INCORPORATING INHERENT MAP ERROR INTO FLOOD-HAZARD ANALYSIS

Maps are an important source of data for planning and land use analysis of flood-prone areas. Map users with inadequate training are not aware that map errors can lead to ineffective decisions. Although inherent errors introduced by transformation, map construction, and symbolization are never identified on maps, they limit the effectiveness of maps as sources of data. Additional vertical and horizontal errors can be introduced during map use. Knowledge of the sources and amounts of such errors should result in more effective decisions regarding flood hazards.     

Map Reading and Abuse

Abstract

The various advantages and limitations of geographical mapping known to map users can be functionally related to the few basic principles which constitute the very nature of the cartographic technique. Numerous map interpretation errors may be traced in large part to a common failure on the part of map users to grasp and effectively deal with these same mapping principles. Since it is possible to identify situations in environmental decision making and planning where the misuse of maps, or outright map reading abuses, could lead to adverse human and environmental impact, the problem is indeed serious. Strategies for minimizing the misuse or abuse of geographical maps appear to rely most heavily on a thorough understanding of basic mapping principles.     

Tactile-map output from geographical information systems: the challenge and its importance

Abstract

The incorporation of the technology of geographic information systems (GIS) into a wide range of planning decisions makes it important that the visually handicapped have access to GIS-based map products to participate more fully in community decision making. Fortunately, GIS contain many procedures useful to the design of tactile maps, including changes of scale and simplification. Developing research opportunities are outlined within the context of the general problem. Tactile maps using microcapsule paper can be produced quickly, but they must be tested using visually handicapped subjects to ensure that suitable symbolization and specifications are developed.     

Personalizing map content to improve task completion efficiency

Significant interaction challenges arise in both developing and using interactive map applications. Users encounter problems of information overload in using interactive maps to complete tasks. This is further exacerbated by device limitations and interaction constraints in increasingly popular mobile platforms. Application developers must then address restrictions related to screen size and limited bandwidth in order to effectively display maps on mobile devices. In order to address issues of user information overload and application efficiency in interactive map applications, we have developed a novel approach for delivering personalized vector maps. Ongoing task interactions between users and maps are monitored and captured implicitly in order to infer individual and group preferences related to specific map feature content. Personalized interactive maps that contain spatial feature content tailored specifically to users' individual preferences are then generated. Our approach addresses spatial information overload by providing only the map information necessary and sufficient to suit user interaction preferences, thus simplifying the completion of tasks performed with interactive maps. In turn, tailoring map content to specific user preferences considerably reduces the size of vector data sets necessary to transmit and render maps on mobile devices. We have developed a geographic information system prototype, MAPPER (MAP PERsonalization), that implements our approach. Experimental evaluations show that the use of personalized maps helps users complete their tasks more efficiently and can reduce information overload.     

Improvement of GIS graphics for analysis and decision-making

Abstract

Current geographical information systems (GIS) include functions to create cartographic output interactively or automatically. However, none of the systems presently incorporates mechanisms to ensure correct application of graphic functions. Many of today's users of GIS are not trained in the design and production of graphics and may create maps that confuse or mislead map users. Poorly-designed maps may obliterate the patterns in displayed information.

This article investigates ways to improve the quality of GIS graphical displays and increase their effectiveness for decision-making. Alternatives are presented for improving map design in GIS, ranging from non-technical efforts to enhancement of software functionality. Suggestions propose augmenting users' abilities to create maps in an automated environment, using an approach termed amplified intelligence: key decisions default explicitly to users, whose knowledge is amplified by a range of high-level tools to carry out map design operations automatically.     

Use of the weighted Kappa coefficient in classification error assessment of thematic maps

Abstract

The weighted Kappa coefficient is applied to the comparison of thematic maps. Weighted Kappa is a useful measure of accuracy when the map classes are ordered, or when the relative seriousness of the different possible errors may vary. The calculation and interpretation of weighted Kappa are demonstrated by two examples from forest surveys. First, the accuracy of thematic site quality maps classified according to an ordinal scale is assessed. Error matrices are derived from map overlays, and two different sets of agreement weights are used for the calculation. Weighted Kappa ranges from 0.34 to 0.55, but it does not differ significantly between two separate areas. Secondly, weighted Kappa is calculated for a tree species cover classified according to a nominal scale. Weights reflecting the economic loss for the forest owner due to erroneous data are used for the computation. The value of weighted Kappa is 0.56.     

Map Use by Adults with Visual Impairments

In this paper we summarize five experiments that were designed to investigate how tactile maps contribute to the cognitive maps of people with visual impairments. In two experiments we demonstrated that tactile maps can contribute to peoples' ability to learn a route through an unfamiliar area. From the results of two further studies, we argue that compared to people with sight, people with visual impairments have greater difficulty encoding information from a map. We considered this directly in a fifth experiment by investigating how people with visual impairments search and learn a map. We found that they used less efficient strategies than people with sight. We conclude that tactile maps are an important source of geographical information when people need to learn about new environments, but we also point out that to benefit most from tactile maps people need to encode the map information as effectively as possible. As people with visual impairments do not always use the most appropriate encoding strategies we suggest that tactile map users might benefit from greater experience and training in map encoding strategies.     

Evaluation of a Model for Predicting Simultaneous Contrast on Color Maps

Perceptions of colors of individual map symbols are affected by simultaneous contrast, or induction, from surrounding colors. In an experiment with human subjects, reaction times were significantly slower, with significantly more errors, for test maps on which an induction model predicted that colors would be misinterpreted. Reaction times and error rates improved significantly with map color adjustments that the model predicted would remove induced confusions. These results represent progress toward establishing objective guidance for the design of effective color schemes in computer-assisted mapping environments common in cartography, geographic information systems, and scientific visualization.     

A proposed base for a geographical information system for India

Abstract

Attempts have been made by different organizations in India to organize data in order to develop a suitable information system. These attempts were oriented towards specific uses, such as natural resources, data management, thematic mapping and the like. In some attempts software has been developed for some specific purpose. It is not an easy task to develop an information system for a country such as India. Its extent in latitude and longitude is well above average. There are federal and state agencies for the collection of data and the preparation of maps. The geographical information concerning India is available from the following sources: the administrative areas of states, union territories, districts, sub-districts and villages; survey sheets; remote sensing images; aerial photographs; and thematic base maps of the National Atlas and Thematic Mapping Organisation. There are other map series available which have been used for socio-economic mapping. By the end of 1987 the Indian Remote Sensing Satellite will be launched and then remotely-sensed data will be readily available. Considering the geographical bases available in the country, five levels can be identified for developing an information system for India. Some of the thematic maps at 1:1000 000 scale can be used for initiating such a geographical information system.     

Mapping the physiography of Michigan with GIS

Abstract

We present a new physiographic map of Michigan, that is also available interactively, online. Only four, small-scale physiographic maps of Michigan had been previously published. Our mapping project made use of a wide variety of spatial data, in a GIS environment, to visualize and delineate the physical landscape in more detail than has been done previously. We also examined many of the unit boundaries in the field, using a GIS running on a GPS-enabled laptop. Unlike previous physiographic maps, the online version of the map enables users to query the criteria used to define each of the 224 boundaries of its 10 major and 91 minor physiographic units. The interactive nature of the online version of the map is a unique enhancement to physiographic maps and mapping. Our study also provides data on the number and types of criteria used to define each of the 224 unit boundaries within the map. Most of our unit boundaries are based on data derived from 10-m raster elevation data and NRCS soils data, e.g., relief, soil wetness, escarpments, landscape fabric, and parent material characteristics. Data gleaned from NRCS SSURGO county-scale soil maps were a strength of the project. [Key words: Michigan, physiography, landforms, soils, GIS, mapping]     

The Educational Value of Geographical Exhibitions

Abstract

All maps lie, but some do so in especially interesting ways. Examples of errors or distortions can be found on maps appearing in magazines, newspapers, telephone directories, brochures, and even in geography textbooks. Special biases are often revealed in hand-drawn maps, or on written directions (virtual maps). Students can develop a critical eye by looking for, and collecting, maps that clearly, or cleverly, tell lies.     

A Field Plan for Large-Scale Terrain Mapping

Abstract

Field work in geography often involves an exercise in which the student is required to make some type of map. Although most areas of the United States are well mapped, seldom are extremely large-scale (larger than 1:24,000) relief maps available. A method of contour-line mapping using small contour intervals and a large scale is appropriate in teaching several mapping principles and requires only a few simple tools and the use of elementary mathematics. Percent slope is established at uniform intervals along closely spaced traverses of the area to be mapped. Spot elevations are thus established from which contour lines can be determined. Accuracy in field-data collection and care in cartography will yield a very satisfactory map of terrain characteristics of small areas. Several concepts of maps and mapping are taught through direct student involvement.     

Interpretation of Specialized Agricultural Settlements on Topographic Maps

Abstract

The topographic map can successfully supplement the geographical textbook and the field trip in aiding the teacher in the illustration of the cultural character of a place. Interpretation of cultural features on topographic maps requires a knowledge of map symbolization and some familiarity with the area or topic under study. An example of the type of cultural features that are well-illustrated by topographic maps is specialized agricultural settlement such as the gentleman horse farm. The student can formulate an interpretation key of the characteristic features of each settlement type. This will allow the successful interpretation of maps from distant or unfamiliar areas through comparison and even allow the map reader to “travel,” although vicariously, to distant areas.     

Why Geography Still Needs Pen and Ink Cartography

Abstract

Maps are fundamental in geographic explanation and education, but as map-making becomes firmly entrenched in the GIS lab, it becomes harder for students to imagine how they can make maps for their papers. Students need to illustrate papers with maps: among other things, maps provide clarity, links to real places, and insights into patterns and context of phenomena discussed in student papers. A simple, quick, and aesthetically satisfying method for students to make their own maps is presented. This map making method can help students can think more creatively and geographically about their topics.     

Determination of rasterizing error a case study with the soil map of The Netherlands

Abstract

The digital soil map of The Netherlands (scale 1: 50 000) in vector form was rasterized using three sizes of raster cell and two different rasterizing methods. The rasterizing errors were estimated for several map sheets of different complexity using the double-conversion method, the Switzer method and the Goodchild method. The relationship between the complexity of the maps, indicated by the boundary index, and the rasterizing error is presented as a regression equation. The double-conversion method provided a better estimation of the rasterizing error than the other two methods. Differences of less than 1 per cent were found between the rasterizing methods used.     

Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning

ABSTRACT

With large amounts of digital map archives becoming available, automatically extracting information from scanned historical maps is needed for many domains that require long-term historical geographic data. Convolutional Neural Networks (CNN) are powerful techniques that can be used for extracting locations of geographic features from scanned maps if sufficient representative training data are available. Existing spatial data can provide the approximate locations of corresponding geographic features in historical maps and thus be useful to annotate training data automatically. However, the feature representations, publication date, production scales, and spatial reference systems of contemporary vector data are typically very different from those of historical maps. Hence, such auxiliary data cannot be directly used for annotation of the precise locations of the features of interest in the scanned historical maps. This research introduces an automatic vector-to-raster alignment algorithm based on reinforcement learning to annotate precise locations of geographic features on scanned maps. This paper models the alignment problem using the reinforcement learning framework, which enables informed, efficient searches for matching features without pre-processing steps, such as extracting specific feature signatures (e.g. road intersections). The experimental results show that our algorithm can be applied to various features (roads, water lines, and railroads) and achieve high accuracy.     

SCALING TECHNIQUES IN THE ANALYSIS OF ENVIRONMENTAL COGNITION DATA∗

The utility of nonmetric, multidimensional-scaling techniques is demonstrated for the analysis and collection of environmental-cognition data. By comparing the multidimensional-scaling solutions of a real-setting map to scaling solutions for sketch maps and two psychophysical, distance-scaling procedures, we demonstrate that magnitude estimation of actual interpoint distances is comparable in accuracy to sketch maps when produced without constraints, or when subjects are given a specified list of landmarks to include on their maps. Triadic comparisons of actual interpoint distances were less accurate than the three other techniques.     

Paper versus Pixel: Effectiveness of Paper versus Electronic Maps To Teach Map Reading Skills in an Introductory Physical Geography Course

Abstract

This article addresses the lack of outcome-based research on the integration of technology into pedagogy at the undergraduate college level. It describes a study performed at a Midwestern university, testing the relative effectiveness of paper and electronic topographic maps for teaching map-reading skills, and considers the relationship between learning styles and paper or digital map preference. Results indicate that, although student map skill performance did not differ significantly with the use of paper or electronic maps, students preferred paper maps. Neither their performance nor their preferences were related to learning style. The article discusses the significance of these findings.     

Ventures into Viral Cartography: Waffle House,Educational Attainment,and the Social Life of Maps

Viral maps—ones that are shared widely on social media and media outlets—have become an increasingly common part of online conversations about a range of issues. Despite the increasing prevalence of these viral maps, only a few academic researchers have examined the factors leading to their popularity or their social use and effect. In this article, we analyze two case studies of viral maps, a viral tweet about the August 2017 total eclipse and an interactive tool for exploring educational attainment by neighborhood in the United States. By reflecting on our experience as authors of these maps and analyzing the reactions they elicited, we identify several key elements of these maps and their circulation. First, viral maps act as a form of phatic communication, allowing users to restate and react to shared social identities. Second, maps are read from specific times and places, and this spatiotemporal context significantly shapes the reactions of map readers. Finally, viral maps illustrate gaps or improvements in trust between mapmakers and map readers, including questions about map accuracy or the intentions behind the map. We close by considering implications for future research and viral cartography. Key Words: online maps, social networks, viral cartography.     

Using Road Maps in the Junior High School

Abstract

The activities described in this paper were developed to familiarize junior high school students with the variety of information available on road maps and to provide a means for practice of map skills. At Legg Junior High School in Coldwater, Michigan, students were presented with an introduction to road maps, followed by a series of worksheets to use in conjunction with Michigan and Ontario highway maps. After completing the worksheets, students participated in road rally games which required them to use maps and follow instructions and clues to find a specific location. The activities can be adapted for elementary school classes or for students with different levels of ability. Teachers might also want to increase the number of worksheets or road rallies to give students additional practice in skills in which they particularly need improvement.