and located with the highest degree of accuracy, not visible but inferred from indirect evidence and fairly certain in location, or concealed and estimated only with considerable uncertainty. Completed, color coded base maps are compared with adjacent quadrangles to check for edge matching of features. When a mismatch between quadrangles or omission of a geologic contact or other feature from any quadrangle is found, the geologic maps are returned to the geologist for adjustment. The previous steps are then repeated as necessary.

While several critical steps occur during the preparation of these input documents, this first phase of work by Automated Cartography is not very time consuming. The result, however, greatly improves the efficiency of subsequent phases in the map production process. Some time and cost savings may be possible by going directly from the clean geologic information drawn on paper topographic maps to the data capture phase. However, digitizing geologic information from more cluttered topographic maps is much more likely to lead to errors of omission or misidentification of features in the data capture phase.

Digital Data Capture

The data capture phase of county geologic map production is accomplished through the use of manual, point-mode digitizing techniques. Using the Survey's GIMMAP (Geodata Information Management, Mapping, and Production) system, the digitizing staff collect data points, one at a time, by placing a cursor over successive selected points along previously coded linear features on the source document and pressing a button on the cursor to 'capture' the point coordinates on the digitizing table (Figure 2). The equipment used in this process includes a back-lit digitizing table with coordinate resolution of 0.001" and repeatability of 0.003", and the attached cursor used in selecting specific points for coordinate collection.

Figure 2: Cursor being used to capture data locations from a paper geologic map. Rosalia NE quadrangle, eastern Butler County.

hands on digitizing table

Separate geologic databases are created for each quadrangle or partial quadrangle within a county as staff members begin the digitizing process for that quadrangle. The longitude and latitude of the corners of the quadrangle are entered along with the digitized table coordinates of the corners as control points so that all data locations taken from the quadrangle may ultimately be related to their corresponding geographic coordinates. The operator enters an appropriate feature code before each new line or feature is digitized. As previously indicated, the color code on the source document will cue the operator to change feature codes when a geologic outcrop changes from visible to inferred or concealed. Because the mylar base map is a relatively uncluttered document it is possible to place other important notes on the map to direct the operator to take other necessary steps in the data capture process. As in the first phase, the data capture phase is not extremely time consuming, requiring only a few hours (at most) per quadrangle.

This procedure has been selected over alternative methods commonly used for data capture. In stream-mode digitizing a cursor is moved along a feature with automatic collection of location coordinates every time the cursor moves beyond a selected threshold. To insure that an adequate number of points are captured to describe complex features, this procedure results in collection of excessive numbers of points in less complex areas. With scanning techniques the source document is first run through a raster scanning device. The resulting image is then processed to extract vector features (or an operator digitizes features from a screen display of the image), and an operator then codes the resulting features. Unless the source document is clear of all but the desired features, scanning procedures may require considerable effort dedicated to cleaning unwanted features from the raw data.

Automated Cartography's technique for data capture is probably the least sophisticated of the alternative methods. Recent comparisons with results obtained by other state geological surveys using high resolution scanning equipment and sophisticated data processing systems indicate that the methods used by the KGS Automated Cartography Group are significantly more efficient and cost effective, in both labor and equipment, while producing a highly versatile end product (Ross, 1996a).

The data capture phase is completed for each quadrangle as the original digitizing table coordinates (measured when the button is pressed on the digitizing cursor) are converted by the GIMMAP system into a binary database with X,Y coordinates in the map projection and scale (1:24,000) of the original topographic map. In this process the X,Y coordinates of the southwest corner of the quadrangle are given the values [1,1] so that all coordinates in each database will be positive.

Data Merging

In the third phase of producing the finished county geologic map, the separate quadrangle databases (36 for Butler County) are converted to a common county map database. Reprojection is the first step of this phase. Instead of separate projections for each quadrangle database, all of the data for the entire county is now reprojected to a single common projection which will be used for the published map. In addition, the scale of the projection is changed from the 1:24,000 scale of the individual quadrangle databases to a scale at which the map will be more commonly produced. At present, the common scale used for county maps is 1:50,000. It is important to note that the selection of this scale is significant only in relation to the coordinate system used in producing the complete county map database, including the digital layout base prepared in the next phase. It does not restrict the scale at which the final map may be produced. The production scale can be changed at any time by application of a simple scale factor to the finished map plotfile.

At this point in the database conversion process, the GIMMAP system provides an automated test for edge matching errors between quadrangles. Using a workstation (Figure 3), the operator checks errors identified by the system and corrects minor problems in an interactive mode. Where the error is significant, the project geologist will be consulted. If necessary, one or both quadrangles may be returned to the geologist for revisions. Preceding steps will be repeated for the changed features.

Figure 3: Typical workstation used for interactive steps in database development and map preparation.

workstation used for interactive map editing

Once the identified errors are eliminated, the GIMMAP system builds polygon topology within the new quadrangle databases. The operator then attributes and labels the polygons in the geology database. Test plots are made of the geologic data to check for consistent and correct attribute codes and labels. An appropriate color scheme for the mapped geologic units is developed at this time. Figure 4 presents a test plot for the Butler County portion of the Rosalia NE quadrangle. The boundaries between different shaded zones correspond to the surface location of geologic contacts mapped in the field. Hydrology has been added to this test plot to facilitate comparison with the aerial photograph of a portion of this quadrangle shown in Figure 5.

Figure 4: Plot of surface geology and hydrology for the Rosalia NE quadrangle in Butler County, Kansas (see quadrangle 12 in Figure 1). Reference arrows correspond to those in Figure 5.

color geologic map of Rosalia NE quadrangle

Figure 5: Aerial photograph of a portion of the Rosalia NE quadrangle in Butler County, Kansas. Reference arrows correspond to those in Figure 4.

black and white photo of part Rosalia NE quad

Each interval of rock units mapped in the quadrangle has a unique color or shade associated with it on the plot. The selection of colors requires consideration of both the artistic and information science objectives of the finished map. Colors for different mapped units must be distinct enough to ensure easy differentiation of the units on the map. At the same time, colors should not be so uncoordinated and dramatically different as to create distraction or unintended emphasis on a particular unit. The Automated Cartography Group generally maintains similarities between colors used on county geologic maps and the colors which occur within the same county on the 1:500,000 scale state geologic map. The ability to do this is limited by the fact that the larger scale county maps will generally include a larger number of mapped intervals, providing greater resolution between individual units, than occurs within the same county on the smaller scale state map.

Map Layout and Design

The fourth phase of map preparation involves development of the layout database and base map data for the digital map. This phase actually occurs in parallel with the first three phases and in some cases is initiated as soon as the county mapping project is approved and funded.

The digital layout database includes all of the reference information associated with the geologic map as well as basic format items such as map borders and neat lines. Standard reference items included in the layout database for all county geologic maps include: title, author, date of publication, sponsoring agency names and/or logos, map series number, north arrow, credits and acknowledgments, scale bars and/or statement of scale, diagram of township showing section numbering scheme, township and range identifiers around the map, geographic coordinates of the map corners, identification of bordering counties location index map, key to symbols, key to mapped geologic units, descriptive text, references and disclaimers. If appropriate, the layout will also include revision dates. Some authors also include geologic cross sections in the layout.

The base map data include all of the physical and cultural reference features which will appear as an overlay on the geologic map. These features include hydrology, reference lines (section, township and range) from the PLSS, highways and secondary roads, railroad lines, cities, and a variety of associated labels.

Plotfile Creation and Map Production

Once all of the work for the first four phases has been completed, phase five, creation of map plotfiles (one for each unique output device) is initiated. Scripts are prepared which will be used in creation of final plotfiles for the output devices. These scripts contain information to insure use of all the necessary input databases. They specify appropriate translation and scaling for each database and the proper ordering of overlays. The scripts identify relevant symbol sets and color pallets which convert plotfile codes to appropriate symbols and colors on the map. Identification of the output plotfile name and any necessary special instructions are also provided in the scripts. Once the scripts are prepared, the creation of map plotfiles is a fully automated process. The resulting plotfiles are the input for the sixth and final phase, map production for distribution. Before production for distribution begins, however, preliminary maps are plotted which are then sent to the geologist, to other reviewers and to the Survey's editorial staff. The preliminary maps are thoroughly checked for possible errors. Most commonly these are errors in spelling within the layout or base map databases and can easily be corrected by editing the appropriate database. Where more significant errors are identified the map is sent back through various preceding steps in the development process.

The Automated Cartography Group currently uses two types of color plotters (one based on electrostatic technology the other using ink-jet technology) to produce maps for distribution. Figure 6 shows the Butler County map as it is being plotted on an electrostatic plotter. Plotter technology has become a substitute for traditional press-run printing of published maps. The KGS operates on what has been referred to as 'on demand' production of maps for distribution. The objective is to minimize inventory while delivering a timely, high quality product. While electrostatic plotters were initially preferred because of their ability to handle the extremely complex color plots produced by Automated Cartography, improvements in ink-jet technology (which includes lower material costs and more recent availability of large format plotters) have made the latter technology superior to electrostatic plotters.

Figure 6: Plotting of the finished Butler County map at a scale of 1:50,000 on an electrostatic color plotter.

color plotter

There are several advantages to plotting on demand. In addition to reduced inventory maintenance costs, this approach avoids the extremely high first copy costs of traditional printing which requires printing a large number of maps to achieve low unit map costs. Many maps produced by the KGS have a specialized and limited audience which makes such large production runs inappropriate. The current method of production avoids those problems. In addition, digital geologic maps produced on demand have the advantage that needed revisions or corrections identified subsequent to initial distribution can be incorporated quickly and at very low cost without the loss of a large stock of unused inventory.

In addition to distribution of the finished paper maps, steps are also taken to facilitate distribution of the geologic databases associated with the county geologic maps. In an automated procedure, the Survey's GIMMAP system converts the spatial and attribute databases into an Arc/Info format. The databases are then transported to Arc/Info where coverages and relational databases are built and linked. The relational databases contain stratigraphic information, automatically derived from the GIMMAP attribute codes, for each of the polygons on the geologic map. Arc/Info is used to export the data in a wide range of formats, allowing the use of the data in Arcview and other GIS software.

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The Butler County Geologic Map (Aber, 1994) provides a typical example of the process for development of new county geologic maps in Kansas. The process involves establishing priorities, reviewing past work, collecting new geologic data, compiling field maps, conversion of field maps to digital databases and production of finished maps. The methods for development of digital geologic databases and publication of geologic maps described in this paper have evolved over many years of research, experimentation and development by the Automated Cartography Group at the Kansas Geological Survey. The result is a flexible, efficient, cost effective procedure capable of providing a high quality product in both digital and hard copy formats.

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