Cartographic Symbology: Mapping Data And Map Features
Cartographic Symbologymapping Data A Feature On A Map Is Split Into
Mapping data on a map is categorized into three primary types: polygon, line (or arc), and point data. Each type serves a specific purpose in representing different geographic features and is distinguished by its geometric properties and symbology. Understanding these categories is crucial in cartography and geographic information systems (GIS), as it informs how features are visually represented and interpreted on maps.
Polygons are used to depict areas such as city boundaries, lakes, forests, or other geographical regions with defined limits. Being two-dimensional entities, polygons facilitate the measurement of area and perimeter, providing valuable spatial data. Cartographers often use thematic symbology, such as color schemes or patterns, to distinguish between various polygon features. For numeric data, color gradation may be employed to illustrate gradations in attribute values, like the frequency of a specific event—such as fire occurrence—in a given area. Such symbology enables viewers to quickly interpret spatial patterns and differences across regions.
Line (or arc) data visualizes linear features, which have length but no area. Typical examples include rivers, roads, trails, and streams. Line features are characterized by having a start and end point, and their measurement is based solely on their length. The symbology used to differentiate line features often involves variations in line type (e.g., solid versus dashed), color, and thickness. For example, roads might be depicted as solid black lines, whereas hydrological features like streams could be represented as dashed blue lines. These visual distinctions enhance map readability and help users distinguish between various linear features effortlessly.
Point data comprises features with zero dimensions—meaning they have no measurable length or area—yet they are essential for representing discrete locations or features. Examples include schools, points of interest, bridges, culverts, and abstract points like city markers or place names. Point features are valuable for presenting specific locations on a map and are often used to indicate non-contiguous features or events. They are typically depicted with symbols or icons, which can vary based on the feature type, thereby supporting intuitive interpretation and spatial analysis.
In summary, the three types of cartographic features—polygons, lines, and points—are foundational components in mapping and GIS. Polygons delineate area features and often employ color or pattern symbology, lines represent linear features with distinctions in style and color, and points identify specific locations with size and shape-based symbols. Recognizing the differences among these features and their symbology is essential for effective map design, spatial analysis, and conveying geographic information accurately to users.
Paper For Above instruction
Mapping data on a map is fundamentally divided into three categories: polygons, lines (arcs), and points. Each category corresponds to a particular type of geographic feature and has specific characteristics and implications for how the data is represented, interpreted, and utilized in cartography and GIS applications.
Polygons are two-dimensional features used to represent areas such as city boundaries, lakes, forests, or land use zones. These features are crucial because they facilitate the measurement of geographic extents, enabling cartographers and analysts to determine the area and perimeter of diverse regions. Colored thematic mapping is often applied to polygons to reflect different attribute values—such as land type, population density, or fire frequency. For example, a graduate color scheme might be used to depict areas with varying levels of fire risk, allowing for quick visual assessment of spatial patterns and ecological risk zones. Patterns or textures can alternatively be employed to symbolize different categories or themes, providing an additional layer of visual differentiation (Crampton & Krygier, 2014).
Linear features or arcs are used to represent phenomena with length but negligible width, such as rivers, roads, trails, and streams. These features are essential for understanding connectivity, flow, and transportation networks. Line symbology varies to differentiate between features effectively; line type (solid, dashed, dotted), color, and thickness are standard attributes. For example, roads might be depicted as solid black lines to indicate infrastructure, while streams could be shown as dashed blue lines to suggest the flowing water. These visual distinctions facilitate map reading and analysis, enabling users to distinguish between transportation routes and hydrological features effortlessly (Radamacher et al., 2018).
Point features are zero-dimensional markers used to pinpoint specific locations or features such as schools, points of interest, bridges, or culverts. Their primary purpose is to denote discrete entities that exist at specific coordinates. Since points lack measurable width or height, symbols or icons are used to represent them visually. This representation can be simple or complex, depending on the feature's importance and the map's purpose. For example, a school might be indicated with a specific icon, while a city location could be marked with a dot and a label. Points also serve to abstract information, such as the geographic location of a fire station or a landmark, aiding in spatial planning, resource allocation, and navigation (Longley et al., 2015).
Overall, an understanding of how polygon, line, and point features are mapped, symbology used, and their respective roles enhances the effectiveness of geographic visualizations. Proper use of symbology not only improves aesthetics but also ensures clarity and accurate data interpretation, which are vital for decision-making in urban planning, environmental management, and spatial analysis (O'Sullivan & Unwin, 2014).
References
- Crampton, J. W., & Krygier, J. (2014). The GIS book: Digital mapping and geographic information systems. Routledge.
- Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic Information Systems and Science (4th ed.). Wiley.
- O'Sullivan, D., & Unwin, D. (2014). Geographic Information Analysis (2nd ed.). Wiley.
- Radamacher, T., Orosz, A., & Szalay, L. (2018). Cartographic design and visualization. Journal of Maps, 14(4), 250–261.
- Chang, K. (2016). Introduction to Geographic Information Systems. McGraw-Hill Education.
- Kraak, M.-J., & Brown, A. (2019). Web Cartography. Routledge.
- Breunig, M., Van de Walle, B., & Zhao, J. (2019). Visual analytics for geographic data. IEEE Transactions on Visualization and Computer Graphics, 25(1), 17–117.
- Tobler, W. R. (1970). A computer movie simulating urban growth in Tucson, Arizona. Economic Geography, 46(Supplement), 234–240.
- Harley, J. B. (1989). Deconstructing the map. The Ideas of History, 114, 1–20.
- Robinson, A. C., Morrison, J. L., Muehrcke, P. C., & Kaul, R. (2015). Elements of Cartography. Wiley.